{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "219160a4", "metadata": {}, "outputs": [], "source": [ "# Import external toolboxes, functions\n", "import numpy as np\n", "import pandas as pd\n", "\n", "from matplotlib import pyplot as plt\n", "from matplotlib.colors import to_rgba, LinearSegmentedColormap\n", "\n", "from scipy.stats import sem, wilcoxon, mode, mannwhitneyu, kruskal, chi2_contingency\n", "import statsmodels.api as sm\n", "from statsmodels.formula.api import ols\n", "from pycircstat import vtest" ] }, { "cell_type": "code", "execution_count": 2, "id": "dccb2048", "metadata": {}, "outputs": [], "source": [ "# Import custom functions\n", "from parameters import * # all-caps variables come from here\n", "from util import *\n", "from hht import HHT" ] }, { "cell_type": "markdown", "id": "563a9ad4-6c2b-4d4b-a2d2-dfa011de5f88", "metadata": {}, "source": [ "### Define some plotting functions" ] }, { "cell_type": "markdown", "id": "bb741b6c", "metadata": {}, "source": [ "### Figure 1B\n", "Example traces of pupil size, run speed, and spike counts." ] }, { "cell_type": "code", "execution_count": 3, "id": "fef20905", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: pupil_spontaneous.pkl\n", "Loading: pupil_sparsenoise.pkl\n", "Loading: ball_spontaneous.pkl\n", "Loading: ball_sparsenoise.pkl\n", "Loading: spikes_spontaneous.pkl\n", "Loading: spikes_sparsenoise.pkl\n" ] } ], "source": [ "# Load pupil size, run speed, and neural data\n", "conditions = ['spontaneous', 'sparsenoise'] # gray screen and sparse noise experiments\n", "df_pupil = load_data('pupil', conditions)\n", "df_run = load_data('ball', conditions)\n", "df_spikes = load_data('spikes', conditions)\n", "df_spikes = filter_units(df_spikes, MINRATE) # remove units with min. rate less than threshold \n", "df = pd.merge(pd.merge(df_pupil, df_run), df_spikes).set_index(['m', 's', 'e', 'u']) # merge into one big dataframe" ] }, { "cell_type": "code", "execution_count": 4, "id": "d883f872", "metadata": {}, "outputs": [], "source": [ "# Specify example mouse, experiment, and neuron using a 'key'\n", "idx = key2idx(FIG1BEXAMPLEKEY)\n", "t0, t1 = FIG1BEXAMPLETRANGE\n", "\n", "# Fetch experiment data from dataframe\n", "pupil_area = df.loc[idx]['pupil_area']\n", "pupil_tpts = df.loc[idx]['pupil_tpts']\n", "run_speed = df.loc[idx]['run_speed']\n", "run_tpts = df.loc[idx]['run_tpts']\n", "\n", "# Fetch spikes and convert to binned spike rates\n", "spk_times = df.loc[idx]['spk_times']\n", "tbins = np.arange(t0, t1, FIG1BTBINWIDTH) # time bins\n", "spk_rates = np.histogram(spk_times, bins=tbins)[0] / FIG1BTBINWIDTH\n", "spk_tpts = tbins[:-1] + FIG1BTBINWIDTH / 2\n", "\n", "# Fetch burst times and restirct to time range\n", "burst_times = df.loc[idx]['burst_times']\n", "burst_times = burst_times[(burst_times >= t0) & (burst_times <= t1)]" ] }, { "cell_type": "code", "execution_count": 5, "id": "75c601dc", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(2, sharex=True)\n", "\n", "# Firing rates\n", "axs[0].bar(spk_tpts, spk_rates, width=FIG1BTBINWIDTH, color=COLORS['tonicspk'], alpha=0.5)\n", "axs[0].scatter(burst_times, np.ones_like(burst_times), color=COLORS['burst'], marker='$*$')\n", "\n", "# Remove axes and add scale bar\n", "axs[0].xaxis.set_visible(False)\n", "axs[0].yaxis.set_visible(False)\n", "axs[0].plot([t0 - 5, t0 - 5], [0, 10], color=COLORS['tonicspk'], alpha=0.5)\n", "axs[0].text(t0 - 11, 0, 'Firing rate\\n10 spk/s', rotation=90, ha='center', fontsize=LABELFONTSIZE)\n", "\n", "# Pupil size data\n", "ax_pupil = axs[0].twinx()\n", "i0, i1 = pupil_tpts.searchsorted([t0, t1])\n", "ax_pupil.plot(pupil_tpts[i0:i1], pupil_area[i0:i1], color=COLORS['pupil'])\n", "\n", "# Remove axes and add scale bar\n", "ax_pupil.xaxis.set_visible(False)\n", "ax_pupil.yaxis.set_visible(False)\n", "ax_pupil.plot([t1 + 5, t1 + 5], [0.03, 0.05], color=COLORS['pupil'])\n", "ax_pupil.text(t1 + 12, 0.028, 'Pupil area\\n(2% of eye area)', fontsize=LABELFONTSIZE, ha='center', rotation=90)\n", "ax_pupil.set_ylim(bottom=pupil_area.min())\n", "\n", "# Run speed data\n", "i0, i1 = run_tpts.searchsorted([t0, t1])\n", "axs[1].plot(run_tpts[i0:i1], run_speed[i0:i1], color=COLORS['run'])\n", "\n", "# Remove axes and add scale bar\n", "axs[1].xaxis.set_visible(False)\n", "axs[1].yaxis.set_visible(False)\n", "axs[1].plot([t1 + 5, t1 + 5], [0, 5], color=COLORS['run'])\n", "axs[1].text(t1 + 12, 0, 'run speed\\n(5 cm/s)', fontsize=LABELFONTSIZE, ha='center', rotation=90)\n", "axs[1].set_ylim(bottom=-2.5, top=15)\n", "\n", "# Remove all axis lines\n", "for ax in list(axs) + [ax_pupil]:\n", " ax.set_frame_on(False)\n", " \n", "# Time scale bar\n", "tbar_length = 30\n", "t0_tbar = t1 - tbar_length\n", "axs[1].plot([t0_tbar, t1], [-2, -2], c='k', lw=1.5)\n", "axs[1].text(t1 - 8, -1.5, '%ds' % tbar_length, fontsize=LABELFONTSIZE)\n", " \n", "# Adjust spacing and size\n", "fig.subplots_adjust(hspace=-0.75)\n", "set_plotsize(w=16, h=4)\n", "\n", "fig.savefig(FIGUREPATH + 'example_traces' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "bc132382", "metadata": {}, "source": [ "### Figure 1C\n", "Modulation of firing rates by pupil size." ] }, { "cell_type": "code", "execution_count": 3, "id": "502fda64-cddd-44d7-a489-ef060b134e6c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: sizetuning_spontaneous_spk.pkl\n", "Loading: sizetuning_sparsenoise_spk.pkl\n", "Monotonic increasing: 62/140 (44.3)\n" ] }, { "data": { "image/png": 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heYidQ2njjh8/Lnh6egomJiaClZWV4O3tLVy+fLnc16m6qdMZPP369YO9vT22bdumOnf//n04Ojpi9+7dJRzwDMPUXeq0zzImJgaurq5q55o3bw5TU1PExMRU06wYhtFF6rzP8tXQB6Bwx04ul4uSwbnYDKN7UBjMdXplyTAMI5Y6vbKUyWTIzMwscV4ul0Mmk4mSoekXrGjl6Thvb7nj0g/9gOxLL8dYdB2GBgNLhpcUp4WtWbmPa0uvljYkct3sLUnkTujRnERuQtozErktG5qTyD0Y9YhEbhMrE0nldXCwKnFO/ixXEtkNzI0lkVMadXpl6erqWsI3mZiYCIVCUcKXSU3uk3vlHjMMU73U6ZXl4MGDsWrVKmRnZ8PCwgIAEBISAhMTE3h5eVXtZF51fYpwhR77xJtiJriSmEEi98zdVBK53x69QyLXvL4hidyf/04gkfswM4dEbn1DA0nlrZ/QtcS5uTuuSXoPCuq0spw6dSrWrVuH0aNHY968eYiLi0NQUBBmzZoFS0sak7EsjGwd8eL+dbVjTXwRfpNkLmO6Vi7ouCymebcmkZv9PI9E7u3H2SRyc/OVJHJbNaRxy6RkvyCRW5yaEMFYp5WlTCbDkSNHEBAQAD8/P1hbW2PmzJkICgqq8rmwGc4wuk2dVpZAYUmpo0ePVvc0UKDIKPe4NByspXW8F+HS2IJEbvSDLBK5FvVpPsZmxjRyh3XUXHFHGzIUNCvseRKbyHNfL7kf0KFpyU0fXaPOK0tdwcDMGvlpiWrHmthxqfSagZVFX58mdtTGzIhELtUuu40Zzc6qrTnN69CsgSmJ3B//3Y1EbnEcZDRzl5I6vRuuS7zqoxTjs2QYpurglaWOoI3PMlFOs/upT5SVFP2Qxgzfd11zbURtcHcUF2tbUSyIdtktTWjkDnSz0zyokni7NCS/R2VhZakraBE65Nu2EclUnuXmk8jdd41GqVH5LBPSFCRyHxGF+FCZso0t60sqr7SgdBvCYHKpYGWpI2gTOvR6e5qNAncnmhXVWz1pXAsmRtLGARZBFeIjgCZM5mFG6a0cKsstiUOoSlOWcU+eSnoPCthnqSNw6BDD6Da8stQVtDDDox6UzGuXgqZEIUmHoh+TyP3AuxWJXKN6NGuJG8k079v5+LKbkFUGqaMuBrVrXOLc9K2XJb0HBawsdQRtzPAkog0eKjOxczNrErkHo2tGAYkiqLJVfNvSbMS827cFidzihH3YRxI5hh9JIqZU2AzXEdgMZxjdhleWOoI2GTwrx3QkmcuLfJrulgmpNLvLVCvAtKc0OdF929iSyL2WRGPen46lKYCiIIq6oIKVpY6gTQaPUkljzhnXo9ld7tLcmkTuncc0O6lUaZ+ZRGmJilyaH7kBrjQhahcSaHysVLAZriNQZvBs3boV//nPZGzdulUymQxT1+CVpY4g5OeWe1wa20XsUv59IAzrFk4HAGzevBnnE9LRZ9CIcq+59YimNBnVbm09olz2AqKNmID+NKXqfjtL4+d+p48TiVy/TvYkcqlgZVlF/HdEu3IfjzQZih+uHVQdvzV6KHq9Vv41c7drrgaTtn+P2vHmP/cgLLv83c2JvZ00ygWAGyfDEX/1LFp08kD7fkM0jvck8tVRpTvOGuhMIldOZIb/9l5PErkJqTTtNahCqKhgZakj9HptOAAg+uLfcOvWR3VcWeo7dsLTYkq4vmMnSeTeOBmOnV/NBQBcPrwTAEQpTIapqegJNaFEcQ2mqGGZ15fS18xcNqqDqHGH9uzExciT6NarHwb6jdY4/l8bz2kc82jLArxIfBkXatysAxpPWF7uNctHi5tvRXmTqGEZ1cqnuQ1NDvc9omgDa1OaAh3GBEH/dv8fGUGh1mrtyjI0NBS//fYbLl68iMzMTLi4uOCTTz7Bm2++qTbuf//7H7788kskJiaiXbt2+PLLL+Hj4yP5fHZ80FtymWKLD/SZOQWYOUXam2uRcbT9Ik39zQcZNMH5z17QhLZQ5bLvvJRMIpeqyEWSnEa5U1FrleWaNWvQokULrF27Fra2tggPD8eECROQmpqK6dMLNzy2bt2KqVOnIigoCH379sXPP/+MYcOG4cKFC2jfvr2k8zl8U/pUv/HdaVZUYtAm4+gN92aiZP99IAw3LvyN9t37aNyMAoCULJoCEnFZNHGWVKbc0A40hVWeSvyjsaKU+GCpmtn1CZRETKnUWmW5Z88e2Nq+3FAYMGAAHjx4gDVr1qiUZVBQECZOnIhFixYBALy8vHD58mWsWLECv//+e7XMu6agze69GP4+EIZvFxW+P8d2bwMAUQpTDBeP7sWty2fg0qU3ug0YJolMpu5Qa5VlcUVZRJcuXbBjxw4AQFxcHG7fvo1vvvlG9bi+vj7GjRundk4qereSfif4LlFZq6/9O2scc8pqONYU2zia4j8cnoPLv+7jbVc0yn119/7n0D3Y/bT83XsxPW1un4nAoe8+AwCc3b8dDzJz4Nz79XKv6dmigUa52tC+lBJlUtC1OU1pPaqVe3E6OViT36Oy1FplWRqRkZFwdi4MB4mJiQEAuLqqN09q27Yt0tPT8eTJEzRsKF315pl/XpFMVhHXEmk2IBqI6pXjilZvfIqsu5dh2aoL/hZc8Xd4TLlXiHHom7fsrLZ7b96ys8br9oooKpx26oTaceSpE7htXn5kAFVcqFsTmp5Bo7vRtDAeXgXxkPlE2WhSUmeU5ZEjR/DXX39h8+bNAAC5XA4AsLa2Vhsnk8lUj4tRlnpELRhqAradBsC20wBJZVq28wYAKOKvwLRFZ9VxZdGrZ1TucWVIu3oUWXGXYdmyC2wkfj0Y3aFOKMuEhARMmDABI0aMwKRJk6plDtunSr8bfvEezcon7glNEHKy2F3rCtan/PrwHY1jtPGxdnfSbIbfOROBC6GFIVOpFyPQqqE52mgw7xPSaF7fi/fkJHKlXg6Ulrlz/FaKxHeRnlqvLNPT0zF48GA4Ojrijz/+UJ0vWkFmZmaqrS6LVpxFj2tCUzxX0crzYJT0NRezntOEtlDJ/Z0oHc9cRH/vgtZd1Mx769ZdNF4nJjMo7fQr5v3pE7htUb55b2JIEzpE1RAuMV3aEJ/SlOWIzk0lvQcFtVpZKhQKDBs2DLm5udi7dy9MTV8GAxf5KmNiYuDo+DLsJSYmBg0aNJDUX8lUP1bt+wMAnsZfgXmLzqrjykJp3jO6Ra1Vlvn5+Rg3bhzu3LmDM2fOoFEj9TJTLVu2hLOzM0JDQzFo0CAAgFKpRGhoKAYPHiz5fF4rpZR+ZXmeR1OSK+2ZNGFAr/LtUc3msjY0tBAXNN2w1+tAr/JN5OKIiS/UpmhzUxlN/U2qgiIUmTav8k8NKNdWa5XltGnTEB4ejm+++QZpaWlIS0tTPdalSxcYGxsjKCgIb731FpycnNCnTx/88ssvuHPnDrZs2SL5fGJTpA/zoaoHmE6kLKl6+7wg6sIoCi0ymR4TheL4ELWVcCB634rjLsI/XN3UWmV58GChf+qjj0o25YiPj4eTkxPefPNNPH36FCtXrsSSJUvQrl077N27V/LsHYDmC+JIlGPsQLTyySCqtkO1whbzA6dNJtOpudK4AF7Fsj5NDrc+0Yq1OHckbrdLQa1VlgkJCaLG/ec//8F//vMf2skwtRbunVR3qLXKUtfo01r6DJ7Np+MllwlI3/q0iIeZNOanRf1q/BhrYYa/G3yBZCpUbo4WDc0llVdandBdl2mKgEgJK8sajIyodFZLWzMSuWYiQny0IZ4oLlQM2pjhN5JpQnxuE/Uiunhf2vjN0pTl5r9pfvilhJUlw1QCSjM8O+o4FAlXYOrUGRYSZTIx2sPKsgbTqpG05lERT57S7IabEEQEAMCV+xkkckWhhRneQUQhjcQLh3An7EsAQNbVg2jWwBTNug8s95o4osIqWTn0LWtrQglyVpZVREq29P66jkSVWqSuX1iEuAIdFSeHqP/0wWjNNUhlXQfjUTEzXNZ1sMa4RDFpiWkXz6gd37x4BimN3Mu9pgWR+2RkZ/pCGlI1L/tKEimlw8qSYSpBTSz8wWgHK8sqQr8GVSeiitd7AJrdcGOiXOu2YkupNRkOQHyDuSuJGRrHaOML7dXSRvQcKsI/Ehfo2Pn/0RbP814mE1C1X5YSVpZVhC1BH5NjRJVacnJpgrypqu1QBdFHP6DZtRaFFr7QvyVqzfAq99KkLaRx6k7hPKmiOaigT/pkGKbCvBqCJCYkiaGFV5ZVBEWhgP4ujTQP0oLDIjY2tKG/C00lJ6qd1GcvaFbYYkqpaWOGU7lPqOJune0sJJd5RXKJL2FlWUU4EX3gKDhE0IkSoNutHUfUTmGoiN4+2vC/U3GaB2lhht8myq/u50zzI3fi9hMSuVSwsqwiwkUUkq0orYniLBsS9YnOyqEppLHh+F0SuRTti8WiTWZQy4Y0P0YfVLByvVj+93b5oVDaoLdUcpEq2GfJMDoIF+jQPXhlWUW83ctJcplU9SwtTWh8Xw8zRfbgqSBUXRifEUUFiKFAkVHucWnk5dM4b6kKfxTUgI6OxWFlWYOhaqlKVXfyEZGytCHKDKIqKvwk+4XGMQZm1shPS1Q71oQ+kZ0odc+g9/oW9oFXFPsxoqqiLyWsLBlGB9HGZ1lTmOzZssQ5VpY6QnJyMlxcXPDs2TNkZ2fD3LxwY0QQBCxfvhwbNmxAamoqunfvjnXr1qFz586SzyEhVfqAbKoddnvr+iRy5UQrVirErACp0MZnSWURGBrQb2285SHNj0GQJFJKp04oyzlz5sDc3BzPnqkrrBUrVmDJkiVYtWoVXF1dsWbNGvj6+uLGjRto3FjaBmMUio0q00ZBJLedPY3bgCpkhsoMPyfGx6pF6JCSKOA0t4C+x1HEDelbRUtNrd8NP3nyJCIiIvDJJ5+onX/+/DlWrFiBBQsWICAgAL6+vggNDYWenh7Wr19fTbNlmEI4g0f3qNUry4KCAkyfPh2LFy+GtbW12mNnzpxBVlYW3njjDdU5MzMz+Pn5Yf/+/Vi6lDBgSyKeEZUmc7KhMe/DrtC0DqDIuweA5Ayawh9i0MYMNyJqWTu2WzMSucXZNa2PJHKafCqJmFKp1cryhx9+wIsXL/Dhhx/ijz/+UHssJiYGBgYGaNOmjdr5tm3bIiQkRPK5UPi/xPbLriipT2l8dY5ESvjoTZqCIlQta0WhhRlOFR0hpv5mZZny2z/k96gstVZZpqWlYdGiRfj9999haFgyblAul8Pc3BwGBuphETKZDAqFArm5uTAy0hySoiey9BqFYqPyWR6NoVE+VGW4kjJoQpIKlNXXj1yb3fCcPHHzTTh3EI9jLsDOtTucer6mcfz1pAxRciuDOVF/JinR/RlqyWeffQYPDw8MGTKkuqfCMBVGyM8t91hbEs4dxJmNiwEAd0/vAQBRCpOppcoyKioKmzdvxsmTJ5GRkQEAUCgKa/JlZmbCwMAAMpkMT58+RUFBgdrqUi6Xw9TUVNSqEigMPyqPopXnubg0LZ5J+fQkKvb6entpIwGKaGxJE5JEtctOlXsffl3zzm/0iwHYfe2g6njAgAFw69G83Gu2nr+vUe6jA6FqxxcPhCLZpmu51zQicvcUh6qViZTUSmV5584d5OXloVevXiUec3BwwHvvvYcJEyagoKAAsbGxcHFxUT0eExMDV1dXyedEodiofEliKnlrQxqRL/QyUcOyv4h6WceLKaZr3QXNxszH07grMG/ZGfHWXRAvRTEWLXyhA93sKn/fWkCtVJZ9+/bFsWPH1M5FRERg5cqVCA8PR8uWLeHo6AhLS0uEhoZi4cKFAApXn3v27MGUKVOqY9oMo4Z1h/6w7tBfUpm1OTOImlqpLG1tbeHt7a12LiEhAQDg6empyuCZP38+lixZAplMpgpKVyqVmD59ehXPWDuaWNGYtfkFNGZtClFGDFVBhhtEbSUcG5iSyL2enKlxjDYhSVKXqls2qkOJc9WZLSWWWqksxTJ//nwolUosX74caWlpcHd3x6FDh2BnJ73Z8YzAJ2NvTdN75n66tD1XihBTIVwbYoh22a8R7QLXJ2qwJgotzPCnz+n9iVLF9p6VRErp1PoMniImTZoEQRBUq0qgcPPls88+Q1JSEnJycnDq1Cl06dKlGmfJMLRwZpD21OmVZVWSTBALSNHDBACaEq1YPdvYkshtJqMxa02MaFaAVRHkXRa6lBlUnEfVmQAgElaWVcTaQ7cll7nhrW6SywQAGVF9SIqmbQDgZEOjLFs2dCKRS5VMcCJbRE8bLczw/Coo0pvCypIpgkKxRT3Q7NDXhjuPn5LIpfLV/XkxiURuKtGmw6X71bey1GY3nCr3vjiebaRpihYtiZTSqTM+S4ZhuLdPZeCVZRVxQ0RYR0Vp39RKcpkA0JwotCW/gMaca0DkNthxiSYoPZ8o5/xsHE2dTBeJfeNTf7sIAHAs5j5xJHKlSAkryyqCQrFlKKTJF34VqtSzaKK4RapixaZEGzxUJfDEKEttzHA50eeMqlgxFWyGM0wdgs1w7eGVZQ2Gqu0B1UZMzxY0hT/uptJsSCXKaYLzT9wWsWtNhDYtdsVkBmlDLtHnlwoyZXnq1Cmkp6djxIgRAIDU1FTMmDED0dHR8PHxwYoVK0qtM8mIx7I+zeunIKrAfoNo9z6eoBkcAPwdm0oil6qupxi0abFrR1QtisLNcVdyiS8hM8Pnzp2LGzduqI4/+ugjHDlyBB4eHggODkZgYCDVrRmGKQPO4NEespXlrVu3VApRoVBg165d2Lx5M/z9/dG9e3d88cUX+OKLL6hur3OEXEjUPKiCeLtIE5v2KlQridaNaBz6HR1oogJO36FZWVJFMUTe1VwzVRufZadm1tpOqVz0xTUZqBDh0otUQaYsc3NzUb9+4Zfu77//Rn5+PoYOHQoAcHZ2xsOHEtTmq0H0c5Y+1Y9Kqd1LozFrD0VLW72mCKoME6r+6Y/u16zePlRtJR5l6n7WTnHIlKWrqysiIiLg7e2NP/74A7169YKFRWG81oMHD9CgQQOqWzMMUwa6UM/yyGzvEufaLY6o8nlUFDJluXjxYowbNw6bNm1CZmYmwsLCVI9FRETUueo+KVnSp841saIpeFHPgMaV3Zao++Bpoo2YLKLSZElEu+xi0MYMv/uExtIoTncnaRZPlOmOZMpy+PDhuHnzJi5fvowOHTrA2dlZ9VivXr3QsWNHqlvrJBR+H6rg8bgnNKE4l4iq7XQg8gFu/jueRG6rhjS9fVKf0mTwDO9kr9V8KoK/hv5CYvlFEimlQxpn2bJlS7Rs2bLE+apq25Cfn4/Vq1dj06ZNuH//Pho2bIhx48Zh7dq1qjGCIGD58uXYsGEDUlNT0b17d6xbtw6dO3eukjlWBqoMCDOitqQJYnrPaAFV616q+VrUr77wZm3McKpMseKcuUtjHUgJ6bv2/PlznDx5EklJSXj+XN2Zq6enhw8++IDy9pg0aRKOHj2KwMBAuLq6IjExEdHR6gv1FStWYMmSJVi1apWqtYSvry9u3LiBxo1puhwyTHVBmcETf+4gHt28gMZtu6NFLWyvS6YsT58+jTFjxuDJk9KzFaiVZUREBEJCQnD16lW4ubmVOub58+dYsWIFFixYgICAAACFLgInJyesX78eS5culWw+83Zck0xWESvH0LgyqFrAju3mQCI3m8i3SBWcH3wmgURuklxEgWktzHAx7UDSrx1DfOhyAEDs6T1IzshBg47im60dv1V9WU1iIVOWM2bMQMuWLXHw4EG4ublVebbO5s2bC3stl6EoAeDMmTPIysrCG2+8oTpnZmYGPz8/7N+/X1JlSaHYqJo8UZn35kTmPVXo0AOC6vYAXdziwwzNoTj6PYchvpgZbt9zGGw01Kt8IqKFcdqti+rX3LoIZcs+Gq9TzYsg5lJqyDJ4bt26haCgIHTq1Kla0hrPnTsHZ2dnBAQEwNLSEqamphg9ejQePHigGhMTEwMDAwO0adNG7dq2bdsiJiamqqfMMOTYdByAFuMWwLbb62gxbgFsOg6QRK5ePaNyj2sDZCvLjh074tGjR1TiNfLo0SMEBwejU6dO2LZtG7KzszF37lyMGjUKZ8+ehZ6eHuRyOczNzWFgoJ6jKpPJoFAokJubCyOj8t90Pb3q+0k0M6YpeHGbqFJ6mogVijaIMj+1gKoSPZVFoC9y6dOw8wA07CyNkiyisr5Q/Wr8HomFTFlu2LABkyZNgpOTE7y8vKhuUyaCIEAQBISFhcHGprDaTZMmTeDl5YWjR4/Cx8enSucz6OuTksuk8lk2tKBpI9CZyPy8T7Rr7UcUMrPvOk32mlSxiq/ylZj+UVr4Qoszw6eN5kEiOCaJlNIhU5YDBw6EQqHAgAEDYGRkpMreKU5KCk3IB1C4OmzZsqVKUQJA3759YWRkpKp8JJPJ8PTpUxQUFKitLuVyOUxNTTWuKoFCpVwe1bnyZJiqQhcyg6ghU5YffvhhtSqKtm3blghXAgqVm/7/2yuurq4oKChAbGwsXFxcVGNiYmLg6uoq6Xz2BPSVVB5A16KUylymaK0B0LQZBoC9Vx9oHqQFUUQV4x9k0rwOYqisGT7rzysSzoYGMmUZFBREJVoUw4YNQ2BgIFJTU2FrW1jE4uTJk8jLy0OnTp0AAL1794alpSVCQ0OxcOFCAIUVkvbs2SN54Pyc7VcllQcAZkY0b9+UfiUTCaQg63keidxB7WjiYS/fzyCRa21Ks/lBFRWw9fx9zYMqaYZr2pEXC03OVSHkqQS5ubm4fv060tPT0aBBA3To0EGUeVtZpkyZgnXr1sHPzw+ffvopsrOzMW/ePPj6+qJv38JVXv369TF//nwsWbIEMplMFZSuVCoxffp0Sefzjb/0ufDyZzSZFfUMaCwCQ6KVMFVrWaomWrEpNBtoT4k+D2KorBmelUPzQyolpMryyy+/xPLly5GVlaXy7VlZWeHTTz/FnDlzKG8NS0tLHD16FDNmzIC/vz+MjIwwYsQItVRHAJg/fz6USiWWL1+OtLQ0uLu749ChQ7CzsyOdH8PUJupCbx8yZfn1119jwYIFmDp1KsaPHw87Ozs8fvwYISEhWLBgAYyNjTFjxgyq2wMAWrdujfDw8suB6unp4bPPPsNnn31GOpcvI6SP25z7urR+1SJ+OhlHIrd9U5qqQxbGNHG8VF0NqXysV4jcBmLQprdPcbo5yiSZh4h9e60hU5bfffcd5s+fj2XLlqnOubi4oF+/frC2tsa6devIlaUuMaGnNFVVqoIX+TStZal6zxC56kDVqTW/gKZRF1XrXjFo09unOFSbf1JClsGTmJiI/v1Lzw319vZGUlIS1a0Zhqli6kJvH7KVZfPmzXHw4EH4+vqWeOzQoUNo3rzmrLSk4IGIvN2K4iCj2YAY796MRO5jggLIAPCMqODFvms0weNU9Ted7UrGMkvB98c190ysiM/y68OFxrJtsR3wpjJpCllf1zxEa0gLacyYMQPp6ekYO3Ys7OzskJKSgtDQUAQHB+Obb76hurVO0qOF9NkVVL6vh0RyzYnqON5/RJPBY2tOE7VxL51mvmIalpFRgdChrw/fAQC85vZyE7UZ0Q+/lJApy4CAABgbG+Pzzz/H5s2boaenB0EQYG9vjx9++AGTJ0+mujXDMFUMZ/BoSV5eHs6fP4+hQ4di8uTJSEpKwsOHD9GkSRM4ODjUyRTAlGzpzfCm1jQ9eKi485hmg4eqniVVLyKqQhpUQeli0CZ0KDKuGlfCWkCiLA0MDDBgwADs378f9vb2aNasGZo1o/GD1RQaWdC0VaWAquitpQlNiI9v20Ykck2JMqTc7GlCqIyJgv4n/O+c5kFaZPCM6tJUq/mUxw3JJb6E5NOgr6+PNm3aVGuJtrpApoIm64EqZOYuUebKjVyaUKedl5NJ5FKFUFFlSIlBGzO8HdGPBhVkr+6yZcvw3//+F9evU+5PMQyjC3AGTyVYunQp0tLS0LlzZzRt2hR2dnYlfJXnz5+nun2dIF9JE9ycTpRjTCWXygWeTVT4o6MDTejQP0SthkWhhRm+7kgsyVSoIFOW7du3R/v27anEM6Db2Eh7SqPUqHyWl4kKafRoYaN5kBakEpXAa9uExqwVk11TETP8Y9/CQr8OxWIrt1/U/SQVMmX5888/U4lmGEbHqIgZ/rGvc4lzdVpZMvTYErV/6OpoTSI34gbNhh9VEeSzd9NJ5IrtlVNRKLLExFLZQhpn42heaykhU5bF28uWxZ9//kl1+zqBqSFN4QT/n86SyG1IlBEzrCNNr5w3e9Ck5C4OiyKRa29NIlZUA7vKFtIwIfosSwmZsnzypGTTdLlcjpiYGNjY2Ki1cWAYpmbDGTyV4Nix0vusJSYmYtSoUZg5cybVrXUSir42s/+UvlUFADSTqKjBq1C1q+jSXJpaiK/yKJPGrF02imbjc+v5RM2DtEDMyrKyoUNSZaNJXzX2JVXus2zWrBkWLFiAuXPnws/Pj/Re27Ztw5dffonbt2/DysoKPj4+WLFiBeztX5ptgiBg+fLl2LBhA1JTU9G9e3esW7cOnTt3lnQuc3dck1QeAIwkyIAAABsic5mqxS4V3x2jCW15+oImimEXURC9KCrZg8ejlTSFZo5IIqV0qiXk38DAgLye5e7du/Hmm2+id+/eCAsLw8qVK3Hy5EkMHToUymLxiStWrMCSJUswb9487NmzB+bm5vD19eXsI4apAJT1LKNOhWPvd4GIOlV+1wNqyFaW0dHRJc7l5ubi5s2bWLRoEbp37051awDAli1b0LVrV6xfv151ztLSEiNGjMCtW7dUrXJXrFiBBQsWICAgAADQq1cvODk5Yf369Vi6dKlk81k41E0yWUVQVca2s6TJY6coJgIAz4hWaov9pH/PALo6mW950PgJx2w4o3GMkJ9b7rEmujuVvrI8uf8v/LVmPgDg6uFdaGlrjn6DR1ZItlSQBqWXVl1IEAS4u7tj48aNVLcGUFj5yMpKPVPC2tpaNQcAOHPmDLKystR27s3MzODn54f9+/dLqixb2JpJJqsIKnPuNlF1IKpMm2Q5Tf1NqteBqsVuGFGf896tNAfnJ/Tog8hrB1XHHXr0gZOI64r4aNuVUs+n7d+tdvzTtt3YkekkWq6UVOkGT/369eHg4ICmTWl8bcV59913MXLkSPz6668YOXIkHj16hIULF2LAgAFwcytcMcTExMDAwABt2rRRu7Zt27YICQmRdD7P86Qv9mBuTPP2OdlIr9gBur7hKUQV2KleB6q+4efjaWIVk+SaixV36DcEJoYGSI6+gKZu3dG61yBJ7q1Xz6jc46qETFl6eXlRiRbF0KFDERwcjPfeew8TJ04EAPTu3Ru7d7/8pZLL5TA3N4eBgbo5K5PJoFAokJubq7HHeV2szckwpdG61yDJlGQRulSgg3Q3/MWLF9i8eTP++ecfJCYm4rvvvkObNm0QEhKCjh07om3btmT3PnbsGKZOnYqPPvoIgwcPxuPHjxEUFIRRo0bh8OHDJRQkNfVrQNBtEVQZMVQr4VYNzUnkUhXSoCrSKyNasVKV1hNDZTODpIRMWd6+fRsDBw5EZmYmunXrhuPHjyM7u9AHdOrUKezbtw+//vor1e0xe/ZsDB8+HCtXrlSd69y5M1xdXREWFobRo0dDJpPh6dOnKCgoUFOecrkcpqamGleVwEv/Z1kUrTwpiidQfTkM9GlWyw+J4hbvE/W0sbOkCXVSENXfvJf2jERudVY0r2xmkJSQhQ7NmDEDzZs3R0JCAg4cOKCmVLy8vHD69GmqWwMo9Ee+Givp4uICExMT3L1b2K3O1dUVBQUFiI2NLXGtq6sr6fwYhtGMLrXYJVtZnjp1CqGhobC2tkZBgfovqZ2dHR4+pAmfKMLR0RGXLl1SO3fz5k3k5OTAyckJQKEP09LSEqGhoVi4cCEAQKFQYM+ePZgyZYqk8yne9lMq9t+geQ3zCmjMxKDdNDnRTjY0nQFzCDblAECfyM99L41mhW1tSlNaTwx1wmdZv3595OSUHtKRnJysCuOhYurUqZg5cybs7e1VPsv//ve/cHJywpAhQ1RznD9/PpYsWQKZTAZXV1esWbMGSqUS06dPl3Q+287fl1QeAHRqZi25TAAwI+o9c2nRQBK5cqKiwhcSaHaXr4moD6kNCak0ZjhVCJUoKpkZJCVkynLgwIH44osv4OvrC3PzQge8np4eXrx4gW+//ValsKiYMWMGjIyMsGHDBvzwww+wtrZG3759sXz5cpiZvQwJmT9/PpRKJZYvX460tDS4u7vj0KFDsLOzK0c6wzBVgS4V6NATNO1QaEliYiL69OmDnJwcDBw4ECEhIRg+fDiioqKQm5uLs2fPonHjxhS31imKNnieEuysmhHtLhcQ7dZm5tDsLlPxlKgSfVIGjbl88yHNCvBw9GNJ5W2d4lHinNP8faWOfbRlAV4kvlSWxs06oPGE5WXKvrdyGADNG6/aQLaybNasGa5evYo1a9bgyJEjaNWqFR4+fIhx48Zh1qxZsLGhKdmvq1D0iqZSllS9fYh+l/E8n2a+YoKxtSH2CU0oDlXXyOQMaTOk+n1ZmLAiKoqhLpjhQGFw95IlS7BkyRLK29QIGlvVnL7hVOmDVCtLqowYqi9mAzOa+doSVYtyICrZJ0ZZ6pIZLqmyHDBggOixenp6OHKEsqASwzA1nVq7Gy7GtH748CHOnDlT59IElQQmaC6R+dmSKCOGateaqssllc+SqiVwLFGmDVVIkhhqbQZPaGhomY/dv38fK1euxN69e2Fra1vnKqVnKKQ3Qe0lqi79KlRK7XJiBolciiIlAF1aYtwTmhCfOKLQIUUuzY+GGOpEBk8RsbGxeO+999CmTRvs3r0by5cvx71797BgwQLqWzMMU8OpExk8UVFRWLZsGUJDQ9GsWTN88803ePfdd0XlW9dGHki8owjQrSypzNpmDWjmm0iUGx6fSiP3n3tyErlUGzxUxaD/jk3VOKbW+iwB4OLFi1i2bBnCwsLQpk0bbNy4EW+99VaVV/nRNdzLqARdGSiaoAHAlaQMErlUoThUjcWozHuL+jRrFEOiAihURaZFUVtDhwYPHoyDBw+iQ4cO2LZtG8aNGyeleIZhagE7p/Upca6soPRaGzp04MABAEBSUhI+/PBDfPjhh+WOT0lJkfL2dY7UpzQbMVRdAvOIdu+pSp7VM6BZxlwkMsNd7CxI5GZX48qy1prhgYGBUoqrVcQRZG1Q1Vv8eRJNMzkKvy1Ap3yo6mR2aGqleZAWUIUO3XyURSJXFLXVDGdlyTCMlNRaM5wpG4pAb6p4SKoNkxii3OXQfxI1D9ICqrjFZg1o6m8+JFq5W5twPUuAlWWVMf7HSOlldm8muUwA6NpcRiJ3gGsjErltGtFkHOUW0PhYqXoR/XmB5kfj93PVp6BqrRnOlE3wOz0kl0nVK4eqYRlVVZwHmTQrKqr4zUtEfcNTCSpbAYAz0caRGHTJDCfP4GEYhtEWNsMrSWxsLFatWoXIyEhERUXB09MTx48fVxsjCAKWL1+ODRs2IDU1Fd27d8e6detKNDGLjo7G9OnTERkZCWtra0yePBmBgYGSB9EHEvSf+bcHza+snRXNLrtLY5oVClWQdz5RL6KCApp2FRlEJfA8WkifUCGWWltIo6qIiopCeHg4PDw8kJdX+gdkxYoVWLJkCVatWqXqrePr64sbN26oKrTL5XL4+vrCzc0NYWFhuHv3LmbPng2lUomlS5dKOufPhkrfI92KyPF+l6g4bYaCxgx/nEWzIUUltwVZn3OaeMijMdLGQy8c5iZ6bJ0qpEGBn58fEhMTERoainbt2pV4/Pnz51ixYgUWLFiAgIAA+Pr6IjQ0FHp6eli/fr1q3A8//ICcnBzs3LkTAwcOxNSpUxEYGIg1a9YgK6saY8sYhgFQRwppUKKvX76OP3PmDLKysvDGG2+ozpmZmcHPzw/79+9XrRr379+PQYMGwdLSUjXO398f8+bNw4kTJ+Dn5yfZnN/edE4yWUUM7tBEcpkAMNWrFYnc+0R1EZsTheIY16OpZ0DVCjfL1kzzoBoG+yyJiYmJgYGBAdq0aaN2vm3btggJCVEb92p19+bNm8PU1BQxMTGSKssp/aRXQF2aW0sukxKq3j5RD2isgHiiOEuqqACqdhXmRD5hTXRPlOGdJ9+iPVogCUn4Ht9jO65Vy1yAWqos5XI5zM3NS2zSyGQyKBQK5ObmwsjICHK5vNT+5TKZDHK5uBS6ulbxnWGqAp/YRvhppzsMhMLvV3M0R2/0Rru8LfixmuZUK5WlLjK0o/QmM5VZS1WSi6qdAlVcaBbR7jJVgY76hjSvw+3HNCvhMhGABcfawkDQQz7ycRRH4QEPWMISsx6NxfZnJ5BmRvNZKo9aqSxlMhmePn2KgoICtdWlXC6HqampqgCxTCZDZmZmievlcjlkMnFZLJrau1KuPK1MaXbDqVrWUhUrtqhP8zrUIwr6v0wUlB71oORnWQqevaCp6lQWdk+N0Tq9MGLgG4vf8En2uxiDMdiO7TCGEdyTGuCAy6MqnRNQS5Wlq6srCgoKEBsbCxcXF9X5mJgYuLq6qo2LiYlRuzYxMREKhUJtnBR8EX5TUnkAMLprU8llAoCZEc3HgqoVbnuiKj5UGTxUmVeWRKFkrYnSScvieT0llBCgDz2012sPC1igC7qoHs8xrJ6ScTUydEgTvXv3hqWlpVoDNYVCgT179mDw4MGqc4MHD8aBAweQnf3SzAgJCYGJiQm8vLyqdM4MwxSSaZKH4y2fAAAGZXVHFrLwGT4DADzUf4JIx7RqmVeNXFkqFAqEh4cDAJKTk5GVlYXt27cDAIYMGQJTU1PMnz8fS5YsgUwmUwWlK5VKTJ8+XSVn6tSpWLduHUaPHo158+YhLi4OQUFBmDVrllo4kRR8OkT6oPTdVx9ILhMAjAxofkPb2Uv7mhax61ISidzP/rpBIvf19o1J5FLV9axvKG0I1a+RCQDK92Eveu0GWm/1QPPMl2Fh2cjGv80DkGfwtqTzEYueQOWgIiQhIQEtWrQo9bH4+Hg4OTlBEAR88cUX2LBhA9LS0uDu7o5169ahS5cuauOjo6MREBCglu4YFBQkWbpjkc/yOkFfG6p4PZkZjTnXxIrGZ0lRWBkA8ojSHal6+5y5S7Pi+vboHRK5mirc18/TR7/gM3BLt0EiEvEbfkNW88Zo/ObyMq+5t3IYABq/e41UljUJVpYvYWVZCCvLQsS0A0k/9AOyL+1VHVt0HYYGA6eWOZ5SWdZIM7wmQrUJQUGBkkZJZChowj3kCpqNo6znNHKp2mvEp9L8aFBFMYhpg8EZPHWQZfuk3w2nKM4BACdu0zSSe5RJU2/RtQlNNaN7RBk8aUTxplQryyyiAh2i0KHiv7VyN5xhmNoBF9Kog1CsAnOIWsD2bmVLIldOZIanZNGsWN2daOo4Uq0sqTKvqHonRYpYCbMZXgehaC4mIyqcQPWlq6ehWpS2vCDqR37pPk0ozt+xqSRy7xGlv1K1BBaFDpnhrCyrCKovNAVUDbWoAi8aWdBUdu/bmmaF3Yqo+O/2izQNy55J/OM5pV9LAEBOsaiArw+XvuOuSz14WFkyDFOlvF9KvdSylCWb4XUQonRgEqhyuJPkNOZckpwmFIfqdbgQT9ODR0wojjbkEMWFioF78NRBGlnWl1xmLpFpH5tC49Cn+jJTFdO9QzTfFKKWtQlEPstmMpo4SzFwDx6GYRgRcOhQHeQOQQHVNnY0wdiNidISqTa5qDJ47j6hCUqXesOkiMYE1gtA544QA/ss6yAUii3iBk0B1GyiND+qiuZURXo929DshlPVyZzqTdNobsneaBK5otCh0CE2wxmG0VnYDK+DUGTbUNVFfEK0AXE/ncasjSbq7mhIVNezgwNNUZXNp+NJ5NoRmfdiYDO8DkKhgJrb0PTLpqo6lJlD46ujiDQAgEeZz0nkUvluLYha1ubkVWNCBZvhlSM2Nhbvv/8+OnbsCAMDA3h7e6s9/vDhQ8yZMwedOnWCubk5mjVrhokTJ+LBg5KVxZOTkzFq1ChYWFjA1tYWAQEBUCiqMb2LYRgVbIZXkqioKISHh8PDwwN5eSU3Iy5evIhdu3Zh8uTJ6NmzJx4/foygoCD07t0bN27cgLl5YbpZXl4eBg0aBCMjI2zbtg0ZGRmYNWsWMjIy8Pvvv0s6Z4pVYCbRLnBeAc1KwpFoJWxvTbOyTH9a9e1WK8PVJJrujteTaeSKgc3wSuLn54cRI0YAAMaOHYvUVPXCBH379kVMTAzq1Xv59Lp27QoXFxfs2LEDEydOBABs374dN2/eRGxsrKpNhaGhIfz9/REYGIg2bdpINueHmdJnmVBVHlfk0ZjLtx7R+CypvszpRFWSopJpfKwUnzEAcCEKUROFDpnhNVJZ6muoXmNtbV3inLOzM0xNTdVM8f3796N79+5q/XxGjhwJIyMjRERESKosKRTb4ywan9pjopJnVMrH1EjahlpF6OnRVHXq1Yqm9NvZOJo0SqqK8WLQpUIaNdJnqQ3Xrl2DQqGAs7Oz6tyrfcQBwMjICK1atSrRT5xhmKqHzfAqRqlU4qOPPkKbNm0wfPhw1Xm5XF7qKlQmk0EuF1fLUE9k07CfTsaJGlcRikpdSQ1VK1yqkCSq0CGqepbWJjQN4To3syaReyyGps2IGLiQRhWzYMECREZG4sSJEzA0pPmgaoJCsVF1CbyQQGPOUbURdWlM41NLIOrB081RRiKX6n0zJwpJEgMX0qhCvv/+e6xatQq//PILevbsqfaYTCZDZmbJzQG5XA6ZTNwHWhCEcv8YhtEeDh2qInbs2IHp06fjyy+/xPjx40s87urqWsI3mZubi7i4OEydWnZvYm3463KypPIAYGSXppLLBOgyTMKv0+SyJxPVyaR6fbecv08it529JYlcMb1yqGCfZRVw/Phx/Otf/8L06dPxySeflDpm8ODB2LJlC+7duwdHx8JfrN27d+PFixd4/fXXJZ1Pf9dGksqriTg2oImzNCQqpEFV8IKqrcQ1ojhLqTO6Bq45AUBkvVAOHaocCoUC4eHhAAozcLKysrB9+3YAwJAhQ3Dv3j2MHDkSrq6uGD9+PM6ePau6tmHDhmjVqrA6y9ixY7Fs2TKMHj0aS5YsQWZmJmbOnIkJEyZIGjbEMIx26FLoUI1UlikpKRg3bpzauaLj+Ph4nDt3DpmZmbh69Sp69+6tNm7ixIkIDg4GUBiAHhERgYCAALzxxhswNjaGv78/Vq1aJf2cCWIirYh2VQ1E7vBXFFNjmnjIekS794ZEJeWo2mtQrVipNhLFrCx1yQzXE3gXgpSi0KKbD6U3kWSmNEHTVFVmqMxaqvTMiCgaH2uHpjQ+YQMid8QNooyjL8JvahzzaOsCtZWlcfMOaPzm8jLH31s5DABNJ9EaubKsibg2lt75/g9RqMjeaw9J5FL0TgcAooUwWUvgk7dp+obvv0Hzvr3ZozmJXDHokhle60OHGIapueiSGc4ryyriPkHnva7NaYKb3Z1ocpepoGqD8ZSoV04KUe59u6Y0oUMX79FkMomBM3jqIMvCpe9j8k6fFpoHaQFVKTWqKklUrXAziErgpRG5Iy7eo3HLWBP5xsWgSxk8rCwZhqlSPh3SVu1fAHCav6/Usbrks2RlWUWsHtdJcpkW9WlChyj6BQE07YABwN6aZsXahEjuJSKzlqol8D6JN/yKK0lNsM+yDiK2OlFFoNpdlpnRmF35RL19col62mQQ9cvOJwp1amRhTCK3JVH8pih0KIOHd8MZhtFZuJBGHeTmQ+kDe7vXsF1re6INHioeEnV3bEG0UmtD1P5BXy9R8yAi2Ayvg1CYilTmHFX64IsCGl/o40yaUJxEorTELCLzPklO04Ona3NrErmiYDOcYRhGM2yG10Eu38+QXKaTrZnkMgGgKdEucDrRhhRV47ZmMpp40xcWNCtsqXeti0iRuB3IqK4OoseyGV4HCRjQWnKZVJkrVCE+MUTB41TKfd2ROyRyU5/SuA2ogvMfEf0YiYEzeOogL/KlX00YEvkWqTYKfjtLsypIJvLV9W5lSyL371iaQhr9XWl+NCisIrHoUgYP+ywZhtFZ2GdZB6FoL0sR6A7QmYlvedB80PWJXocMBVHQvylN5tUZol45DrLqC/lin2UliY2NxapVqxAZGYmoqCh4enri+PHjZY6fOXMmvv76a8yePRurV69Weyw6OhrTp09HZGQkrK2tMXnyZAQGBsLAQNqq3lk50lewsSL60n13LJZE7sc+ziRyryRlkMilqhivIEonfUL0I3ebyIctCh0KHaqRyjIqKgrh4eHw8PBAXl75mxzR0dHYtGkTLC1Llq+Sy+Xw9fWFm5sbwsLCcPfuXcyePRtKpRJLly6lmj7DMCLhQhqVxM/PDyNGjABQ2HQsNbVsh/n06dPx0Ucf4bfffivx2A8//ICcnBzs3LkTlpaWGDhwILKyshAUFIS5c+eWqmC1hWIVmElUOGFSbycSuanPaFY+lvVpPsZU9SwbWdLkcA/vZE8itzlRV04xsBleSfT1xfn/tm/fjpiYGOzevbtUZbl//34MGjRITSn6+/tj3rx5OHHiBPz8/CSb87k46f1JCQQFhQHg8M3HJHJnDaQxw6kKaXi2aUgid/vFJBK5A4jaLZ+Lp6mTKQodMsNr7W54Tk4OZs+ejRUrVsDMrPTg7ZiYGLi6uqqda968OUxNTRETE1MV02QYphx4N7wKWL58OZo0aYK33nqrzDFyuRzW1tYlzstkMsjl4moOit2R9iCK2atJbKzuCTA6wTf+2l+bfWkvsi/tlW4yFaBWKsv4+HisXr0ax44dIwuvYRimblErleX8+fMxePBguLi4ICMjAwCgVCrx4sULZGRkwMrKCnp6epDJZMjMLNnPWy6XQyYT1wyM264zTN2gVvosb926hZ07d0Imk6n+EhMTsX79eshkMiQnJwMAXF1dS/gmExMToVAoSvgyGYap29TKleXGjRvx9OlTtXP+/v7w8vLCBx98gIYNC3c5Bw8ejFWrViE7OxsWFoX50CEhITAxMYGXl1eVz5thGN2lRipLhUKB8PBwAEBycjKysrKwfft2AMCQIUPg7u5e4pr69eujWbNm8Pb2Vp2bOnUq1q1bh9GjR2PevHmIi4tDUFAQZs2aJWmMJcMwNZ8aqSxTUlIwbtw4tXNFx/Hx8XBychIlRyaT4ciRIwgICICfnx+sra0xc+ZMBAUFSTxjhmFqOnoC71AwDMNopFZu8DAMw0gNK0uGYRgR1HllGR0dDR8fH5iamsLe3h6LFy9GAVEXQoZhai41coNHKrhEG8MwYqnTyrIqS7QxDFOzqdNmeFkl2nJycnDixIlqnBnDMLpGnVaWXKKNYRix1GkzvCpLtDEMU3VQhI/X6ZUlwzCMWOr0yrIqSrQVrTzv3LlT7rg9e/Zg1qxZquM1a9ZobGtx8OBBjfP7559/8PPPP6uO33nnnVJz54szbdo0jXIBYOvWrThy5Ah8fHzw5ptvahx/+fJlUXIriq0tTWHlRo2I2jScO0cil+p1qFePRk2kpKRILtPT01NymUXUaWWpSyXaihRjZGQkevXqJVn/n1u3bpU41qQsxbB161ZMmDABALBp0yYAEKUwGaamUqeVZVWWaLtw4YLGMY0bN8aoUaNEjy8aq4kzZ86o/v+vf/1L43Xff/+9Rpl//PGH2vH69es1+nmLSuNp4vTp07hx4wbat2+Pvn37ahzftGlTUXIryv3790nkenh4kMjdsWMHiVyqH8Gi71xNoU4ry6os0dazZ09J5QGAiYmJxjETJkyAkZERTp48iX79+mHs2LEar3FwcNA4plevXmpKuFevXhqvS0rS3NWwuNvg6NGjyM7O1rgSFusyqShiXl9tMDIyIpEr9sezopTXaroy1LTN0TqtLOtKibaxY8eKUpIVoV+/fgCAq1evolOnTqrjykLlNmCYylKnlSUAuLm54ejRo+T3yc3NlVxmXl6e5DIB8Q79AQMGYMCAAZLe29DQsNzj0qhpVQbT02n6cFOt1KjMZWNjYxK5VHDoEKNTvPoDQPWDICWhoaEICAhAaGhodU+FIaTOryyrCopfZ319mt+6/v37k8i9d++exjE5OTlqvtDRo0drXL0+f/680nMrjd9//13jmOI+1l9//RWnT5/W6DZ47bXXJJnfq5ibm5PIpfIJv9onS9dhZcnoFEOHDgXwMoSq6FhXofSx7tmzR/JQMkZ7WFlWEVThLTUJsbGrFY1x1RTwry0tW7bUOMbT01NtJezp6anxuoomE4SGhuL69esalXDxZnxS8uTJExK5VEkKVLCyZJhKUKSgrly5gs6dO0umsE6fPl3imKMCqhdWljWY0lI1peDx48ckci9dukQi18DAoFrl9ujRAz169ABQ2Ka5urCxsRE1bteuXTh16hQ8PT3JYjPFUNOsLVaWVURRX3MpcXR0lFwmAHTv3p1ELtWXgyr0q02bNiRyxWQl6evr44MPPlAdz5o1C6NHjy73GjGfseLm/ZYtW3D+/HmNK1aqIPqaBitLhtFBihRj0QpQk6IUCwf9aw8ryyqidevWksu8du2a5DIBupVldnY2idy2bduSyL158yaJXLHB4w4ODqq87PPnz0tyb22C/p2dnSW596vUhBja4rCyZJg6BGXQ/+HDh3Hp0iV07doVvr6+ksnVFVhZVhEU/q/OnTtLLhMAWStgquBmqqB0qpXw4MGDSeSKSR/08vJSC3Xy8vLS+Nm8ceOGRrnFfaH79u1DUlKSRvOeN3gYhtFZirKzLl++jC5dukiWrUXpCz158iSuXbuGjh07SlawRRtYWVYRZmZmksukqDQNAA8ePCCRS1XwwsrKikSum5sbidy7d++SyM3IyBA1rkuXLujSpYvoa8RkUeXn56utWMePH6/xun379mmUW3zFevjwYcjl8mrbkGJlyTBMpRkxYgSAwkLTvXv3Vh1XFl0KzmdlWYOh8gFSxdVlZWWRyKVaCVOVPFMqlSRyqeZ75coVUeMcHR1Vsb9ir6lJcIk2hmF0Fnt7+3KPq5Jau7KMjY3FqlWrEBkZiaioKHh6euL48eMlxl2/fh0LFizAqVOnoFQq0bZtW2zYsAHdunWTdD4UBV8bNGgguUwApfZSlwIqnyXVriqVL5Sq8EfXrl1J5FLFQyYnJ1f43tUZm1lrlWVUVBTCw8Ph4eFR5gt85coVeHp6YsSIEQgJCQFQ2CgsJydH8vlQKDaqYrPDhw8nkfvqjqlUiKkOpA2aGrDpmlwqM5wqlEwM2gTRU1FrlaWfn5/KyTx27NhSmy5NnToVfn5+akVeX3/99SqbI8Mw5cMryypAUxXx6OhonDt3DmvXrq2S+VCsqnx8fCSXCdCZy1Rpc1QV421tbUnkUhVAEdM+WRuozHsx89WllWWd3eA5d+4cgEKTqFOnTqhXrx5atWqFTZs2VfPMGIYpgleWOsCjR48AAG+//Tbmzp2L7t27Y/v27Zg8eTKaNGmCIUOGiJIj1k9U0erfDMOU5MyZM2rB71VJnVWWRabm5MmTMXfuXACFqWA3b97E8uXLRStLhmHqBnVWWRYFdL+aGztgwIAK+TE1+feKVp41rbd1XYfft5oJVUQAUId9lkU1EF/9MgiCQLZhwDBMzaXOaoXevXtDJpOVaElw5MgRdOrUqZpmxTCMrlJrzXCFQoHw8HAAhZkCWVlZqh4lQ4YMgampKRYvXoy5c+fC2toa3bt3x44dO3Dy5EmcOHGiOqfOMIwOoifUUqdMQkICWrRoUepj8fHxcHJyAgCsWbMG3377LZKTk+Hi4oLPP/9csn4nAPu+air8vtVMKN+3WqssdQX+0tVM+H2rmVC+b3XWZ8kwDFMRWFkyDMOIgM1whmEYEfDKkmEYRgSsLBmGYUTAypJhGEYErCwZhmFEwMqSYRhGBKwsGYZhRMDKkmEYRgSsLImIjo6Gj48PTE1NYW9vj8WLF1drlzzmJdq8NwkJCdDT0yvx5+/vX0WzZsojNjYW77//Pjp27AgDAwN4e3tLfo9aW3WoOpHL5fD19YWbmxvCwsJw9+5dzJ49G0qlEkuXLq3u6dVpKvverF69Gn369FEdUzU1YyqGmNbXlUZgJOeLL74QrK2thczMTNW5lStXCiYmJmrnmKpH2/cmPj5eACDs2bOnKqbJVJCCggLV/8eMGSN4eXlJfg82wwnYv38/Bg0aBEtLS9U5f39/5OTkcK3Maobfm9pJVXQ3YGVJQExMTIlujs2bN4epqSliYmKqaVYMUPn35p133oGBgQGaNGmCWbNmIScnh2qqjI7BPksC5HI5rK2tS5yXyWSQy+VVPyFGhbbvjbGxMT788EO89tprsLS0xPHjx7Fy5UrcvXsXYWFhhDNmdAVWlgwjgiZNmmD9+vWqY29vb9jZ2WHatGm4evUq922qA7AZToBMJkNmZmaJ83K5XNWCl6kepHxvxo4dCwC4ePGiJHNjdBtWlgS4urqW8H8lJiZCoVCU8JcxVYuU701RCwPKXtWM7sDKkoDBgwfjwIEDyM7OVp0LCQmBiYkJvLy8qnFmjJTvTVG30G7dukk6R0Y34UrpBMjlcri5uaF9+/aYN28e4uLiMGvWLHz88ccclF7NiH1vWrduDS8vL2zatAkAEBQUhOzsbPTp0weWlpY4efIkVq1ahSFDhmDHjh3V9XSY/6d46+uvvvoKWVlZ+PzzzwG8bH1daSSP3GQEQRCEqKgooX///kL9+vWFxo0bCwsXLhTy8/Ore1qMIO69cXR0FCZOnKg63rp1q9CtWzfB0tJSMDQ0FFq1aiUsWrRIeP78eRXPnimNoqSB0v7i4+MluQevLBmGYUTAPkuGYRgRsLJkGIYRAStLhmEYEbCyZBiGEQErS4ZhGBGwsmQYhhEBK0uGYRgRsLJkGIYRAStLhmEYEbCyZBiGEQErS4ZhGBGwsmQYhhEBK0umVIKCgqCnp6f6s7e3x5gxY3D37l2S+3l7e6sqjxfdv7I9uSdNmgR3d/fKTk00w4cPV5UFq4msXr0aPj4+1T0NnYV78DBlYmVlhYiICABAXFwcFi1aBB8fH0RFRcHMzEzSe33//fcwNDSUVOaiRYuqrPviuXPncPToUQQHB1fJ/Sh4//33sWzZMhw/fhze3t7VPR2dg5UlUyb16tWDh4cHAMDDwwPNmzeHp6cnwsPDMW7cOEnv5ebmJqk8AGjVqpXkMsti3bp1GDFiBBo0aFAl98vJyYGJiYmkMi0sLDBmzBh8++23rCxLgc1wRjRF7RMSEhIAFPaeKd7xEChpPgcHB0NPTw8XLlyAp6cnTExM4OzsjF27dqld96oZLoakpCS88cYbaNSoEUxMTNCqVSssWrRI9firZriTk5Oaa6HoLygoSDXmxo0bGDp0KCwsLGBhYYFx48bh0aNH5c4jOzsbu3btKjH/oue0ZcsWtG7dGpaWlhg8eDCSkpLUxqWmpmLixImwsbGBqakpvL298c8//6iNcXJywuzZs7FkyRI4ODjA0tJSdf6TTz7BihUr0KRJE1hZWWH27NkQBAHh4eFo164dLCwsMHLkSFFtmMeMGYO9e/ciPT1d49i6Bq8sGdEUKcnGjRtX+Nrx48dj2rRp+PTTT7Fx40aMGzcOFy9erFQL2bfffhs5OTn46aefYG1tjbi4uBLNyIqza9cuvHjxQnV87NgxfPrpp3B2dgYAxMbGok+fPnB3d8fvv/+O/Px8LFq0CH5+fjh//nyZjcnOnDmDnJwc9O7du8Rj586dw4MHD/DVV18hJycHH330EaZMmaJqgQAAI0eORGxsLFavXg1bW1usWrUK/fv3x+XLl9G6dWvVuC1btqBdu3b4/vvvkZ+frzq/bds29OjRAz///DMuXryIhQsXQqlU4uTJk1iyZAlycnIQEBCABQsW4Icffij3Ne3Vqxfy8vJw6tQpjBgxotyxdQ5J6q0ztY7AwEDBxsZGyMvLE/Ly8oRbt24J3t7egoWFhfDgwQNBEAQBgPDtt9+Wel0RP//8swBAWLZsmepcQUGB4OLiIowfP151zsvLSxgzZkyZckrDzMxM2L17d5mPT5w4UejWrVupjyUkJAi2trbCpEmTVOfeeustwdnZWXjx4oXq3O3btwV9fX1h7969Zd5n2bJlgq2tbYnzXl5egqWlpZCenq46t3btWgGAoFAoBEEQhP379wsAhOPHj6vGPH36VLC1tRWmTJmiOufo6Cg0btxYyMnJUbuHo6Oj0KpVK7W2GN27dxcMDAyEuLg41bk5c+YIjRo1KvM5vCrz008/FTW2LsFmOFMmaWlpMDQ0hKGhIVxcXBAXF4eQkBA0adKkwrJGjRql+r++vj5GjBiB8+fPV2p+nTt3xoIFCxAcHIz79++Lvi4nJwejRo2Co6MjNmzYoDp/+PBhjBo1Cvr6+sjPz0d+fj5atGgBJyenEmZxcR49elTmzn337t3V+pEX+WaTk5MBAOfPn0ejRo3UOkuamZlh2LBhOH36tJosHx8f1K9fv8Q9vL29YWBgoDpu3bo1nJyc0KJFC7VzT548QW5ubpnPowhbW1uNroe6CCtLpkysrKxw4cIF/PPPP0hKSkJCQgIGDx6slaxGjRqVOH748GGl5hcSEgJ3d3fMnDkTjo6O6Ny5M44cOaLxuilTpiAxMRE7duxQUz6pqalYuXKl6gei6C8uLg6JiYllynv+/DmMjY1Lfcza2lrt2MjISHUNADx8+LDEawMAdnZ2JfyGdnZ2ou9R2jlBEEQpS2NjY9X8mJewz5Ipk3r16pUbp2hsbFziy1fWJkJKSgpsbGzUjrVZoRanadOmCA4OhlKpxPnz5xEUFIThw4fj/v37avcqztdff42tW7ciIiICjo6Oao81aNAAo0aNwuTJk0tcV17MZ4MGDZCRkaHVc2jSpAlSUlJKnH/8+HGJnfWyfKZSk5GRUWW7+jUJXlkyWuPg4ICbN2+qjpVKZZkru+K730qlEmFhYejRo4ck89DX14eHhwcCAwOhUChw7969UscdO3YMc+bMwRdffAFfX98SjxfFkHbr1g3u7u5qf05OTmXe38XFBQ8ePFDbPBJLz549kZKSgpMnT6rOKRQK7Nu3D3379q2wvMqiVCpx//591aYX8xJeWTJaM2rUKHz33Xfo0qULWrZsiY0bNyIrK6vUsRs3boSRkRHat2+PjRs3IjY2Flu3btX63pmZmRg0aBDefvttODs748WLF/jqq6/QuHFjtG3bttTxb7zxBtq3b49+/frh7NmzqsccHBzg4OCAoKAg9OjRA0OHDsW7774LW1tbJCcn49ChQ5g0aVKZsYd9+vRBXl4erl+/XuGMoUGDBqF3794YP348VqxYARsbG6xevRo5OTmYM2dOhWRVlHr16mHx4sVYvHix6tytW7fw9OlT9OnTh/TeNRFWlozWBAYGIiUlBQsXLoSRkRECAgLQrl07fPfddyXGbtu2DTNnzsTChQvRrFkzhISEoEuXLlrfu379+ujQoQO++eYbJCYmwtTUFB4eHjh48GCpwdpyuRypqalITU1Fr169SjyPoKAgODs74+zZs1i4cCGmTJmCnJwcNG3aFD4+PmohPK/i7OyM9u3bY//+/VqlV/7111+YPXs2Pv74Yzx//hw9evTA0aNHy72nFBQUFECpVKqdi4iIQMuWLSv13tRW9ARBEKp7EkztJTg4GO+88w6ys7Nhbm5e3dMhY+3atdi0aRNu3LhR3VOpFL169cLQoUOxcOHC6p6KzsE+S4aRgClTpuDJkyc4fPhwdU9Fa86dO4eYmBgEBARU91R0ElaWDCMBZmZm+OWXX/Ds2bPqnorWpKen45dffikRdsQUwmY4wzCMCHhlyTAMIwJWlgzDMCJgZckwDCMCVpYMwzAiYGXJMAwjAlaWDMMwImBlyTAMIwJWlgzDMCJgZckwDCMCVpYMwzAiYGXJMAwjAlaWDMMwImBlyTAMIwJWlgzDMCJgZckwDCMCVpYMwzAiYGXJMAwjgv8DhsDfvU2HTdkAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Load pupil size tuning data for tonic spikes from gray screen and sparse noise experiments\n", "conditions = ['spontaneous', 'sparsenoise']\n", "df = load_data('sizetuning', conditions, spk_type='spk').set_index(['m', 's', 'e', 'u']) # 'spk' = all spikes\n", "\n", "# Get graded colormap for tonic spikes\n", "toniccmap = LinearSegmentedColormap.from_list(\"toniccmap\", ['white', np.array(to_rgba(COLORS['tonicspk']))])\n", "# Plot rate heatmap with example\n", "fig = pupil_area_rate_heatmap(df, toniccmap, max_rate='high', example=FIG1BEXAMPLEKEY)\n", "\n", "set_plotsize(w=3, h=4)\n", "fig.savefig(FIGUREPATH + 'pupil_size_spk_tuning' + FIGSAVEFORMAT)" ] }, { "cell_type": "code", "execution_count": 4, "id": "077540a6-370d-4a23-b60c-49ad91fbdd9b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: sizetuning_spontaneous_burst.pkl\n", "Loading: sizetuning_sparsenoise_burst.pkl\n", "Monotonic decreasing: 72/93 (77.4)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Load pupil size tuning data for bursts from gray screen and sparse noise experiments\n", "conditions = ['spontaneous', 'sparsenoise']\n", "df = load_data('sizetuning', conditions, spk_type='burst').set_index(['m', 's', 'e', 'u'])\n", "\n", "# Get graded colormap for tonic spikes\n", "burstcmap = LinearSegmentedColormap.from_list(\"burstcmap\", ['white', np.array(to_rgba(COLORS['burst']))])\n", "# Plot rate heatmap with example\n", "fig = pupil_area_rate_heatmap(df, burstcmap, max_rate='low', example=FIG1BEXAMPLEKEY)\n", "# Change label from 'Spikes' to 'Bursts'\n", "fig.axes[1].set_xlabel('Bursts')\n", "\n", "set_plotsize(w=3, h=4)\n", "fig.savefig(FIGUREPATH + 'pupil_size_burst_tuning' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "26fb5f60-5f79-44bc-bd12-a5da0ea6e04c", "metadata": {}, "source": [ "### Figure 1D1\n", "Components of pupil dynamics (CPDs) resulting from applying empirical mode decomposition (EMD) to the example pupil size trace. Note that the technical term for CPD is intrinsic mode function (IMF)." ] }, { "cell_type": "code", "execution_count": 8, "id": "4cfd2257-5991-4de3-ad3a-fc000b3a5c1a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: pupil_spontaneous.pkl\n", "Loading: pupil_sparsenoise.pkl\n" ] } ], "source": [ "# Load pupil data from gray screen and sparsenoise experiments\n", "conditions = ['spontaneous', 'sparsenoise']\n", "df_pupil = load_data('pupil', conditions).set_index(['m', 's', 'e'])" ] }, { "cell_type": "code", "execution_count": 9, "id": "ecdadf3b-ea38-4297-b7a6-bf06b8a7ab20", "metadata": {}, "outputs": [], "source": [ "# Get data for example experiment\n", "key = FIG1DEXAMPLEKEY\n", "pupil_area = df_pupil.loc[key2idx(key)]['pupil_area']\n", "pupil_tpts = df_pupil.loc[key2idx(key)]['pupil_tpts']\n", "pupil_fs = 1 / np.diff(pupil_tpts).mean()\n", "\n", "# Apply Hilbert-Huang transform to example pupil size trace\n", "hht = HHT(pupil_area, pupil_fs) # instantiate transform object\n", "hht.emd() # empirical mode decomposition\n", "hht.hsa() # Hilbert spectral analysis\n", "\n", "# Extract example time range (same as Figure 1B)\n", "t0, t1 = FIG1BEXAMPLETRANGE\n", "i0, i1 = pupil_tpts.searchsorted([t0, t1])\n", "pupil_area_ex = pupil_area[i0:i1]\n", "pupil_tpts_ex = pupil_tpts[i0:i1]\n", "imfs_ex = hht.imfs[i0:i1].T # transpose to get IMFs as rows" ] }, { "cell_type": "code", "execution_count": 10, "id": "56a2e201-551e-4d65-93f3-94f8e46d1ecf", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(len(imfs_ex), sharex=True)\n", "\n", "# Create a color space and sample from it for each IMF\n", "color_vals = 1 - np.linspace(0.1, 1, len(imfs_ex))\n", "imf_cmap = COLORS['imfs']\n", "imfcolors = imf_cmap(color_vals)\n", "\n", "# Plot each IMF\n", "for i, (ax, imf) in enumerate(zip(axs, imfs_ex)):\n", " ax.plot(pupil_tpts_ex, imf, color=imfcolors[i])\n", "\n", " # Remove axes and ticks\n", " ax.set_frame_on(False)\n", " ax.set_xticks([])\n", " ax.set_yticks([])\n", " \n", " # Plot pupil area in gray on its own y-axis\n", " ax_pupil = ax.twinx()\n", " ax_pupil.plot(pupil_tpts_ex, pupil_area_ex, color='gray', zorder=-1)\n", " ax_pupil.set_frame_on(False)\n", " ax_pupil.set_xticks([])\n", " ax_pupil.set_yticks([])\n", " \n", " # Restrict x-axis to example time range\n", " ax.set_xlim([t0, t1])\n", " ax_pupil.set_xlim([t0, t1])\n", " \n", " # Add label for IMF characteristic frequency\n", " freq = hht.characteristic_frequency[i]\n", " ax.text(-0.075, 0.25, '%.3f s$^{-1}$' % freq, fontsize=LABELFONTSIZE, transform=ax.transAxes)\n", " \n", " # Add label for IMF power (expressed as % total)\n", " power = hht.power_ratio[i] * 100\n", " ax.text(1.01, 0.25, '%.1f%s' % (power, '%'), fontsize=LABELFONTSIZE, transform=ax.transAxes)\n", "\n", "# Adjust vertical space between subplots\n", "fig.subplots_adjust(hspace=0)\n", "\n", "set_plotsize(w=14, h=6)\n", "fig.savefig(FIGUREPATH + 'imfs' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "6dd4c97f-d9be-4ab5-8d1a-78fe0f3cdf00", "metadata": {}, "source": [ "### Figure 1D2\n", "Illustration of the analytic signal components for example IMF." ] }, { "cell_type": "code", "execution_count": 11, "id": "b3b17dcc-b9d0-4138-a1da-ea27799a8709", "metadata": {}, "outputs": [ { "data": { "image/png": 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XDi8pKirCvHnzMG7cOHTr1g0nTpwAAPznP/+5bDX4xqjVaixfvhx///vf8eWXXzo7XCIiagXyairw/nHb1fSe7zUOPhfVhrnU0LBOuDb6rxsDFkHAM3tWoMZkdHp8aeWFeP/4Fpu2uT3HQH6ZlVMu6OAbgOcuGbHz1tFN+DMnzakxElHjlEol7r77blitVixevBibN2/G4MGDMXr06IZtBEGAIAjN3q+pgoKCcPjwYfz444/46aefUFxcjOuvvx6DBjU+1VGtVkOtVmPbtm34/vvvsWrVKoSEhOD2229v9vmJiMj1RMKl/0mcZO/evZgwYQJCQkIwatQofP3119i3bx/69u2L5557DqdPn8ayZcsue4zMzExERETY3Cm4YPv27Thz5ozdcM/26MIdEhf9KImIvIbFasWdm7/DvuLshrZhYbH436jbr1gPocxQiylr/otifU1D2/gOXfDxsBmQOGnqa5mhFjet+wpZNeUNbaMi4pq1gpNVEHDflsXYXni2oU0qEuPfA6bixtieTomT2h5BEFBQV4UasxEiAHKxFDKxGDKxBHKxBHKJFDKxhFPeiIiIvITLkjHDhg1DSEgIli9fDqvVCrlcjv3796Nv375Yvnw5Zs+ejaysrCsfiK6IyRgiai/eProJn6TubHiskEjx+8RZ6Owf1KT9N+efxgNbl9q03dK5Nxb0m9zihEypvgb3blmMlPLChrYAuQ9WX/MQwhzUsrkcnaEWN63/GpnVOpv262N6YE7P0QhX+bcoVmobqox6bC88i635Z7C1IAMFdVVX3EchkSLExxfBCl+EKNWI9tWik58WMX6BiFUHIkLlz0KvREREbuCymjEHDx7EihUrIBaL7ZIEQUFBKCoqcrjf3Llzm3wOkUiEN954o0VxEhFR6/D96QM2iRgAeKHXuCYnYgBgdEQ8Hk4Ygs/S/poq+2PGYZTqa/DWoOkIkF9dXYWjZXn4265fkXVR8kQsEuGdQdc1OxEDAFqFCl+OvA13bf4e+bWVDe2/Zh7D6pxUTIzshutiumNEeGdIWdC+3RAEAScrirAp7zS2FJzBwZIcWJp5I8ZgMSOnpgI5NRUO+8OUakztmIT7ug1CBzck/XSGWpytKsPZqjIU1lWh0qRHldEAvcUEs2CF2WqFWbDCYrVCKZVBI1ciQO4DP5kPVFIZlFIZVFI5fCRS+EhkUEpkUEql0MiVCPLxhUx85emBREREnuCykTHh4eF45513cOedd8JisUAmkzWMjPnqq68wf/58ZGZm2u0XGxtr15aVlYXw8HC76UoikQgZGRmuCL9V4cgYImrLBEHAFyf34PUjG2zaJ0R2xSfDZjT7Lr5VEPDU7l/xe1aKTXuojxrP9hyD6dHJTarvAgAl+mp8nLITP5w5AJPVatP3St+JuLvLgGbFdqm82ko8uHUp0ioc38AIU6oxI7YXbu3cB5G+AS06F3kns9WK/SXZWJ+bjnW5JxtNojibTCzGTZ164eHEIS1eXr3ObEJ6RRHOVpUhs1qHc1VlOFdd/3WFUe+kiB3TypUI9lEj2Me3fkSQjy+CfdQNX4f4qBGi9IVWrnLadEUiIqKmcFky5qGHHsLGjRuxdu1axMTEQCaT4cCBA+jYsSNGjRqFiRMn4r333rviccxms80UJ7LHZAwRtVVVRj1e2P8H/shOtWnvrg3HD2NmwldmX1OsKQwWM+bs+Q2rslPs+sKVfpgUlYCREZ2RqAlDiI8aYpEIgiCg1mzCmaoSHC8rwKb8U9ianwGzYLU7xj/6TsJdXfpfVWyOYn3n6GZ8fWpvo6MgRKivTXN9px4YFR4Hf7mPU85N7meyWpBRWYoTugJsK8jAloIzTUpYyMUSDAyJRpSvpuE4JqsFxks+Vxn1KDHUoERf06RRNRKRCNOjk/FI4lB0CQhp0jUYLGacLC/CjsKz2JB3CkfK8mD18tcoYpEIgQoVghX1SRp/uQ/UUjn8ZD5Qy+RQyxTwkymglingK5VDJZVDLav/7Hv+QyGRtvopXkaLBWfPrwTXTRPq4WiIiNo2lyVjdDodxo0bh5SUFPTr1w+7du3CgAEDcPr0acTGxmLTpk3w87vy0O1LR9WQPSZjiKitsQoCfjl3DG8e3YiSiwruAkC3gFB8M/p2BPuoW3yO945vwScpO3C5v54iAL5SOYzn39BeTqBChbcHXYtREXEtis2Rc1Vl+Cx1J/7ITkW1ufFVoCQiEfqHRGNUeGf0C+6IHoERUEhcNiuZWqDKZECKrgAp5YVIKy9EankRTlUUX/F5dkG0WotR4XEYFRGHwaExUF5mRbFLWQUBxfpqZFbpkFldhnPVOhwry8fuonMOkzQiABMiu2FCZFd0D4yAr1SOapMB1WYjygw1yKmpwLmqMhwty0NaeVGTr6EtkYhEDcmZCJU/onw1iPINQLRa2/C1VqGCWiq/6qSNxWpFlcmACpMeFcY6VJuMqDEbUG0ywmK1QqtQIlDhiwC5D/zlPgiQ+0AiEsMqCLAKAmrMBlSaDKgw1qHMUIu881PWcmoqcKqyGGerSmGyWjEhsis+HX6zk79DRER0MZclYwDAaDTi22+/xYYNG1BSUoLAwECMGzcOd999NxQKRZOOwWTMlTEZQ0SX8/777zd7H39/f9x///127ZWVlfjyyy+bfbyoqCjMmDHDrj0nJ8dmZT0rBNSZTag2GWC22o84kUukCPJRoXtSMiZOnGjXn5KSgrVr1zYrNqPVgjStGFtUtXZ9iWVWJJbZx2FHBKgkcgTIfSAWiTBx4kQkJSXZbbZ27VqkpNiPxrmSGTNmICoqCgCgN5uwLi8dP2UcgfjgaYTUXf5vv0gEyMSShlV1ZGIJ7rvvfgRr7aeefPnll6isrHRwlMubPXu2w/bW9NxrqqSkpBY998xWK2otRtSZTTBbrUgNFCM10H56jMPnnghQiOtro/hIpZCK7Pdr6XPPItS/2a8xGwEB2BopQYnSPnEwItdyxeeeI2tiJKiViSARiRDpq0GMWotO6kD47DkJ1BkhFokghggiESCCqOG6RQAEoX5ZegH1iQUBAuJumAC9xYQ6sxkGiwl1FjPqzEZY1x+EVRBgEaz1+zThNVKtDFgTY5+4VJkEXJPZ/ORSsVKEbZH2Ux5D9QJG5lohFokgOn+tF65WBDQkh4XzXwlC/d/GHH8JdgcLdsnj6Eor+hc14e/UJRp77gH1ib5NUx9t9jGJiKjpXHKrTK/X49prr8ULL7yABx54AA888IArTkNERE1QUeG8GhNWq/WqjqfRaBy2V+lrHR6v0Uk2ZjOqDJWorbVPnAD1NwGuJr6ZfUbijq6R+Dp9H/YWZzaMDJBbBKjNTTyIyYgqvbEhDkdqax1f75WYzX8F4SOVYXp0MqZHJ+PTM1+gsCq3CUewALDABMAE4Jo/PkVYUDBClWqEKtUI8VHDT+aDkrISmGvqmh1fY7z5uWc2m6/qeM567l14jsstjpMEjT/3zLDAjBpHXXDOc08E4MK4M6VIDDgYO6Y0N+N34yJvDpiKhA7RiFRpbGozvb8tFRXVjV1V427p3Nth+z9+3wMJgKaPFQKkYjGUEhnqLCabdpGAq7rWanMj0wotAlQmAY6+r5cjMgoQYJ/ckVmvLr7GnnsAkF2tQ63ZCJX06qaCEhHRlbkkGePj44N9+/bBYnHeENXWPgeXiKg9y6kpx78OrUO1yYAqkwEFdVXIrNZBVlaNSZ4ODvX/Y8ZHdsX4yK4oN9RhW2EGUnSFKNanAqUlng6vUT5XOf3IaLUgraLIrjDwjQYzrmby14jfFp4vjOqLoPM1N4J8fK8qtvZMIhKhs18QEjVhiBRXoabU84sU/GfIDVirL8B3p/ZfdnpcUw0Ji4XGT9PywFwgTOmH4zNmN4zOqzIZUG0yoKisFDsylns6PJeTiyWI8w9Ct4BQdA0IgcXB6EQiInIel00iv/baa/Hrr79i3LhxzdrvlltusXl8YVjp3Llzob1kSLVIJMLSpUtbFigRURsXEND8VXb8/R0vaSsSieDn71+/1Oz5ZWctl3ztaDZAsaES29L32rUHi0WobuQ/kUwsgVqmgMpBHQyVSuVwH7lcflXX6+Pz11gcjULZMPJkd50Ku3W7m328S1f/u0ClUl1VfFKp42+SWq12eDyzYIXBYobRYoHRarab8iU0cn+jtjnDCC6SV1uJvFr76U03Xhq2qD7hIIYYErEIEpEYYpEYElH91xKRCEq1LyxWq93KNmKx+Kq+d2q14/SSVCq9quNd7rnn5++POosJdWYTDFbzFQc+yCQS9AyLxO39+iBBE4auASEN9X12796N3bmlzY7P2c+9IJUf5nRNxBNJw3G4LA/7i7ORV1sBcflpCKg9P6VIBKlIDIlYDJlY/Nf0IgfEjaxY1NjfnKvVkr97yvNLZoco6587lTI1jl/F8TqFh+KuUUOQXVOO7Jpy5NdWosJYB2NpBfSFReenWgGA4PDv5oXpWYAIYlH9z7B/cCgC5D4IOL/Et1omhyRfh8qqdIhQP43LetFUrksLJ4vOTwMTi0QYEhWNO3t1R6RvACJVAQhX+XEpcCIiN3JZzZgffvgBc+bMwZAhQzBlyhSEhYXZjW6ZMmWK3X6jR49u1iiYTZs2tTjW1o41Y4jIWerMJhTUVaGwrgpFdVXIr61Cbk05cmorkFtTgZyacugtVzEevolCfHxxTVQCpnRMwoCQjhwV6SRVJgNSdYU4oSvAcV0BTugKkF2jc+nPsiUkIhFCfNQIV/oh1j8IcX5B6OwfhDj/YET7apu89Lg71JiMWJ+bjt+zT2BbQYbdEueXStaEYVpMMqZ1TEIHLkdO5wmCAIsgwGS1QHxRcouIiNoulyVjGrvz0XBikcip05jaMyZjiMiRlZnHcawsv34Ui9VqM5qlzmJqGIJfbTI2DMm/tFaCq4hFInRQ+aOjrxYxai16B3VA3+AoxPoFQcwEjFsIgoBqsxHFddUo1lej1mxErdn018gOixlGq6Xhs/HSx1Yz6swmlBpqUaqvQamh5oqJCGeQiyXoERiBASHRGBDSEUNCO7lttahasxFnq8pwprIUZypLcLA0B/uLs6+4clBnvyBMj07CtOhkdPYPckusRERE5N2cmoyZOHEiFi5ciG7duiEzMxOCIGDDhg0YNGiQw2WsY2Ji7Nq+/fZb3HnnnVdM5lzs9OnTyM/Px4gRI1oUf2vFZAwROfLM7hX4NfO4286nlsoR6atBB5U/QpRqm/ohgQoV1DI5/GQKqKUKBMiVXjW6gVpOEARUmvQo0dc0fJQaLvr6QruhBsX6GhicNCrHT6bApKhumNIxCUNCO7X4eSUIAkr0NThTVYqMyhKcrixFRlV98sXRVKzGdFD5Y1p0MqZFJyFJYz86mIiIiNo3pyZjxGIxdu/ejYEDBwKoX5ZaLpdj3759TV6Wuk+fPtDpdJg5cyZmzJiBXr16OdyutLQUa9aswZIlS7Bp0yZ8+eWXdvVm2gsmY4jIkbl7fsPP54467Xi+UjmifDWI8g1ApG/AX1+r6r8OkPvwDSc1iSAIqDIZzk+Hq67/rK+2eXxhutylNS8ux0+mwLgOXTA0LBb9Qzoi2lfT6HPSaLEgq0aHM5UlDaNdMipLcKaqFFUmw1VdV5DCF1M6JmBadDL6BkdxlBcRERE1yuXjepubIDh06BCWLl2KhQsX4l//+hfUajUSExMRHBwMhUKB8vJynD17FllZWdBqtbjrrrvw6aefIjIy0kVXQETUOjWl3oD8fJFctUwBP6kcAQolwpR+5z/UCFP6MdlCTicSieAv94G/3AddAkIa3c5gMSOrWnd+ZEr96JQjZXk4W1XmcPsqkwG/Zh5vGBGmkSvRSa1FhMofPlIZBAEoM9Qgu6YcWdW6hiXMWyJC5Y+R4Z0xpWMiBod2gpR1PoiIiKgJXD4yRiaTYf/+/U0eGXOxM2fOYP369Th48CAKCgqg1+sRGBiIbt26YdiwYRg9ejRksqtc+uEiKSkpeOKJJ7Br1y5oNBrMmjULr7zyCiRXGOpcUVGB2bNn49dff4XVasW0adPwwQcfICjIdj74ihUr8OKLL+LUqVPo3LkzXnnlFdx6660tjvsCjowhIkdyaspRbqiDVCyGRCT+67NIDB+pDL5SudtqbRA5U3FdNfYWZ2FNTho25p1ySyHiQIUKnS8UEvYLQtz5gsIdLzP6hoiIiKgxTn8V7ugFydW+SImLi0NcXFxLQ7osnU6H8ePHIykpCStWrMCZM2fwzDPPwGq1YsGCBZfd95ZbbkF6ejq++OILiMVizJs3D9dffz22bdvWsM327dtx00034dFHH8UHH3yAP/74A7fffju0Wi0mTpzo0msjovatfhqRxtNhEDldiFKNqdFJmBqdhGqTAZvzz+DPnDRszj+NWvPVF6EWi0SIUgUgzj/4oqRL/deBCsdLWhMRERFdDaePjNFoNJBK/8rxlJSU2LVdUFRU5KxTX7V///vfePPNN5GZmQl/f38AwJtvvon58+ejoKCgoe1Su3btwtChQ7FlyxaMHDkSALB3714MGjQI69atw/jx4wEAkyZNgslkwsaNGxv2nTJlCiorK7F9+3anXANHxhAREdVPazpcmov9Jdk4WJKDjMpS5NRW2NWdUUvliD0/uqWzf1D9iBe/IHTyC+RoMSIiInILp77ieOWVV5x5OLdYvXo1Jk2aZJN0ue222zBv3jxs2bIF06dPb3S/sLCwhkQMAAwcOBCxsbFYvXo1xo8fD4PBgE2bNuGDDz6w2fe2227Dfffdh4qKCgQEBLjmwoiIiNoZhUSKQaExGBT612qNRosFFca6hqlMWoUSvlI5pxYRERGRR7X7ZExaWhrGjh1r0xYdHQ2VSoW0tLRGkzFpaWlISEiwa09MTERaWhqA+po3JpPJbrvExERYrVakp6djwIABV4yRLxiJiIiujlwiQYhS7ekwiIiIiGy0+5L/Op0OGo3Grl2r1UKn07VovwufL91Oq9Xa9BMRERERERFR+8GJ0a0Aa8EQERERERERtR3tfmSMVqtFRUWFXbtOp2sYwXK1+134fOl2F0bEXO74RERERERERNQ2tftkTEJCQkONlwuys7NRW1vrsCbM5fYDbGvJxMXFQSaT2W2XlpYGsViMrl27OuEKiIiIiIiIiKg1affJmMmTJ+PPP/9EVVVVQ9vSpUuhVCoxatSoy+5XUFBgszz1/v37kZGRgcmTJwMAFAoFxowZg59++slm36VLl2LIkCFcSYmIiIiIiIioHRIJ7bwgiU6nQ1JSErp374558+YhIyMDTz/9NGbPno0FCxY0bBcfH49Ro0Zh0aJFDW2TJk3CqVOn8Pbbb0MsFmPevHkIDQ3Ftm3bGrbZvn07Ro8ejccffxzXX389/vjjD7z99ttYs2YNJk6c6NZrJSIiIiIiIiLPa/cjY7RaLTZs2ACLxYLp06fjlVdewVNPPYV//OMfNtuZzWZYLBabtqVLl2LUqFG4//77cffdd6Nfv3745ZdfbLYZPnw4li1bhvXr12PSpElYuXIlfvjhByZiiIiIiIiIiNqpdj8ypjUQiURN2o4/SiIiIiIiIiLvx6WtiYiIiIiukt5sQnplMbKqy6Ez1KLGbIRUJIZMLIFGrkSIUo1QpRqRqgAopTJPh0tERF6CyZhW4EojXpo6coaIiIiIWqbGZMSe4kxsK8jArsJzOFNVCmsTRydHqgIQHxCMeP9g9AiMQN+gKHRQ+fO1HBFRO8RpSm3AhX/g/FESEREROV9mtQ4bctOxPu8UDpZkw2S1Ou3YoT5q9A/piFHhcRgR0RlhSj+nHZuIiLwXkzFtAJMxRERERM5jFQQcLs3FhrxT2JCbjlOVJW47d5ImDNOikzAtOhmRvgFuOy8REbkXkzFtAJMxRERERC1TbqjDnuJMbM47jQ15p1FqqLniPmKRCEmaMCRpwtAlIATBPmr4yRSwClYYrBaU6WtQpK9GYV0VzlaV4UxlKcqNdU2OqV9wFK6P6Y7rYnrAVyZvyeUREZGXcXsy5sEHH4TVasWiRYvcedo2jckYIiIioqYzWS3IqCxFSnkhTugKsKcoE6nlhWjKK6ko3wCMDI/D8PBYDAntBH+5T5PPKwgCSg21SNEV4FBpbsNHtclw2f38ZArcEtsbM7v0R0e1psnnIyIi7+X2ZEx8fDysVisyMjKavM+xY8ewd+9eFBQUQK/XIzAwEF27dsXQoUOh1WpdGG3rwGQMERERtVUWqxU6Yx10hlpUGPUwC1ZYrNb6z4IVJqsFRqsFJsv5zxd9GC98WCwoNdSgoLYKBXWVyK2pgNFqaXIMvQM7YFxkV4zr0AVdA0KcWnDXZLXgSGkeNuefxqa800irKGp0W7FIhGuiEjC7+0jE+Qc7LQYiInI/r52mlJGRgU8++QTff/89CgsLIRaLodFooFAoUF5ejtraWojFYowaNQqzZs3CrbfeCrFY7OmwPYLJGCIiImor8msrsb0gA3uKs5BeXoRTlSXNSpw4g0IixbCwThjXoSvGdohHqBuL6p6uLMFvmSewMusEsqp1DrcRi0S4qVNP/K37SESo/N0WGxEROY9XJmNmzZqF77//HsOHD8dNN92EoUOHIjk5GRKJpGGbkpIS7Nu3D3/++Sd+/vlnqFQqLFq0CMOHD/dg5J7BZAwRERG1ZuWGOvyWdQLLzh7BcV2BR2JI0oRhcGgMhoR1wuDQGKiknq3RIggC9pdk4+v0fVibe9Lh8tkqqQxPdx+Nu7v0h6Sd3pQkImqtXJqMWbt2Lfbu3Yv8/HxERERg0KBBmDBhwhX3e+KJJ/Dss88iJiamSeexWq346aefAAC33npri2JujZiMISIiotaozFCLz9N249tT+1FnMbnlnBq5EhEqP3QNCEXi+eK7SdowaBUqt5z/auTWVOB/p/bhh9MHHX6femgj8PrAqUjQhHkgOiIiuhouScbk5eXhhhtuwL59+xAaGorQ0FAUFRWhqKgI/fv3xy+//ILIyEhnn7bdYjKGiIiIWhODxYzPUnfii5N7UGM2NrqdVCRGrF8QYv0CEahQQaNQQi6WQCISQyoW138WiSGXSCAXSyC76EMuOf/5/OMAuRLhSj8opTI3XqlzFddV46OUHViScRAmq9WmTy6W4KU+E3B7XF+n1rQhIiLXcEkyZtq0aTh69CiWLFmCoUOHNrTv2LEDt99+O3r27Inff//d2adtt5iMISIiotZiS/4ZzD/4Z6P1UOL9gzG5YwKGh3VGj8AIKCRSN0fo/c5WleGl/auxq+icXd+06CS8PmBaq046ERG1By5JxqhUKnz55Ze47bbb7Pp++OEHPPjgg6ipqWnxeb777jsIgoCZM2e2+FitGZMxRERE5O3yaivxr0PrsCYnzWH/lI6JeKDbIPQK7MCRHU0gCAJ+OXcMCw6vQ4VRb9OXrA3Hp8NvRgcW9yUi8louudUQFhYGpVLpsE+pVCI42DlL8d13332wWq3tPhlDRERE5K0EQcCKzON45cAaVDuYkjS+Qxc83WM0umlCPRBd6yUSiXBjbE8MDuuE2bt+wYGSnIa+E7oC3LDuS3w67Gb0CWZpACIib+SSkTGff/45PvzwQ/zxxx82tWFycnIwdepUPPbYY3jooYdafJ6srCwIgtDkQr9tFUfGEBERkTeqNOrx0oHV+D0rxa4v2leDl/tOwpgO8R6IrG0xW61488hGLErfY9MuF0vwr/5TcGNsTw9FRkREjXFJMubmm2/Grl27UFxcjL59+zYU8D148CBCQkJs6siIRCIsXbrU2SG0K0zGEBERkbfZU5SJZ/asRH5tpU27XCzBw4lD8EjCUPiwrolTLTt7BC/tXw2j1WLTPqvbYMztOYbLXxMReRGXJGPGjBnTrO03bdrk7BDaFSZjiMiRlZnHsezsUUT6BiDKNwAdfTWI9NWgo28Agn3UELMmAxG5gNFiwX9ObMVnqTtx6SuTZG043h18HeL9nTNlnewdKMnB/21fhlKDbX3G0RFxeH/w9fCT+3goMiIiuphLkjHOFBIScsUibkVFRW6KxjsxGUNEjvz78AZ8cXK3wz65WIIoXw0izydponwDGhI1kb4aBClULKBJRM12srwIc/asxInyQpt2EYCHEoZgdvdRkEskngmuHcmrqcDD239CyiU/hzi/IHw6/GZ09g/yUGRERHSB168V+Nhjj9m9IdDpdNiwYQMqKytx//33eygyIiLvllNT3mif0WpBRlUpMqpKHfYrJTJE+QYgWq1FgiYUSZpwJGhCEa3WckQNEdmxWK344uQevH98i90UmQiVP94edC0Gh7bvGn/u1ME3AEvH3Y25e37D6otWrzpTVYob1n+F9wdfhzEdungwQiIictnImLy8PPz222/Izc2FXq+363/zzTdbdHxBEHDLLbegT58+eOGFF1p0rNaOI2OIyJE7N32H3UWZTj1mgNwHg0JiMCQsBkPDYhHnF8QRNETtXIquAC8fWINDpbl2fVM7JuGf/a9BgNzxKpvkWlZBwIcntuE/J7bZtIsAPNVjFB5NHMa/4UREHuKSZMySJUtwzz33QBAEhISEQC6X255UJEJGRkaLz/Pnn3/ivvvuQ15eXouP1ZoxGUNEjakyGZBbU46cmgpk15Qjt6YCOTXlyKkpR3ZNBapNhhYdP84vCFOiEzGlYxK6BoQ4KWqi9s1itUJvMaPOYoLeYoLJaoVcLIFCIoGvVAGllxS9La6rxsIT27A44xCsl7wGCZD7YH7fSZgencw3+17gz5w0zNnzG2ouWVr8mqgEvDlwOnxl8kb2JCIiV3FJMiYuLg6DBg3Cp59+Cn9/f2cfvsEnn3yCl156CSUlJS47R2vAZAwRXa0KYx1yGhI0fyVqLnxdazY1+VjdAkJxe1wfXN+pB/xkChdGTdT6WQUBJ8uLcEJXgJTyQmRWl6GwrgoFtVXQGesuu69aKkeQjy8iVP7o7BeEzn5BiPMPQq+gDm4ZgZJXW4mvTu7B92cOwmAx2/WPDO+M1wdOQ5jSz+WxUNOlVxTjke0/IbNaZ9PeNSAEHw+bgVi/QA9FRkTUPrkkGaPRaPDzzz9j3LhxLT7Wxx9/bNdmNBqRmpqK77//HjfffDO++uqrFp+nNWMyhohcQRAE5NdWIqW8EKnlhTiuK8C+4ixUGO2nnl5MJZXh+pgeuL/bIL64J7qI3mzCxvzT2JR3Glvyz9itduMM8f7B6BsUiT7BUegTFIk4/+AW13kSBAG5tRXYVpCBtTknsa0gw26VJADQyJWY03MMbu3cm6NhvFSFsQ6zd/2KrQW2I9TVMgXeHDgNk6ISPBQZEVH745JkzP3334/IyEj885//bPGxxGKxXZtCoUBUVBRuuOEGvPLKK/D19W3xeVozJmOIyF0sVitSywuxo/Ac1uWedFgj4gKxSIRro5PxWNJwrtxB7ZYgCDhcmoefzx3B71kpqGrh1MDm8pMp0CuwA+L9gxHjp0WUrwb+Mh/4yRSQiSUwWS0wWM2oMhpQZqxFmb4WOmMtdIY6lBlqUVRXjfSKYlSaGk/CikUi3N65D57qMQpahcqNV0dXw2K14p1jm/FZ2i67vlndBmNOzzGQOnj9TUREzuWSZExtbS0eeOAB+Pr6YuzYsdBoNHbbTJkyxdmnbbeYjCEiT8mtqcAf2an49dwxpFUUOdxGLBJhenQyZncfiWi11s0REnlGib4ay88dw89nj+J0ZdOmU/tIpAhX+iNUqYZKKoNSIoOPVAapSAyT1QKj1YIKox4l+hoU66tRZqh18VVcHhOurduqrBQ8t+93u+moA0Oi8Z8h1yOU08yIiFzKJcmYw4cP46abbsLZs2cdn1QkgsVicdhHzcdkDBF5miAIOFiai+9PH8Dq7FS7pW0BQC6W4J6uA/BY4jD4yX08ECWRawmCgN1FmfjhzEGsyz0Jk9Xa6LY+EimGhnXC4NBOSNaGo2tACLRyZbOm91QZ9ThbVYYzVaU4XpaPQ6W5OKErgFlo/LzOEKTwxU2xPXFr597oxKmIrdrpyhI8tuNnu4RhsI8vPhp6E/qHdPRQZEREbZ9LkjF9+vQBALz22muIj4+3W00JAGJiYlp8nuzsbAiCgOjo6BYfqzVjMoaIvElhXRX+m7oLizMOOSzuGahQ4W/JI3BbXF8Ohac2QWeoxfJzx7D4zEGcrSprdDu5WILxkV1xY6ceGBoWC4VE6vRY9GYTjunycbg0D4dKc3CoJBdF+uoWHbODyh8JmlB010ZgZHgcegZGQMLf3TajxmTEC/tX4feslIY2uViCH8fdgx6BER6MjIiobXNJMsbX1xfLly/HpEmTnH1oGzKZDFartd2PsmEyhoi8UVFdFT5P293oiivx/sF4vvc4jI6I90B0RC1jtFiwozADKzNPYE1OmsPRYBd014ZjRmwvTI9Ohkbh+tWOLiYIAkoNtciq1iGzWofCuipUmwyoNhlhtJohF0shE4vhJ1NAq1BBq1AhUKFCoEJZ/1iuglwicWvM5H6CIOCbU/vx2uH1MAtWLOg/GbfH9fV0WEREbZpLkjFjxozBHXfcgQcffNDZh7bxzTffQBAE3HPPPS49j7djMoaIvFlebSXeProJKzKPO+wfEd4Zz/cah26aUDdHRtQ8tWYjdhWew4a8U/gz5yTKL7MEtVqmwA0x3XFbXB8kaMLcGCXR1TtYkoN1uemY23MMV8QiInIxlyRjDh06hHvvvRdz5sxptICvSsVq+87CZAwRtQZHSnPxr8PrcaAkx65PLBLh1s69Mbv7SAT7qD0QHZE9i9WK9Ipi7Cw6hy35Z7CvOOuyI2AAoIc2AnfE98W06CSopPbTtImIiIgAFyVjLixHfbmMenufWuRMTMYQUWshCAJW56ThjSMbkFNTYdfvK5XjwYTBeKDbIL6R9SCrIKDGbESNyYBaswlGqxkWQYDFaq3/LFhhFQRIxGLIxGLIRBJIxWLIxBLIxH997SORwkcig7iV3GGvNhlwpDQPB0qycaAkB4dLc1FtNl5xP1+pHNOik3B7XF/W2CAiIqImcUky5uuvv75sIsZoNDZrCtO5c+fw3XffIT09HXq93q7/xx9/vKo42womY4iotTFYzPg6fR8+Tt2BapPBrj/UR42/dR+JGbG9WOS3hSqMdciqLq9fCllfi1JDDUoNtSgz1EJnqD2fdDHWfz7/dZ3FdOUDN4NcLIFCIm1IzvhIpOcfy863SaG46GsfiQwK6V9fKyUyqGVy+ErlUMsU8JXK4StTQC2Vw1cmh1Iia9aUilqzEbk1FThVWYKT5UU4WVGEkxXFyK7Woan/SeViCcZ0iMe06GSMiYiHUiq7um8OERERtUsuScY4IggCNm7ciMWLF2P58uUoK2t8tYGLHThwACNHjkR0dDTS09PRs2dPVFRU4Ny5c4iKikJ8fDw2btzo4ui9G5MxRNRalehr8MHxrViccQhWB3/DuvgH45meozG+Q1fWL7gCnaEWqeVFSC0vRIquEKcqi5FdXY5Kk/1NjLZGLBJBJZXXJ2fOJ2h8pQr4yuRQSWSos5hQZTKg0qhHfm0ldJep9XI54Uo/jIqIw6iIOAwNi4WfTOHkKyEiIqL2wuXJmN27d2Px4sX46aefUFhYiMDAQNxyyy346KOPmrT/2LFjER0djUWLFkEmk2H//v3o27cvdu7cidtvvx2fffYZrrnmGldegtdjMoaIWrtTFcV4++gmrM875bA/WROGx5NHYEIkkzIXWAUBR8vysCHvFDblnUJqeZGnQ2pzwpRq9AvuiL7BURga2gldA0L4/CMiIiKncEky5tixY1i8eDGWLFmCzMxMyOVyGI1GvPvuu3jssccglUqbfKzAwEAsXrwYEydOhEQiwfbt2zF06FAAwJdffokPPvgAhw8fdvYltCpMxhBRW7G3KAuvH9mAI2V5DvuTNGF4PHk4JkR2azV1SJypymTAjoKz2Jh3Cpvzz6DUUOOU4/pK5VBJZQ2jSXwvGmGiksqhEEshEYkgEYshEYkhEYkgFolgEQSYLBaYBAvMVitMVgtMVivMggVGiwUGqxl6ixkGswl6i/n8hwkGixl1lvo2b6GWytElIATJ2nD0DYpCv5AoRKoCmHwhIiIil2h6VuQKMjIysHjxYixevBipqamQSqWYOHEi/vnPf2LUqFGIjo5Gnz59mpWIAeoTDXK5HCKRCKGhocjMzGxIxnTs2BGnTjm+i0pERK3PwNBo/Dz+XqzOScNbRzchq1pn059SXohHd/yMLv4huLtLf1wX0x2+MucV+q0y6qEz1qHaZECN2YhqkxFWwQqRSAQRRJCJxfCTKeAn84G/XAGtXAWJi2vaZFXrsDHvNDblncKe4kyYrNYm7ScViRHlq0FHtQbRvhpEqPwR5OOLQIUKQQpfBPqoEChXwlem8FhiSxAEGK0W6C0XJWvM9cmaC4kbvcWM2vP1bKpNRtSYDTY1bi78rC5tc7TqkVIiQ4hSjUhVACJ9/RGt1qJbQCgSNKFMvBAREZFbOW1kjFgshkgkwqBBg3D//ffjpptuglarBQBUVFRAq9Vi8+bNGDlyZLOOO2LECNxzzz2YNWsWbrjhBuTm5uL777+HXC7HrFmzUFhYiKNHjzrjElotjowhorbIZLXg13PH8FHKDmTXlDvcRi1TYErHREyOSsDg0E6QSySXPaZVEFBYV4Wsah2yqnXIrNYhq7q8/nGNDhXG5tVXkYrECFf5IULljw6qAET5BiDePxhx/sHo7Bd0VUVdDRYzDpTkYGvBGWzOO41TlSVN2i9ZE4YBIdFI0oYjUROKOP9gKCROu+fS6pisFtSYjKi1mKCUSKGWKSATX/75QUREROQuTnuVFhMTg8zMTBw/fhybN29GREQEJk2a1OyRMJd66KGHkJmZCQB47bXXMHHiRCQkJAAAfH19sWzZshbHTkRE3kcmluDmzr1xfaceWHHuOD5K2Y6sS5Iy1SYDfsw4jB8zDsNHIkV3bQS6BYQgRKmGRCSG0WpGib4GebWVyK2pQHZNOQxOnBpjFqzIqak4v0x3tk2fCECkbwDi/IMRqw5EJ79AxKi1iPELhEbuAx+JDAaLGWWGWpytKkVKeSEOluRgT1FWk1Yz8pFIMSwsFmM6xGNMRDzCVf5Ou662QCaWQKNQQgOlp0MhIiIisuPUmjG7d+/GDz/80FCsV6vV4sYbb8TkyZNx8803Y9OmTc0eGXOp6upq7Nq1C3V1dRg8eDBCQ0OdFH3rxZExRNQemKwWrMg8jkUn9yC9otjT4XhEuNIPYzrEY1yHLhgc2onLKRMRERG1Ui4p4Gu1WhuWsf7ll19QXl4OkUiEO+64A3/729/Qv3//y+7/7bff4o477oDkCsPNL3b69Gnk5+djxIgRLQ2/1WEyhojaE0EQsLc4C9+dPoD1uekOa4M0l0QkQqQqANFqLUKVfvCVyqGWyaGWKSAViSGgfoqT0WpGldGAKpMe5UY9CuoqkV9biWK9cwrpOtIrsENDAiZRE8a6JkRERERtgMuXtjaZTPjjjz+wZMkS/Pbbb6irq0PXrl2Rmpra6D59+vSBTqfDzJkzMWPGDPTq1cvhdqWlpVizZg2WLFmCTZs24csvv8Qtt9ziqkvxWkzGEFF7VW0yYHP+GWzITcfh0ly7aUwX85XK0dFXg2i1FtFqLWLU9V93VGvRQeXfonoiBosZ+bWVOFddhtMVJThTWYLTlaU4XVmCSlPz6tAEKXwxIjwWw8M7Y3hYLEKU6quOi4iIiIi8k8uTMRerra3Fr7/+iiVLlmDlypWX3Xbp0qVYuHAhdu7cCbVajcTERAQHB0OhUKC8vBxnz55FVlYWtFot7rrrLsyZMweRkZFuuhL3aupdUCZjiKi9KzfUIb+2EiXnl3yWisTQyJXo4OsPf5mP20eVCIKAUkMtMqt1OFdVhszqMuTUVKDGbESd2QS5WAKtQoUwpRoJmjAkakIR6xfULpftJiIiImpP3JqMuRpnzpzB+vXrcfDgQRQUFECv1yMwMBDdunXDsGHDMHr0aMhkbXvOPJMxRERERERERG2H1ydjiIiIiIiIiIjaErGnAyAiIiIiIiIiak+YjCEiIiIiIiIiciMmY4iIiIiIiIiI3IjJGCIiIiIiIiIiN2IyxsXmz58PkUjU6MfXX3/t6RCJiIiIiIiIyI2kng6grZs1axZycnKwbNkyrFmzBgBQV1eHsWPH4sUXX8TUqVOveAwubU1ERERERETUdjAZ42JRUVGIioqCVCrF4MGDAQDV1dUAgLi4OISEhHgyPCKiNm9l5nE8tXuFTdvayQ8jzj/YQxE1TW5NBR7c9iNOVhTZtB+58VmoZQoPRUU1JiN2F53DhrxTWJebjjJDrcPtnu0xGv+XNMzN0XnGwZIcvHZ4PQ6V5tq0B8h9cPCGZzwUlXtUmQz44PhW/O/UPlguuSn25+SHEe/lf2eIiMhzmIxpBa404qWpI2eIiNqbPUWZmLf3d7t2s9XqgWiaLkVXgHu3LEGpocauz8pRkG5lsVqRUl6I7QUZ2FaQgYOlOTA14fljFrz7OeYM2dXleOvoJqzKTnHY7+2/Zy0hCAJ+yzqB1w6vR7He/vcUAMxWi5ujIiKi1sQtyRhBEJCTk4Ps7Gz06tULvr6+7jgtERG1Y5nVOjyyfRmMDt4QCfDehMaxsnzcs+UHVBj1Dvu9Ofa2wGix4JguH/uKs7CvOAsHSnJQZTJ4OiyvUmXU4+PUnfg6fa/D36+2Lr2iGPMP/ok9RZmX3Y55UyIiuhyXJ2M+/vhjLFiwAAUFBRCJRNi3bx/69u2LG2+8ESNHjsTs2bNdHQIREbUzBosZT+z4GZUmxwkNb3WkNBf3bFnMN/9uYrJakFFZitTyQqSUF+J4WT4Ol+XBYDE3aX+5WIKR4Z0xIaobVFI5nti53MURe5bFasXSjMN47/gWh9OzghS+DkdztRXVJgMWntiOr9P3Ohz51Navn4iInMulyZi33noLL730EubNm4cxY8Zg7NixDX2jR4/G4sWL22UyRizmIlZERK706sG1OFFe6OkwmuVcVRke2LrUJhGjksogE0saHSVDTVdp1COtvAgp5YVILS9AankRTlUUN3tkR0dfDUaEd8bw8FgMD+sMX5kcALCz8JwLovYeOwvPYcGhdXY1jID6pNQD3QbhkcShuGPTdzihK/BAhK4jCAL+yE7Fvw6vQ2FdtV1/oiYU/+g3GauyUvC/U/s8ECEREbVGLk3GfPTRR3j11Vcxd+5cWCy2L3a6deuG9PT0Jh/LaDSiuLgYer0egYGB0Gq1zg7XbVQqFRQKBdavX48RI0YgLi7O0yEREbUZv547hiUZh2zaNHIlyo11DY+9bfpAuaEOs7Ythe6iGNVSORaNvA1fnNyNdbl//b/0tti9jSAIyKutREp5AVJ1heeTL4XIqam4quMFKlQYENIRQ0I7YUR4Z8SotU2q1dZWVjg8V1WG149ssHkOXuza6GQ823MMIn0D7PrawpS6c1VlmH/wT2wryLDrU8sUeLr7KNwZ3w9SsRirsmxr57SF6yciItdxaTKmoKAA/fr1c9gnFouh11/+Tt+JEyfwzTffYP369Th27JhNQicoKAhDhw7FjBkzcNNNN0GpVDo1dld78MEH8dlnn0GtVuPTTz/1dDhERG1CekUxXty/2qbt9rg+kIulXnvH2mS14NEdy3C2qqyhzUcixVejbkff4CgsOrnHg9F5P4PFjKNledhXnI19xVk4UpbXopFEUb4BGBASjQHBHTEgJBqxfoFNSr60tVL6JqsFn6ftxsIT2xyOHuoTFIkX+0xA76BIm/a28n0wWMz4PG03PkrZ7vD6b+jUA8/1GotgH7UHoiMiorbApcmY+Ph4bNmyBePGjbPr27p1K5KSkhzut2PHDrz44ovYunUrBgwYgFGjRuHJJ59EcHAwFAoFysvLce7cOezfvx9PPfUUnnjiCTz99NN46qmnoFZ73z/F+fPnY/78+TZtCxcuxMKFCz0TEBFRG1RtMuCxHT+jzmJqaEvWhuOlPhPxxpGNNtt60x3rD09sx57irIbHIgDvDr4OfYOjPBeUl8uq1mFD3ilszDuF/cXZV1VEViISobNfMJK0YUjQhCJJE4YETRiCfbjIwLGyfDy/73eklttPSQpX+mFer3GYHp3UZldz3F2UiZf2r0ZGValdX7eAUPyj3yQMCIm262ub3w0iInIVlyZjZs+ejUcffRRyuRwzZswAABQVFWHRokV499138fnnnzvc78Ybb8STTz6Jb7/9FlFRl38xarFYsH79erz//vsAgJdeesmp10BERN5PEAQ8v2+VzZsnP5kCHw69EQqJ1GvfJB0oycHHqTts2ub1GodJUQmN7uNNiSR3EQQBqeWFWJWdivW56ThdWdKs/dVSORI0YUjUhCFJW/+5a0AIFBLXvQxqjT8lqyDgs9SdeO/4FlgumWblI5Hi4YQheDBhCJRSWZOO19pmapXqa/DvIxvwy7ljdn1KiQyzu4/EvV0HQtrE2n+t7PKJiMjNXJqMmTVrFnQ6HV599VW88sorAIApU6ZApVJh/vz5uOOOOxzul5mZCR8fnyadQyKRYNKkSZg0adIVpz0REVHb9PWpffgjO9Wm7e1B1yJa7b31xapMBjyzewWsF71jvSYqAbO6DbLZro0OPmiSUxXFWJWdgt+zUmymcV1OsI8vegV2sEm8RPlqIHbxN7K1jxIprqvGM3tWYkfhWbu+sR3i8Y++16CDg7owlxJ5beqzcYIgYPm5Y3jt8Hqb2lIXjI/silf6TLzi9bf25wAREbmXy5e2njNnDh555BHs2rULJSUlCAwMxJAhQxAQ0Pg/tKYmYpy1HxERtV6b8k7j34fX27Q9nDAE4yO7NrqPN9yxfvXgWmTXlDc8DlOqsaD/5Cu+ofOG2F2pRF+NX88dxy/njiHNwco9lwpX+mFYWCwGhHRE/5BodGpigV1Xa00jmLYVZOCZ3SvtlmUOVKjwct+JmNbx6qYktYbvQW5NBf6+/w+HBXojVP54pe9ETIjsdlXHbitFnImIyDVcnowBAD8/P0ycONEdpyIionbkaFkenti53GZKxaDQGDzdY7TNdt7w5vxif2SnYvm5ozZtbw6cDq1CZbdtaxxp0FwmqwWb8k7j57NHsCn/tN0UmYuJAPQK7IAxHbpgXIcuSNCEesXP1/MRNJ/JasF7x7bgs7Rddn2jIuLw1sDpCGpmDR0v+FE0iVUQ8N3p/Xjr6CbUmk02fRKRCPd1HYQnk0c0LF1ORETkbC5Nxvz8888oLy/HAw88AAA4e/Ys7rzzTqSkpGDcuHFYtGgRNBrNVR9fJpNBEASYzWYnRUxERK1FWnkhHti61KZgb6QqAB8Muf6KNR08ecc6v7YSL+7/w6bt/q4DMTy8s4ci8pyT5UVYdvYIfs08jjJD7WW37RMUianRSZjSMRFhSj83Rdh2ZVeXY/auX3C4LM+mXSYWY07Psbiv60CXT+3ylIzKUjy373ccKMmx6+uuDcfrA6YhURvW7OO2ze8WERG5ikuTMQsWLMDdd9/d8PiJJ55ASUkJnnvuOXz22Wf4+9//jo8++uiqj//SSy9xCCgRUTt0tCwP925ZbLOEcYDcB1+Nus3hUrPe8ibJKgiYu/c3m7i7BYTi2Z5jmnyM1v5/r85swsrM41h85hCO6fIvu22iJhTTo7tjanQionw17gnQSbz5x/RnThrm7f0dVSaDTXu0rwb/GXIDegZ1cMp5vO1bYLJa8EXabnzgYLluhUSK2d1H4v6ug5pcoPdKvO36m2JH4Vl8lroLHw+7CWqZwtPhEBG1aS5NxmRkZKBHjx4AgIqKCqxduxa//PILpk6diujoaDz33HMtSsa8/PLLzgqViIhaiT9z0vDsnpU2UwsUEin+O/wWxPkHezCyK1t0cg92Fp5reCwXS/De4Osuu6qPtySSWupcVRm+P30Ay84eRaWp8YL7WrkS18V0x4zYXlc1OsFTWsN0MrPVireObsIXJ3fb9U3tmIR/9Z8MP3nL6u956/fhhK4Az+/9HSfKC+36BoVE418DpiLWL7BF5/DWa2+K7OpyvHZ4PdbmngQAfJSyA/N6jfVwVEREbZvLa8ZcmMe9ZcsWSCQSjB8/HgAQFRWF4uJiV5+eiIjaCIvVio9Td+D941tt2lVSGT4fcSv6h3Rs8rE8ccf6cGku3j66yaZtTs8x6KYJbdZxWtPddovVis35p/Ht6QMOC6ReIBGJMCoiDjNie2FMRBfIJRI3Ruka3la8triuGk/u+gV7i7Ns2n0kUrzcZyJu6dzb6bV3vGEUl8FixsIT2/DftF12tYjUUjnm9RqH2+L6uGRKlrc9BxypNRvxSepOfJG222a00Ffpe3BL594tTlAREVHjXJqM6dWrF77//nsMHjwYX3zxBcaMGQOFon7IY1ZWFkJDHb8AffXVV5t1Hm8fIZOSkoInnngCu3btgkajwaxZs/DKK69A0gZebBIRuUNWtQ5z9/6GfcXZNu1+MgW+HHkb+gZHXXZ/T9+xrjTq8bddv8AsWBvahofF4t6uA6+4rzcUp22uMkMtfso4jB/OHEROTUWj23X2C8KM2F64oVN3hLbyOjDe/GPaX5yNJ3YuR5G+2qY9zi8IHw67CV0DQpx2Lm/6NqTqCvH0nhVIr7C/+TcmIh7/7D8ZESp/D0TmeRarFcvPHcW7x7bYPS8AINhHjeK6aiZjiIhcyKXJmNdeew3Tp0/H//73P6jVaqxbt66h79dff8WgQYMc7rdw4UKbx3V1daitrS/sp1arUV1d/09DpVJBpVJ5dTJGp9Nh/PjxSEpKwooVK3DmzBk888wzsFqtWLBggafDIyLyalZBwJIzB/HvIxvsVjzp7BeEz4bfjM7+Qc0+rjvvWFusVjy7Z6VNUiLYxxfvDL62zRVIPVqWh29O7ceqrBS7mhwXSEQijI/sirvi+2NIaEyrTDa1FoIg4Kv0vXj9yAa7USFTOybhtQFT2mRdEIvVikXpe/DesS12z0OtXImX+07E9Ohk5z/3WslTeXtBBv59eIPDpeMVEikeThiChxKGQCmVeSA6IqL2w6XJmOHDhyMrKwvp6emIi4uzWTnp/vvvR3x8vMP9Lp6+tGvXLtx5551YsGABbrjhBiiVStTV1WH58uV46aWX8P3337vyElrs008/bYjX398fEyZMQGVlJebPn4+5c+fC37993pEhIrqSQyW5ePXQnzhaZl/kdUxEPN4bfF3T61t48E3SG0c2YkPeKZtQ3h18ncNCw03jXVMfBEHA1oIMfJa2C3uKMhvdLtjHF7d27o3b4/q2i9EInv4pVZsMeH7fKvyRnWrTLhWJ8Vzvcbi3y4A2mQjLranAs3tW2k3HAuoTUC/3nYjgZi7XfdU8/SS4xMnyIrx+ZAO2NjJlcErHRDzXaxwifQPcHBkRUfvk8poxfn5+6Nevn137lClTmrT/k08+iRdeeAF33HFHQ5tSqcSdd96JmpoaPPbYYzh48KDT4nW21atXY9KkSTZJl9tuuw3z5s3Dli1bMH36dA9GR0TkfbKry/H+8a34NfOYXZ9SIsPzvcfhjri+LXsj6aY3SV+l78Wi9D02bY8nD8ewsFj3BOBCZqsVq7JS8N+0XQ7vsF/QLzgKd8X3xzVRCW2iFkxjPD0V7mKnK0vw6PZlOFNVatMeplTjgyE3Nqu+UnN5KsEjCAJ+OXcM/zi0FtWXrBKlkSvxz/6TMaVjoktj8KbnwMWK66rx3vEt+OnsEVgd1PHprg3HC73HY1BojAeiIyJqv1yejKmqqsKKFSuQnp4Ovd5+9YQ333zzsvsfP34cHTo4XmIxMjISqampDvu8RVpaGsaOta1GHx0dDZVKhbS0tCYlY9rinSsiokvl1VTgo5QdWHb2iE1tlQv6BUfhzYHT0ekqahh44k3S/9L3YcGhdTZtk6MS8GTySLfH4ky1ZiN+yjiCRSf3ILfWcT0YpUSGa2OScVd8PyRpw90cYfu2KisFz+9bhRqz0aZ9UGgMPhhyfQtGZHkvnaEWL+1fjdU5aXZ9I8I7442B0xDWymsSXY1asxGLTu7Bf9N22U3zBIAOKn8822MMpsckt7kpk0RErYFLkzFnzpzB0KFDUVdXh5qaGoSEhKCsrAxmsxlarRYBAQFXTMZ07doV7777LsaNG9dQ/BcA9Ho93n33XXTr1s2Vl9BiOp3OZnrWBVqtFjqdzv0BERF5mdyaCnyetgtLMw47rDMSpPDF3J5jcGNsz1bxhkEQBHyauhNvH9ts094zMAJvDWp5nRhPLVBTZqjFt6f249tT+6Ez1jncJtRHjXu7DsTtcX3g38Ilkls7d68kZLJa8MaRjfgqfa9d38MJQ/B0j9GQisVujckdtZm25p/BvL2/2xWhVUikeK7XWMyM7++50Toemqd0peK8apkCjyYOxT1dBsCHdWGIiDzGpcmYp556CgMGDMBPP/0EX19f/PHHH+jVqxeWLl2K559/HkuXLr3iMRYuXIgpU6YgKioKEyZMQGhoKIqKirBu3TrU1tZi9erVrrwEr3ClF3QcOUNErdHh0lwsOrkHf+ak2RUXBQC5WIKZ8f3xRPLwpteGaSJXvUkyWix4+cBq/HT2iE17kiYMX4687aoKYnp66kNOTTm+SNuDn84eht5idrhNZ78gPJgwGNfFdIdC4vJBt3SJoroqPLHzF+wvsV1tTC2V481B0zEpKsFDkblOndmEN45sxLen99v1ddeG493B1yHOP9itMXnDy7Gt+Wfw+pGNOOlg6qBEJMIdcX3xRPIIBLmrbg4RETXKpa+Y9u7diy+++KJhRIvRaIREIsEdd9yBkpIS/O1vf8POnTsve4yRI0fi1KlTeO+997Bv3z4cOnQI4eHhuO+++zB79uxGpzB5C61Wi4oK+2HcOp0OWq3WAxEREXmOxWrFutx0LDq5BwdLcxxuIxWJcXPnXng0cRg6OKmQpDveJOXWVGD2rl/tritRE4pvRt8BrULllPO46257qq4Q/03bhVXZKQ6TZQDQO7ADHkocggmR3VrFqKW2aG9RFp7ctRzF+hqb9q4BIfh42E2I9Wv+amPO4qrBQcfK8vHM7hV2NXHEIhH+L3EoHk8a4RX1idw5LiatvBCvH9mIbY0U5x0f2RVze45xe4KKiIga59JkjF6vh7+/P8RiMQIDA5GXl9fQ1717dxw5cuQye/8lIiLiitOZvFVCQgLS0mznMGdnZ6O2thYJCW3vThURkSPVJgN+OnsE/0vfh+yacofbSEQi3NSpJx5LHo4oX41L43H2m6Q12Wl4ft8qVJpsa6MNCe2Ej4fd1KIpO+7McQiCgN1FmfgsbVejb+oAYHREHB5OGIoBIR05OvM8d38fzFYrPkrZjg9TttsVZb0upjsW9J8MlVTu1pgA147kMlut+DR1Jxae2GZXVyparcU7g65F3+Aol53fG+XVVuK9Y1vwy7mjDv+u9dBG4IXe4zEwNNrtsRER0eW5NBnTtWtXZGbWL3PZp08ffPrpp5gyZQokEgkWLVrk9aNanGHy5Ml46623UFVVBT+/+uJxS5cuhVKpxKhRozwcHRGRa+XVVOB/p/ZjScYhuxVOLlBL5bilc2/c03WAy5IwrnqDWGGsw+tHNuLHjMN2fTfH9sKr/SZ7xR36K7EKAtblnsSnqTsdLiUO1CfLpkcn46GEIeimCXVzhHSxvJoKPLV7hd20JJlYjL/3noC74vu1uSRZZrUOz+xegUOluXZ9t3TujRd7T4CvzP3Jp4u5c0phpVGPT1J34uv0vQ5rbUWqAvBszzGYFp3EUWtERF7KpcmY2267DYcPH8bMmTPxz3/+s2GJZ7FYDIvFgq+//rpJx1m6dCk+//zzRldkKipqfElNT3vkkUfwwQcf4MYbb8S8efOQkZGB+fPn4+mnn7ZZ7pqIqK0QBAEHSnLwzan9WJOT2ugUlw4qf9zbdSBuie3l9JowrnZhGd1/H9mAMkOtTZ9CIsWLvSfg9rg+LnlD7MxRPRarFX/kpOKjEztwqrLY4TZKiQy3du6N+7sNQqSTpo21B66aotLYKKxwpR8+HHoT+gRHuujMzeeMKXWCIOCns0fwz0Nr7VYEClSo8O8BUzE+smuLz+MKrpimZbCY8e2p/fg4dQcqjPavif1kCjyWNBx3d+nP+k1ERF7OpX+ln3766YavBw8ejOPHj2P16tXQ6/UYO3YsunfvfsVj/PDDD7j//vtx7733YuPGjbj//vthtVqxcuVKaDQa3H333a68hBbTarXYsGEDHn/8cUyfPh0ajQZPPfUU5s+f7+nQiIicqtpkwIrM4/j+9EGHxSMv6BXYAQ90G4RJUQluX93lgpa8STpVUYxXDqzBnuIsu74u/iH4z5DrnTpyxBV3281WK1ZmHscnqTuRcUndjQsCFSrc3aU/7orv57R6N22Zq8ceVBn1eO3wevx41n6K98TIbvj3gKnQKJQujuLKnJl/LDPU4oV9q7AuN92ub2yHePx7wFSvWqrblc8BqyBgZeZxvHtsi8Ml5WViMe6K749Hk4YhkL+vREStgltT5h07dsRDDz3UrH3eeustvPTSS3juuefw3//+F48++ij69u2LqqoqTJgwASqV9//DSUpKwsaNGz0dBhGRS5wsL8IPZw7il3PHUGM2OtxGLBJhYmQ33N9tEPoGRbp9CoUzzlZrNuLDE9ux6OQeu3oVIgB3xffHvF5jr2rFpOZoyZLJRosFv2YewycpO5DVSO2eKN8AzOo2GDNie7n8WtoyZy5tvTX/DJ7ftwoFdVU27fWjsMbj9ri+XjktqSXfgW0FGZi75ze7pZlVUhn+3nsCbu3c2yuv+WLOKra9vSADbx7ZiBPlhQ77r41OxtM9RqOjWuOU8xERkXu4JRmTnp6OnJwch1OMpkyZctl9T506hWHDhkEikUAikaCyshIA4Ofnh3nz5uGpp57Cs88+65K4iYjIsUqjHr9nncBPZ480WmMEAHylctwc2wv3dh3oVW8UmvsmaX1uOl49uNbhHelkbTj+2e8a9ApyzfQQZ7zdNFutWH7uKBae2Ia82kqH28T6BeKxpOGYHp3ssRFLrZkrRjBVGvX4dyOjYboGhOD9wc4dheUMLf0+GCxmvHV0E75K32vX1ycoEm8Puhad/AJbdI7W4oSuAG8e2YjthWcd9g8J7YR5vcaiR2CEmyMjIiJncGkyJiUlBbfddhtOnDjh8A6RSCSCxWJfdOxi/v7+MBjqiz5GRkYiNTUVo0ePBlB/16m01PHwaiIici7r+ZV2lp09gjU5aTBYzI1u2y0gFHfG98V1Md2hlincGKVjV3sHPaemHP88uBbr807Z9allCjzTYxTujOsHiZcmLwRBwNrck3jn6Ga7ZYAv6OIfgseSh2FKVKLXXkd7Yz1fk+h1BzWJAODuLv0xr+dY+LSxkUsny4vw1O4VdtMcJSIRHk8ajkeThnt1otBZI3Vyayrw7rHN+DXzuMP+hIBQzO01FiPDO3v96CAiImqcS5MxDz/8MAwGA5YvX46kpCTI5c2vcj9gwAAcPXoUkyZNwrXXXotXX30VUqkUcrkcr776KgYPHuyCyImICKh/M39Ml4/fs1KwKivFbprExWRiMa6JSsRd8f3QLziqVb9JMFkt+PLkHnxwYhv0DpJO10Yn44Xe4xGidH+9iqaO6dlblIU3j250uPoMACRqQvF40ghMjOrG1VZc4GonqKSVF+LlA2twoCTHri/aV4PXB07DoNCYlgXnJk2dqmUVBPzv1D68eWSj3cpA0b4avDP4ula5ZHVznwPlhjp8nLoD357a73CFpAiVP57uPgrXxXRn4pSIqA1waTLm0KFDWLJkCaZNm3bVx3j++ecblsd+9dVXkZmZif/7v/+D1WrFgAED8NlnnzkrXCIiOu9keRF+z07B71kpyKrWXXbbzn5BmBHbEzfF9vSqYpqXc7k3SfuKs/DS/jUOVxfq7BeE+f0mYVhYrOuCu0Rzk1q5NRV4/cgG/JGd6rA/WRuOvyWPwNgOXVp1wszbtPRbWWXU4/3jW/Ht6f12K5CJANzdZQCe7TkaKqlnl2++kuZ+H4rqqjB37+/YVpBh13dTp554ue9Erxhd1xRX+xTQm03436n9+DR1p90qWQDgL/PB/yUNxT1dBnCFJCKiNsSlf9Hj4uIc1olpjsGDBzeMftFoNFixYgUMBgMMBgOXhiYichJBEJBeUYy1uSexKiu10WWOL/CVyjG1YyJmdO7tkYK8zdWU6MoMtXjjyAYsO3vUrk8hkeKxpGGY1W2w174Z0ptN+PzkbnyautPhaJ4YtRbP9BiNyR0TORLGi1jO1/N559hmFOtr7Pq7a8PxqgtrEnnSnzlp+Pu+P6Az1tm0B8h9sKD/FEzpmOihyNzDYrXi18zjeO/4FuQ7qOUkF0sws0t/PJo4zCtWyiIiIudy6SvKd955B3PnzkXfvn3RuXPnZu+v1+sREBCApUuX4vrrr29oVygUUChax10SIiJvZbZacaAkG+tz07E+N73R1XUuEItEGBLaCddGJ2Nyx0T4yrz7Dv3lXDp94resE/jHgT/t3hQCwKiIOMzvOwnRaq27wrssR6N61uacxIJD6xwWGA7x8cWTySNwc+fekIklrg+QADStSPT2ggz8+/AGpDlYCj5A7oNne4zGrZ37tNopKY19B3SGWvzj4Fr8lnXCrm9waAzeHnQtIlSt/4ZbY9O0BEHA1oIMvHFko119HKA+eXxdTA883WMUIn0DXBwlERF5itOTMQMGDLC5Q5qbm4uEhAR06tQJGo3Gbvu9e+2r5V/g4+OD0NBQSKXeeReSiKi1qTEZsb0wA+ty07E577TD5MOl+gd3xLToJEzumNBqpiE1VYWxDq8c+NPhm8IwpRov95mESVHdPDry53JnLtXXYP7BPx1OSZKLJXgoYQgeThzi9VNb2oLmPENOlhfh9SMbsNXB1BwAuDm2F+b0HIMgH1/nBOdGV1pN6c+cNLy0fw1KDbajgGRiMZ7uMRqzug1u0yO3jpfl4/UjG7Gr6JzD/hHhnTG35xgkacPdGxgREbmd07McycnJNi9ak5OTW3S8hx9+GB988AEmTZoEmaxtrRpAROQOxXXV2JB3Cutz07Gj8KzDwpCX6q4Nx7ToZEyNTkKHNnCH2pF9xVmYvetXu6LEYpEI93QZgNndR3pnrQpBgCAI+CM7FfMP/ulwtZ2Jkd3wQu/xXrWceHvjaFBERmUpPk7dgRWZx2F1sEF3bThe6TupVRarvZIyQy3+cfBP/J6VYtcX7x+Mdwdfh+Q2nIAoqK3EO8e24JdzRx2OGErShGFer7EYHt78keRERNQ6OT0Z8/XXX6Ourg5//PEHzp07h/DwcIwfPx5hYWFXdbzy8nIcP34cnTp1wrhx4xAWFmaT7BGJRHjjjTecFT4RUZtgslqw6OQerM9Nx+HS3CtOmBCLROgXHIXxHbpifGRXdPILdEucnvLd6QNYnZ0Ks2C1aU/UhOKNgdO97E2h7SiBEn0N/nV4PdbkpNltGecXhJf7TuQbOg+43IiQ9IpifJSyHauyUhz+LnZQ+ePZHmMwPSa51Y8KuTR6QRDwW9YJLDi03m40jFgkwkMJQ/Bk8givrcXUHI5G0NWajfgibTf+m7YbdRaTXX+kKgDP9BjdJn72RETUPE7/z5eRkYHx48cjMzOzYa6sv78/fvzxR0ycOLHZx/v5558b6sNs27bNrp/JGCIie1KRGD9mHEbmZVZCUkpkGB4ei/GRXTG2QxcEKlRujNC9Ln2TdOm0JBGAhxKG4G/dR3r9m8Ib1n9l1yYRifBw4lA8njTc6+NvLwQI2FOUia/T92Ft7kmH26hlCjyaWL9Kjo+0bY7+vW/rEocrJcX7B+PNgdPaZGHiC34+dxRP7jqNwrpqu74AuQ8eSxqOu+L78XeWiKidcvpf/7lz50IsFmPr1q3o168fzp49i0cffRQPP/wwzp492+zjXc0+RETtnUgkwvjIrlh0co9Ne5DCF+Miu2BCZFcMDe3UZt8ANkeYUo33B9+AgaHRng7lqnQLCMUbA6ehR2CEp0Ohiyw6ucfu9+8ChUSK2zr3wWNJw1plXZjmuDQR09ZGw1zOjxmH7dpkYjFmxvfH48nDESDnCklERO2Z0/8L7tq1C++88w6GDRsGAEhMTMRnn32GxMRE5OfnIyLiyi8Wv/32W9xxxx2QSJq+6sPp06eRn5+PESNGXHXszna5go8xMTE4d+6c+4IhonZnwvlkTJxfEMZH1k8/6h0U2S6Hwjd2xf2Co/DR0JsQovTewsSN/bikIjEeTRqG/0scBnkz/l+SizTh10opkeGO+L54sNtgr37Otchl/r4kakLxWv+p6BnUwY0Buc+VngITI7thbq+xiG3j00CJiKhpnJ6Myc/Pt1vGOi4uDoIgoKCgoEnJmHfffRcvvfQSZs6ciRkzZqBXr14OtystLcWaNWuwZMkSbNq0CV9++aVTrsFZdu3ahSFDhuCZZ57BjBkzAAALFy7Exo0b8csvvzT5OJ5cxYOIWq++QVFYN/kRdPYP8nQoXumGTj3wWv+prTKREa3W4j9DrkfPwLb5pratUcsUmBnfD/d1HdjmR8I4opTIMLv7SNzbdSCkrXSZ7pZI1oThhT4TMDg0xtOhEBGRFxEJgqN6/1dPLBZjz549GDBgQEObxWKBTCbDgQMH0KdPnyYdZ+nSpVi4cCF27twJtVqNxMREBAcHQ6FQoLy8HGfPnkVWVha0Wi3uuusuzJkzB5GR3jfvWCQSYeHChXj88ccBAM8++yyWLVvWrFExTU3GOPlHSUREREREREQu4JLJupMmTYJUan/ocePG2bUXFRU5PMatt96KW2+9FWfOnMH69etx8OBBFBQUoKamBmFhYRg5ciSGDRuG0aNHe8WS14IgwGL5a7lYkUjUrGlWVzo2EREREREREbUNTk/GvPLKK049XlxcHOLi4px6TFfYsmULxowZ0/B41KhR2Lx5s+cCIiIiIiIiIiKv5PXJmNaiX79+2LdvX8NjPz8/D0ZDRERERERERN6qba8p6EZ+fn7o37//FbcTt8PCdURERERERET0F2YG3CwwMBD5+flYs2YNjEajp8MhIiIiIiIiIjdjMsbNrr32WoSEhGDy5MkoKyvzdDhERERERERE5GZOX9qaiIiIiIiIiIgax5ExRERERERERERuxGQMEREREREREZEbMRlDRERERERERORGTMYQEREREREREbkRkzFERERERERERG7EZAwRERERERERkRsxGUNERERERERE5EZMxhARERERERERuRGTMUREREREREREbsRkDBERERERERGRGzEZQ0RERERERETkRkzGEBERERERERG5EZMxRERERERERERuxGQMEREREREREZEbMRlDRERERERERORGTMYQEREREREREbkRkzFERERERERERG7EZAwRERERERERkRsxGUNERERERERE5Eb/DwbuVuUDXwxmAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Set and example IMF\n", "imfi = FIG1DEXAMPLEIMF\n", "characteristic_frequency = hht.characteristic_frequency[imfi]\n", "color = imfcolors[imfi]\n", "\n", "# Only show for a few cycles of the example IMF\n", "t0, t1 = 300, 420\n", "i0, i1 = pupil_tpts.searchsorted([t0, t1])\n", "\n", "# Get instantaneous phase, frequency, and amplitude\n", "phase = hht.phase[i0:i1, imfi]\n", "freq = hht.frequency[i0:i1, imfi]\n", "amplitude = hht.amplitude[i0:i1, imfi]\n", "\n", "# Set up axes\n", "fig, axs = plt.subplots(3, sharex=True)\n", "\n", "# Plot phase\n", "axs[2].plot(pupil_tpts[i0:i1], phase, color=color)\n", "axs[2].set_ylim([-np.pi, np.pi])\n", "axs[2].set_yticks([-np.pi, 0, np.pi])\n", "axs[2].set_yticklabels(['-'+u'\\u03C0', r'0', u'\\u03C0'])\n", "axs[2].set_ylabel('Phase\\n(rad.)', rotation=90, labelpad=12)\n", "\n", "# Plot frequency\n", "axs[0].plot(pupil_tpts[i0:i1], freq, color=color)\n", "axs[0].plot([t0, t1], [characteristic_frequency, characteristic_frequency], ls='--', color='gray')\n", "axs[0].text(t1 - 20, characteristic_frequency + 0.025, '%.3f s$^{-1}$' % characteristic_frequency, color='gray', fontsize=LABELFONTSIZE)\n", "axs[0].set_ylim([0, 0.15])\n", "axs[0].set_yticks([0, 0.15])\n", "axs[0].set_ylabel('Freq.\\n(Hz)', rotation=90, labelpad=5)\n", "\n", "# Plot amplitude\n", "axs[1].plot(pupil_tpts[i0:i1], amplitude, color=color)\n", "axs[1].set_ylim([amplitude.min(), amplitude.max()])\n", "axs[1].set_yticks([amplitude.min() - 0.0005, amplitude.max() + 0.0005])\n", "axs[1].set_yticklabels([])\n", "axs[1].set_ylabel('Amp.\\n(a.u.)', rotation=90, labelpad=18)\n", "\n", "# Remove axis lines\n", "for ax in axs:\n", " ax.set_xticks([pupil_tpts[i0:i1].min(), pupil_tpts[i0:i1].max()])\n", " ax.xaxis.set_visible(False)\n", " ax.set_xlim([220, 520])\n", " clip_axes_to_ticks(ax=ax, spines=['left'])\n", " ax.spines['bottom'].set_visible(False)\n", " \n", "set_plotsize(w=14, h=2)\n", "fig.savefig(FIGUREPATH + 'hsa' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "df04182e-2570-48e1-8794-6df6ba74d906", "metadata": {}, "source": [ "### Figure 1D3\n", "Frequency-power scatter plot for all extracted CPDs. Components from example decomposition are plotted with color." ] }, { "cell_type": "code", "execution_count": 12, "id": "b8651ead-902f-430b-8ce7-35fdf991063b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: hht_spontaneous.pkl\n", "Loading: hht_sparsenoise.pkl\n" ] } ], "source": [ "# Load HHT data from gray screen and sparse noise experiments\n", "conditions = ['spontaneous', 'sparsenoise']\n", "df_hht = load_data('hht', conditions).set_index(['m', 's', 'e'])\n", "\n", "# Get frequency and power values for all IMFs\n", "freq = np.concatenate([row['frequency'] for idx, row in df_hht.iterrows()])\n", "power = np.concatenate([row['power'] for idx, row in df_hht.iterrows()])\n", "\n", "# Get frequency with peak power from each decomposition\n", "peak_freq = df_hht.apply(lambda x: x['frequency'][x['power'].argmax()], axis='columns')\n", "\n", "# Get frequency and power values for the example\n", "key = FIG1DEXAMPLEKEY\n", "freq_ex = df_hht.loc[key2idx(key)]['frequency']\n", "power_ex = df_hht.loc[key2idx(key)]['power']\n", "\n", "# Log-transform all frequency values\n", "freq = np.log10(freq)\n", "peak_freq = np.log10(peak_freq)\n", "freq_ex = np.log10(freq_ex)" ] }, { "cell_type": "code", "execution_count": 13, "id": "e11bba5e-f3b1-430e-8d0e-f81db244e29e", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot IMF frequency versus power\n", "fig, ax = plt.subplots()\n", "\n", "# Scatter plot all IMFs\n", "ax.scatter(freq, power, fc='gray', ec='white', alpha=0.5, s=10)\n", "\n", "# Plot data from example decomposition\n", "color_vals = 1 - np.linspace(0.1, 1, len(freq_ex)) # sample from color space for example IMFs\n", "imf_cmap = COLORS['imfs']\n", "imfcolors = imf_cmap(color_vals)\n", "ax.scatter(freq_ex, power_ex, fc=imfcolors, ec='white', s=20)\n", "\n", "# Set x-axis ticks and labels\n", "xticks = np.arange(-4, 2, 2, dtype='float')\n", "xticklabels = ['$10^{%d}$' % tick for tick in xticks]\n", "ax.set_xticks(xticks)\n", "ax.set_xticklabels(xticklabels)\n", "ax.set_xlim(left=-4.15, right=0)\n", "ax.set_xlabel('Inverse timescale (s$^{-1}$)')\n", "\n", "# Set y-axis ticks and labels\n", "yticks = np.arange(0, 1, .2)\n", "yticklabels = [int(100 * tick) for tick in yticks]\n", "ax.set_yticks(yticks)\n", "ax.set_yticklabels(yticklabels)\n", "ax.set_ylabel('Power (% total)')\n", "\n", "# Illustrate distribution of frequencies of IMFs with highest power with boxplot\n", "ax_freq = ax.inset_axes([0, 0.85, 1, .25])\n", "ax_freq.boxplot(peak_freq, vert=False, usermedians=[np.nan], showfliers=False)\n", "\n", "# Clean up inset axis\n", "ax_freq.set_xticks(xticks)\n", "ax_freq.xaxis.set_visible(False)\n", "ax_freq.set_xlim(left=-4.15, right=0)\n", "ax_freq.yaxis.set_visible(False)\n", "ax_freq.set_frame_on(False)\n", "\n", "clip_axes_to_ticks(ax)\n", "fig.subplots_adjust(top=0.75, right=0.75)\n", "set_plotsize(w=2, h=2)\n", "fig.savefig(FIGUREPATH + 'imfpower' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "b87f4851", "metadata": {}, "source": [ "### Figure 2B\n", "Plot example component of pupil dynamic together with its phase, and burst and tonic spiking." ] }, { "cell_type": "code", "execution_count": 3, "id": "e47b0eb7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: pupil_spontaneous.pkl\n", "Loading: pupil_sparsenoise.pkl\n", "Loading: spikes_spontaneous.pkl\n", "Loading: spikes_sparsenoise.pkl\n", "Loading: phasetuning_spontaneous.pkl\n", "Loading: phasetuning_sparsenoise.pkl\n" ] } ], "source": [ "# Load spike and pupil data for gray screen and sparsenoise experiments\n", "conditions = ['spontaneous', 'sparsenoise']\n", "df_pupil = load_data('pupil', conditions)\n", "df_spikes = load_data('spikes', conditions)\n", "df = pd.merge(df_pupil, df_spikes, on=['m', 's', 'e']).set_index(['m', 's', 'e', 'u'])\n", "\n", "# Load phase coupling data for gray screen and sparse noise experiments\n", "df_coupling = load_data('phasetuning', conditions).set_index(['m', 's', 'e', 'u', 'imf'])" ] }, { "cell_type": "code", "execution_count": 4, "id": "093c347c", "metadata": {}, "outputs": [], "source": [ "# Get example experiment\n", "idx = key2idx(FIG2BEXAMPLEKEY)\n", "\n", "# Get pupil size data for example experiment\n", "pupil_area = df.loc[idx]['pupil_area']\n", "pupil_tpts = df.loc[idx]['pupil_tpts']\n", "pupil_fs = 1 / np.diff(pupil_tpts).mean()\n", "\n", "# Apply Hilbert-Huang transform to example pupil size trace\n", "hht = HHT(pupil_area, pupil_fs)\n", "hht.emd()\n", "hht.hsa()\n", "\n", "# Get color for example CPD\n", "imfcolors = hht.get_imf_colors(cmap=COLORS['imfs'])\n", "imfcolor = imfcolors[FIG2BEXAMPLEIMF]\n", "\n", "# Get time range to plot\n", "t0, t1 = FIG2BEXAMPLETRANGE\n", "t1 += 30\n", "i0, i1 = pupil_tpts.searchsorted([t0, t1])\n", "\n", "# Get tonic spike and burst times\n", "spk_times = df.loc[idx]['tonicspk_times']\n", "spk_times = spk_times[(spk_times > t0) & (spk_times < t1)]\n", "burst_times = df.loc[idx]['burst_times']\n", "burst_times = burst_times[(burst_times > t0) & (burst_times < t1)]" ] }, { "cell_type": "code", "execution_count": 6, "id": "fc0c112b", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(3)\n", "\n", "# Plot the CPD and its phase\n", "axs[0].plot(pupil_tpts[i0:i1], hht.imfs[i0:i1, FIG2BEXAMPLEIMF], color=imfcolor)\n", "axs[1].plot(pupil_tpts[i0:i1], hht.phase[i0:i1, FIG2BEXAMPLEIMF], color='gray')\n", "\n", "# Plot tonic spikes and bursts\n", "for spk in spk_times:\n", " axs[2].plot([spk, spk], [0.25, 0.75], lw=0.25, color=COLORS['tonicspk'], alpha=0.5)\n", "for spk in burst_times:\n", " axs[2].plot([spk, spk], [0.1, 0.9], lw=1, color=COLORS['burst'], alpha=0.75)\n", "axs[2].set_ylim(bottom=-0.25, top=1.25)\n", "\n", "# Add scale bar for time\n", "axs[2].plot([t1, t1 - 10], [-0.1, -0.1], color='black')\n", "axs[2].text(0.865, -0.25, '10s', fontsize=LABELFONTSIZE, transform=axs[2].transAxes)\n", "\n", "# Remove axes and ticks\n", "for ax in [axs[0], axs[2]]:\n", " ax.set_frame_on(False)\n", " ax.xaxis.set_visible(False)\n", " ax.yaxis.set_visible(False)\n", "\n", "# Format axes\n", "axs[1].xaxis.set_visible(False)\n", "axs[1].yaxis.tick_right()\n", "axs[1].set_yticks([-np.pi, 0, np.pi])\n", "axs[1].set_yticklabels((['-\\u03C0', '0', '\\u03C0']))\n", "\n", "clip_axes_to_ticks(ax=axs[1], spines=['right'])\n", "fig.subplots_adjust(hspace=0)\n", "set_plotsize(w=6, h=2)\n", "fig.savefig(FIGUREPATH + 'phase_coupling_schematic' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "55f427ae", "metadata": {}, "source": [ "Plot the phase coupling of the example neuron and CPD." ] }, { "cell_type": "code", "execution_count": 7, "id": "c451cf8c", "metadata": {}, "outputs": [], "source": [ "# Get tonic spike and burst phases\n", "spk_times = df.loc[idx]['tonicspk_times']\n", "burst_times = df.loc[idx]['burst_times']\n", "spk_is = pupil_tpts.searchsorted(spk_times) # spike indices\n", "burst_is = pupil_tpts.searchsorted(burst_times)\n", "tonic_phases = hht.phase[:, FIG2BEXAMPLEIMF][spk_is] # phase at spike indices\n", "burst_phases = hht.phase[:, FIG2BEXAMPLEIMF][burst_is]\n", "\n", "# Get phase coupling data for example neuron\n", "idx_imf = idx + tuple([FIG2BEXAMPLEIMF + 1]) # add IMF to index\n", "tonicspk_phase = df_coupling.loc[idx_imf, 'tonicspk_phase'] # preferred phase of tonic spikes\n", "tonicspk_strength = df_coupling.loc[idx_imf, 'tonicspk_strength'] # strength of tonic spike coupling\n", "tonicspk_p = df_coupling.loc[idx_imf]['tonicspk_p'] # p-value of tonic spike coupling\n", "burst_phase = df_coupling.loc[idx_imf, 'burst_phase']\n", "burst_strength = df_coupling.loc[idx_imf, 'burst_strength']\n", "burst_p = df_coupling.loc[idx_imf]['burst_p']" ] }, { "cell_type": "code", "execution_count": 8, "id": "dd515d1b-2af7-4af9-8545-5ae15ff69c46", "metadata": {}, "outputs": [ { "data": { "image/png": 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PfN/+LdywNlxAPgz1wdx+rcDl1v5S6Ny5c3jrrbcwYMAAbN++neaJpjRd8fnnn38QFhaGnj17YufOnQaFTEgvXEDaJ9NZ+zRcsRhuP3wPi65dde6HEIIsqbJkefRqqSRDXlomht88in5Pr4CL8v9VZ91ew88BA5ErMsyfZkBbZ3wzvCNEgtrdDCaEYMWKFViwYAE2bdqEcePG1erzKPWfJik+MpkMAwcORGJiIi5cuAAfHx+9+yg8cQJps+cApYr5cW1s4PHjJojat9epD0IIvjn9AFtjkiBVVl0U0Dc/FR/dOoA2uU/LXZPxzPFrq9441OJ1qM14EJhx4WEvhpe9GF72FvBsZgFvewtIxHx8Gn0Lt9PYM6kObjb48YPOcLSq3WDZ4uJivPXWW7h9+zb+/PNP+Pr61urzKPWbJic+hBB8/fXXWLhwITZv3ozIyEi9+8jfH430RYsAhimxmdnbw+PnzRC2aqVzP9HXUzFzj+4BphzCoGfKDYy7cxR2Smm561pXN1jOngv3/r1hVslSSqbS4ONf/8GZu+wTueYSETZHdoa/c+2GRNy8eRN9+vRBSEgIfvvtN7r8asI0OfG5d+8e3njjDbzxxhvYuXOn3n/8uTt2InPpUpaN5+ICj583w9zbW+d+MgsV6PPNRRQqKp/xCHhceNqJ4WlvAS97MVyt+XCzEcBNoIV4707I9+xhzbxeYvnmm3Ca/ykEnp4V9qtlCJYfv4uf/nrCbmfOw4ZRnfBmK8NcDXSBEIJVq1Zh/vz52LVrF0aMGFFrz6LUb5qU+Gg0GkRGRuL48eO4dOkS/P399Wr/fOMmZK9dy7LxPTzgueVn8Js317kfQgjGbbuKc/eySmxe9mL0aeMEr2YW8LAVwUFIYM7IIS0sRH5+PgoLC6EtE47Bz86G4+EjsHjwoNwzOHw+7CIj0ezDSeBWEiKy4/JTLD58B1rm1Z8AlwN8PjgA73f30vn96EtxcTHefPNNyOVy/Pnnn7C1ta21Z1HqL01KfM6fP4/+/ftj1qxZ+Oqrr3R2eCOEIHvtt8jZtIllN/fzhfvmzeDr6ZS492oK5uy7VfJaYMbFkWkhcDTXIjk5GWlpaVCr1eXaCYVC8Hi8Ek9hhmGg1WjAvX4dzQ4fgaC0j9G/cJrZw3nePNgMGlTh+/3jQTam7Lxebs9pTIgXFg5sU+nyraYcP34cQ4YMweLFi7Fw4cJaeQalftNkxEelUiE8PByPHj1CTEyMzikyCMMgc9ly5O3YwbILAwLg/tOP4On5rZ1eIEffb/5gfdgndXdGdxspCgoKSmxisRgSiQQSiQQ2NjaQSCQQCAQV9qnVapGflYXcrdug/u03cCrwkua8+Sa8V66AeQVpLh5kSjFmSxzS8uUsey9/R3w3shMszHl6vUddUKlUGD58OK5du4a4uDhaDaMJ0mTE58SJExg4cCBWrFiB2bNn69SGaLVIX7gIBQcOsOyiwEC4//A9zPSM/yKEIHJLHC4+yC6xeVtzMK2NGmYcQCAQwN3dHe7u7ganolBnZCBr1WoUHjtW7prSxQUWX3wO3x49ys2CsqVKTNh+Ff+k5LPsbVyssTmyM1xsjB8YeunSJYSFhWHWrFlYunQpDb1oYjQJ8VEoFAgPD0dycjIuX76s0x4DUamQNncepCdOsOwWwcFw27AeXLFY73HsjkvGvP3xJa95HII57bXwdbSEj48P3N3djRZ8KYuLQ8ZXy6C8d49l1wqFKB4/DgGRkeWi9hVqLWbtuYlj8eksu5O1OTZ/0AVtmxs3N49Go8F7772HixcvIi4uDu4NNI0IxTCaRA7nK1eu4Pz585g0aZJOwsMoFEid9nE54bHs1QtuP3xvkPCk5cux9Cg7t89AD4Kwzm0QFhYGLy8vo0Z9i7t0gffePbAd/T7LbqZQwHrD/3Bz3qd4eP8+Sn/3CPlmWD+yE6b0ZPs9ZRYqMeyHWJy6k2G08QEAj8fD7NmzkZeXh+3btxu1b0r9p9HPfLRaLd5//31cvHgRN27cqDZiXVtUjNQpUyD7+2+W3XrQILguX2ZQqlNCCN7ffAV/JT4vsflIuNj/UQgkNrWfarTg6DGkL1oEImfv6RS3bAnFRx+iS1hYOZeDvVdT8NmBeKi1r/48OBxgwX9aY1wPb6MtkdRqNQYNGoS0tDTExMTQzIdNiEY/83ny5AmOHz+Od955Bw4ODlXeqy0oQMq4ceWERzJ8OFxXfG1wjuVfrySzhIdvxsEPkXUjPABgM2ggvHb/Vs7vx+LBA1h/8QX+/vVXyMsI07DO7tg+thtsRK/eMyHA0mN3sfDgbai1DIwBn8/HxIkTcefOHRw/ftwofVIaBo1WfOTxt5G1bh22fvstlEolxoQPrvLbWpOTg6cfRJYraWMXGQnnz5eAY+CSKCWnGF8cuc2yze3nD79a9iQui7BlS3jt2wvL3r1Ydn5ePuxXr8H1VavKCVB3H3tETw6Gpz17mbnz72SM3RqHQkV5dwBD6Nu3LwICArBjxw5oKnCapDROGt2yS/n4MdLnfwb5zZtQ2dtjvEoJawsLrMvLh6W/P1yWL4d5C7YnsjozE8ljxkL1+DHL3mzKFDSbOsXgJQbDMBiy9gzis199SAM9bbFnUvda85+pDsIwyPlpM7K//ZYVHgIAxSHBCFi7FqIyx/G5xSp8+Ms1XEli+xG1dLLE5g+6wN1O/z2wssybNw/ff/89rl27Bj8/vxr3R6n/NKqZj/LxYzwd9V7J7CXV1wc3btxAv+ZuMFMqIb95E09HjYKyjMikL1xUTngc586Fw7SpNdrbWHXgMkt4zHlcrBra3mTCAwAcLhfNJk6Ax08/wqzM5rtFzCU8HDoMijIpYO0sBPhlfFe83Yntxf0gswhv/18MbiTn1Xhc//3vf6FUKhEdHV3jvigNg0YlPunzP4M2P7/k9Um5HFZWVuhRajmhzc9H+vzPWO2U9++zXjsvWQL7sWNqNJYbD5Kx+Rp7pjCnXyu0cKgflRwsgoPhvX8fhO3asez85GQ8ficCRTExLLs5zwzfDO+AmX3YqVyfF6nw7qbLOHaLfTyvLy1btkTnzp1x7NgxuvRqIjQa8ZHH32bt12gsLBDz6BG6dekCm0R2RkD5zZuQ375T8ppX2tvZzAySiHdqNBalUoVPo29Dxbya4XTxssWYEN0DT+sCvqsrPHfugKRMcCdHKkXK+Al4/sNGkFJLMw6Hg497+WHdux0hMHv1p6PUMJiy6zo2/cGu1qEP5ubmCAsLw/Xr1/Hs2TOD+6E0HBqN+EjPnWW9zvH1xe3bt9HdxQVclar8/WfPlPybVSNLq4U6vWbf4qsPXcH9/NL+M1ysGtrBpMutyuAKBHD5fAlcvvoKnNLhG4Qg+9tvkTplKrRlMikO6dgcuyZ0g50FO9xj2fF7SHhWPuuirgwaNAhyuRynTp0yuA9Kw6HRiA9TKi4KAC6LhGAYBiGaivMYMwWvPiT8Mp61quSUsrfrzPX7ydj2Tz7LNq+/P7yaGVZ8sK6QRLwDz193gVcmOr/o/Hk8GTYMivvsyPnOXnY4MDkYPg7s9xWflm/wGFq3bo2WLVvi5MmTaGTnIJQKaDTiwy3lnEYAXMnJQatWreD4qOKlALeUj43Agy0+6lTDxEej0WLeAfZyq6u3HT6oxfQUxkQUEIAW+/dBEBTEsqufJiNpxAgUHGXHi3naW2DJ4ACWLSWXfVyvD1ZWVggMDER8fDwryJbSOGk04mMV9sp/RW1vj/uPH6NNixbgl9qAZt3fq3fJv40181l/4hYellpuifhmWDW0fZ0kaDcWZhIJWvy8GZqICJadKBR4NnduOT8ojzLH7Mm5MhgKh8NB165d8ejRI2SWqX1GaXw0GvERtWsLUYcOAIBiFxckJiairURS8b0dOkDU9tU3tsCDXQFCnZKs9/Of5cvw/SX2RumnA/zhaV+/l1sVweFy4fXpPKRFRkJbuswxw0Aez3aYdJWIUFpbU/IMFx8A6NGjB7RaLWJjY2vUD6X+02jEBwBcli+HmUSCBHNzqFQqdKggHMJMIoHL8uUsG8/RkbXZqkpJ1fvZZ+NToCrlsxfUwg7vB1WcxrQhYGVlBaueb6LwtddY9rIhGnwzLivdRkoNZj4A4O7ujubNm+Pq1as16odS/2lU4mPewhueu3YiUcCHRCKBay7b+U3UsSM8d+0q5+HM4XLBL1XITp2crPeGp6Y4n/W6q5ddg1puVYSnpyeEaWwhFrVrW+6+0kuv50UqyFSG++lIJBJ4eHjg4cOHYBjjxI9R6ifGT1FnYsxbtECSXI7mzZvDuVcY+J06gWtjDatevVlLrbII3N1LvJwZmQza3Fzw7O11eibDMEDRc5atJnsf9QUHW1vkpL1aSvI9PWBWwVLW3U6E2FIO4im5crRy1i/RWskz+Hx4e3vj+vXrkEqlNMq9EdPoxEetViMlJQVubm5wm6J7XBa/3L5Pis7iI5VKYW2mAQe8krJ+jUF81I8egVsql7SoXcX1yCradDZUfADAz88Phw8fhlwup+LTiGlUyy4AUCqVyMjIgLu7u15xWQJ3dv1wVYruJ175+fngcQF78atfZ3INjpzrC/Jb8azXovbtKryvbGBpTfd9PD09IZVKkZdX85ix6khISECvXr0gFovh6uqKqKioclVCKLVDoxMfhUKB/Px8nRPEv6T8cbvuJ175/x7nN7d5lZDreZESxdVUIa3vyONvsV5XVom1rPjUdNbn9u/+W4oeXwCGkJeXh969e4PD4eDQoUOIiorCmjVrsHjx4lp9LuUFjW7ZJZfLUVBQUG3GwrKUO27Xw9fnpfh42VviZvqrGU9KnqzWK4DWJopSMx/C5cKsklQXZZddqTU8bm/+r5d1aqr+p4768MMPP0AulyM6OhrW1tbo06cPCgsLsWTJEsydOxfWFVT6oBiPWpv5LFmyBBwOp9KfrVu31spzMzMzodVq9S7FUrbon0rHP3yGYVD4b+yTjzN7fyI5x7j7PjKZDKdPn8b69euxdu1aHDhwAFlZWdU3NABtUTGUpQJylS4ukCoUFd5rbyGAiP8q2VpNZz42NjYQi8W17mj4+++/o1+/fiyReffddyGXy3Hx4sVafTalFsVn/PjxGDduHGxsbBAbG4vY2FicO3cOALBw4UIMHDiwVp77chZiZ2enVzuuUMiKblfruOySy+VgGAYikQheDuxNVmNuOstkMvz888+4dOkScnNzUVhYiFu3buGnn36qlRmC4s6dF3lTX752d0dRUVGF93I4HNbsJyVXXqPYLHNzc5ibm6O4uNjgPnTh3r175arWenh4QCwW416Zqh8U41Nr4uPm5gY3NzfweDwEBQUhKCgIXbp0AQD4+PhUm0/ZUBT/fjvrW4MdYEe3a7Kzwcir3zR+uTnJ4/HKLT9quvFamr/++gs5OTkAXixLWrZ8kVdHrVbj999/N9pzXqIos9+jcHerciO29L6PXK3F86LymQR0hcvlQiAQQFlB8UNjkpeXB0kFrgO2trZ1stnd1KnXez6XLl1CdnZ29TeW4saNGwCAxMRE5FZQPrgqnEBQeuF0cvsvUDnrtnEtlUqR8fdFlP6VXrn7BIdgeI6bsnTs2LHS14cOHTLacwDA5cRJlJ7HKdw9EB8fj/j4+ArvV+dxUfq7bOehE/A2/LQd5ubmyM/P1/t9cTgcDB482PAHU+qMRnfa9XKqboh3rLrMUo2fm6NXezEPEJq9Wm7kKBquh7Ow1EmT1twcKodmVd5vL2QvsxrCe7e1ta0wej4vL0+n+m6UmlGvZz7BwcF6t+FyuVi9ejVat26td/sCMx6enTpd8rqTiwvshwypuk1BAS5cuAArKyuEhYVh09M/kZD+YgM6X22G8PCBRgmz2L9/P27ffhHU2aNHD1haWuLixYuQy+WwtrbGJ598Ai7XON8l6qwsJJb+UPr4AFwu/P390apVqwrbWCRkIjrpVTyWo3drDOllWCL4nJwcqNVqiEQiDKnm918T/P39y+3tpKSkQCaTldsLohifOp35GOvDURVCoRAAypWB0YVyeX10CDB9WWX05X5I6X0flZZBprTiEyJ96dGjB3i8F98Vf/31F06cOFHyHkNDQ436u1WUWVoRX18AVe+jeZQpr1OT6HYOhwO1Wg0Li9rNCDBgwACcPHkSUqm0xLZ7926IRCKEhobW6rMpdSw+YrEY5ubmOHPmDB5VkuSrprysP17ZyUxVlHM01CG1Rmmx02q15T6Exjpud3JywujRo+Hi4lJis7KyQnh4OF4rE3leU8p6NsvdXrghiEqn1yiDu63xHA1VKhVUKlWVzzMGH374IczNzfHOO+/gzJkz2LRpE5YsWYKZM2dSH586oM6XXRMmTMDGjRthaWmJH374wej9Ozo6gsPhGOQjYiaRgGtpCeZf4dLF0ZDH48HS0hJFRUUoLCwsd+L1NFeGbi10ixGrDnd3d0yYMAEFBQXQaDSws7Orldlk2ZOunH9j3Co6GXqJSGCGZpbmeF704oSqJhkNi4uLIZVK9fZS1xdbW1ucPXsWU6dORXh4OCQSCWbMmIElS5bU6nMpL6hV8VmyZEm5/8j169dj/fr1tfZMKysrWFtbIyMjQ++2HA4HfA93KBPuAgBUaWkgWm211UolEgmKiopQUFAADzv2UsGYx+0vx1iVCNQUwjCsmY+ZoyNUlpYQCoXVui942IlKxCe9QA6VhoGAp784pqengxDCmuXVFm3atCnxP6PULY3utEsoFEIikRjsHStwLxVmoVZDo0M/L8UgPz/fqGlFTYEqKalk5gcA+DekQhfBK+3rwxDgWb5hs5+XpXPc3NyquZPSkGl04mNubg57e3uDaz+Vi27XYen1Mu1Dfn5+ubSih/5pWDWo5LfYSy6114vMhbqITzknSwM3nZ8+fQqhUFjryy6KaWl04iMQCODu7o7k5GSoS+Wi0RW+OzvAVJdNZxsbG3A4HBQWFiIzTwqmAVd9UZTZbM5r9sK/R9+ZD2D4rC8xMRGurq61vuFMMS2NTnw4HA58fX2RmppaEuelD4Yct/P5fDg5OYEQAmlu+WXaPyn6j8MUaPPzIT1bqvgih4M8OzsIBAKdwmHKnngZsums1WqRmJgINzc3euLUyGl04gMAAQEByM7ORroBlUcNmfkAL06iACAjrbxYfXk0Qe9x1DWEYZA2bx5rj4vx9gYjFMLNzU2nU7Vyvj4GzHykUilSUlLg7e1d4tdEaZw0SvHp3LkzABhUfoXv7ASU+qPXNa+Ps7MzzM3NIZVK8Ukoe/Z07Wke8mWGB1rWBTmbfkTxxT9eGTgcZPTpA+BFZkFdcLYWgm/2asPLkD2fzMxMPHnyxOi+S5T6R6MUH3d3d3h6eiIuLk7vthweD/zmriWvdc3rw+Vy0aJFCwBAN5sivPMaOz/Qb3G1m5WvJhTHxiL7u+9YNs6oUShq4Q0HBwedlz9mXA6aS17t0xiy5/P3339Do9EYFFpDaVg0SvGxtraGv78/4uPjDdp0Ln3czhQUQKtj6V4vLy+YmZkhOzsbQ/zZH9jtl5Kg0da/UjDqzEykzZ4DlArEFYWE4HGnjgAA339DK3Sl9KZzvkyNQoV+v/8rV66gefPm8PLy0qsdpeHRKMWHy+WiS5cuSEhIMOjIveyms+rJE93aCQQlgZeK9Ifo7CkpufasQIGTd+pXCWCiViNt5ixoc15F7/NcXJA58l2otVo4OjrqnXepJsnkFQoFrly5goCAgFp1pKTUDxql+ADAwIEDUVxcjDNnzujdVnGXHemc9O5IKB8/ruRuNj4+PpBIJFAoFOjZnB3NviVGNxGrK7K+WQv5tWuvDHw+ePM/RUZxMXg8Hjp27KhXBRCgAl8fPcTn6dOnuHXrFnr27Ek3m5sAjVZ82rRpAz8/P5w6dUqv3D6EYSD/NyFZaZ68/Q5yt/8CUk1fXC4Xr732GrhcLlyYbDhbvSrDfPVpHm6l5us8ltqk8NQp5G7ZwrLZzZ6Fu5oXFTfatWunt5+NliGIT2MvUdPyq4/qv5WajzWn7uOnXw9Aq9XitZBeej2X0jBptOJjZWWFoKAgXL58Wa+MhhwuFx5bfi5nJ0olMpctQ/KYsVBXs5SzsrKCv78/zDhAsCO7fM6WmCSdx1JbqJ4+RfpnC1g2q4H/wWM/P6jVajg5OZW4DuiKliGYvfcmjt1iuze42AgrbZOYVYS3/y8GgzfE4IcLD3H7yp9o3bo15pzOxNv/F4NH2fpnJqA0HBqt+ABAREQEkpOT9a5EIA4MRIvjx+G8ZAm4ZXLKyP7+G48HD0H+gYNVJkn39fWFnZ0dutipICgVl3r01jNkFRonx48hMAoFUj+ZzorfEvi0QFZEBLKys8Hn89GhQwe9llsaLYOZe/7BgRtpLPug9i7oH1BxFZHErCIM++ESbiTnAwB8LdSIvRSDNl16oEDFwY3kfAz9/hISs6gANVYatfiEhITAx8cHu3fv1mvpxREIYN7CG7bvjkCLw4cg7taNdZ0pKkL6/PlInTYNmpyKU61yOBx07doVjhJLdGn26tlqLcGOv3UvSGhsMr78EspS2fs4YhGKJk9BSnY2zMzMEBQUpNdy64Xw3CwXwza4gyu+HdGx0iyOc/bdRJ7s1UmYbfY/KC4uhsCvR4ktT6bGnH03dR4LpWHRqMXHzs4Offv2xblz5wzydgZe1PPy2PIznD6bD06ZlBJFZ87icfhgSCvZ1DY3N0dwcDD6eglY9p2Xn0KhrvuSvPn796NgfzTLphw7DkkaNbhcLrp27apXySGNlsH03f/g8E228LzV0RXfDO8AnlnFf163UvNLZjwAYMEjSLl+Hq8FBuKWjO2icCM5H/Gpurk6UBoWjVp8OBwORo8ejYKCAuzcudPwfrhc2I0eDe/o/RC2bcu6ps3NRerUaXj26XxoS6XjfIlIJMKwfq8jwP7VDCCnWIUjN+s22l1x9y4yvviSZVOGhSHJ3Q1mZmbo1q2bXlVeNVoGn+z+B0fL7PG806k51gzvWKnwAMDpBLbLQVvzXFyOjUXLoN7IV5WfKZ1K0D83E6X+06jFBwA6deqEN954Azt27KhxETpzHx94/boLzaZOBcokGCs4eBCPBw9B8eXL5dqJxWJM79+BZfv+7D1oNHVTy10rlSL1k+kgpepgKTw8kNwrDHw+H8HBwXoJj1rL4JPf/im3ufzOa82xalgHmFWTMD+/1HKLAwJl/Ak0a9YMOU5dKry/QK6/oyil/tPoxcfc3Bzjxo1DfHw8Tpw4UeP+OHw+HKZOgddvv0Hg48O6pklPR3LkGGQsWwamTGnhXgGuaNHs1eb14zwVfjx4vtaL0xFC8Gz+fFYFVq1YjGejRsLB1RU9e/bUa6ml1jL4+NcbOBbPFp6I19ywamj1wgMAEjG/5N8B1ir8ceYEQvv+B3cLKs4YaSPiV2inNGwavfgALxwOAwIC8N1335VUNK0ponZt4b1/H+w++AAoczKUt/0XPHknAvJSVSC4XA7GhHix7vv9sQJ//PEHbt68aVDCe13I3bIVRWdepckgHA6yRo1E25499d5cVmkYTN11Hb/fZi+DhgW6YeXQ9joJDwD0afMiSRgHBJaJZ6BUKsHx7wOCitv3bVPxiRmlYdMkxMfGxgaTJ0/Gn3/+iWPHjhmtX65QCKf5n8Jj61bwXNn5hlWPHyPp3ZHI/m49yL/xZe+85gYr4SvP3dt5XOQogKSkJJw9exZXrlxBZmamQQUPX0K0Wsjj4/F80494NPoDZK5ezbquDB+E7lOmwNPTU6/j9JfCUzZEZERnd6yI0F14AKC9mwSdPCRoZ6PC2SN70XfgYFyVWlZ4bycPCdq52VR4jdKw4ZCqnFUaEVKpFCEhIbCyssLJkydLSuwYC21RETKXLUdBdHS5a8I2beC6cgXMfX2x7PhdbPrjVajG6K7N8bY3QWpqaonomJubw9nZGRKJBBKJBFZWViX1wcpCCIEqMRFFly9D+lcM5FevApXsbfEDA9Fi21Zw9QxdUGkYTN55HWfusoXn3S7uWPZ2O4OKIiZmFmLJZ3NxcPcO9Jv/E65Jy9dWthXzse+jYPg4GPf/ilI/aDLiAwBbtmzB2LFjsWXLFkRGRtbKM6TnziF9URQrWBN44TvkMGMGZIOHInT1xZJUq1ZCHi7P7wUzokFycjKSk5PLbYxzOBxYW1vD2toaPB4PZjk5wK144NYtcG7fBkeHqHuekxO8o/eDZ69fGR+lRospO6/jzN0sln1kVw989VZbg6ux3rp1C6Ghoeg9IBzXPIaDKbPkes1DglXDOlDhacQ0KfGRy+Xo06cPsrKycPnyZb02WvVBk5uLjMVLID19utw1cZcu2NB1FPamvfLz+WJIAEZ39wLwYiaTl5eH3NxcFBQUID8/H/L0dIgfPYI48RFEjx5BoEe4CM/REZahb8Dh44/B0zNCXanR4qMd13HuHlt43uvmgS+HGC48Go0GI0aMwF9//YVLly5BZt4MpxIyUCBXw0bER982znSp1QRoUuIDAGfOnMGgQYMwbdo0rFixotZKOBNCUHjkCDK+XAqmjP8PEYnxrf8gnPLoAnA48G5mgbMzQ0s+zNrCQsiuXkVx7GXILsdC+TBR5+ea2dhA3K0bLLoHQdwtCAJvL70j0wFAodbiox3XcP5+Nsv+36AXwmNIny85dOgQIiIisGTJEixYsKBGfVEaLk1OfNRqNSZOnIj9+/fj999/R0hISO0+Lz0dzz77DLLY8v4/l53b4LuOQyHjCTHHTYnggicQ3bkBxe07rOReVcERiyHuHAiLoO6wCOoGc39/cGooqAq1FpN+uYaLD9jCM7q7Jz4fHFAjscjKykJYWBh4PB4uXLhA8/Y0YZqc+ABAWloaXn/9dTg6OuLEiRO1/gEgDIO8Xb8ia/VqkDJH/TKeOfiMBnxGt3ALDp8PUceOEAd1g0X37hC1awcO33h+MAq1FhN/uYY/yghPZLAXFoe3qZHwaDQaTJs2DVu3bsXRo0fRqxdNndGUaZLiAwD79u3DyJEjMWfOHCxdurTWll+lUT55gmeffgrFzVvV3/wvDIcDqYcvLIOC4NknFBaBr4FbS/WsFGotJmy/ij8fPmfZx4R4IWpQzYQHAA4fPoxhw4Zh6tSpWLVqVZ38zin1lyYrPhqNBpMmTcJvv/2GvXv34j//+U+dPJdoNMj56Sdkb/gfUEl4RZKVE246+OEfB1/E2/ugWPBCbOwtBHijpQNCWzrgdb9msLesuna6PshVL4Tnr0S28IwN8caiQa1rLDxJSUno1asXJBIJzp49S5dblKYrPsCLMi0DBgxAbm4uTp06hZYtW9bZsxUJCUhfuAiKhATAxRWZPm1xWdICB+CMTF71x8scDtC+uQ1CWzogtJUDOrrb6uXoVxq5Sovx2+MQk8h2DxjfwxsLBtZceKRSKYYOHYpr167hyJEj6N69e436ozQOmrT4AMC1a9cwYMAABAQEIDo6Gra2tnX2bEIIiFwOrvhV3mOFWovLj3Nw4X42/niQjcfPdQuGtRHx0cOvGd78d2bkaF15BsHSyFQajNt6FbGP2cIz8Y0WmD/Av8bCo1KpMH/+fKxbtw4bN27E2LFj6ekWBQAVHxBCsGvXLowdOxajRo3C999/D6FQtw9uXZCcI8PFB1m4+CAbMYk5kOuYB6i1izXebPVCiAI9bcGvIMWFTKXB2K1xuPyY7Tc0KbQFPu1fc+FhGAb/+9//MHPmTEyePBlr1qyhieEpJTR58QFefEiWLVuGxYsXY968efjiiy/q5YdEqdHialIeLj7IxoX7WXiQqVswqqU5DyG+9ght6YjQVg5oLhGhWKnBmK1xuPKELTwfhvpgXv9WNRYeQgiio6MxevRo9O3bFzt37oRYLK6+IaXJQMXnX5RKJWbOnImNGzdixYoVmD59eqXxVPWFZ/lyXHyQjYv3sxGT+BxSpW75gfwcLWHG5eBeBtv5cfKbPpjTr+bCA7xw5hw5ciT8/Pxw6NAhvet/URo/VHxKUVRUhPHjxyM6OhorV67EtGnT6r0AvUStZXD96ctZUTYS0gv1aj+1py9m9W1pFOE5d+4cRo4cCWdnZ0RHR8OnTN4jCgWg4lOOgoICTJgwAQcPHsSKFSswbdq0erkEq46sQsWLWdGDbPz58HmV2QA/DvPFjD41Fx5CCM6ePYv33nsPTk5O2L9/P/z8/GrUJ6XxQsWnAgoKCjBx4kRER0dj0aJF+PTTTyEQCKpvWE/RaBncTC3AxfsvNq5vpRXg5f/69N5+mN675i4GDMPgwIEDmDRpElxdXbFv3746dV2gNEAIpUIKCgrIuHHjCJfLJRMnTiT5+fmmHpLReC5VkDMJGeR2mnHek1KpJN999x0Ri8UkODiYPHr0yCj9Uho3VHyqQCaTkYULFxIej0cGDBhAkpKSTD2kekdhYSGZMWMG4fF4ZMiQISQrK8sk45g4cSIRCoXkyZMnJnk+RX+o+FSDRqMhGzduJBKJhLRs2ZJcuHCBMAxj6mHVC548eUL69OlDeDwe+eSTT0hxcbFJxhEXF0c8PT1JVFQUGTJkiEnGQNEfKj46wDAM+eOPP0jr1q2JtbU1WbVqlck+aPUBtVpNDh48SFq0aEHs7e3JTz/9RNRqtUnGwjAM6datGzl58iTRarUkJCSEnDhxwiRjoegHFR89SE5OJhEREYTD4ZC+ffuSmzdvNrlZUGZmJvnoo4+IQCAgr732GomJiWlyvwOKcaDioycKhYJs3LiRODk5EQcHB7J69eomMQtSq9XkwIEDpG3btkQoFJKZM2eSvLw8Uw+L0oCh4mMg9+/fJ+Hh4YTL5ZKuXbuS33//nSiVSlMPy+hotVpy69YtEhERQczMzEjHjh3JqVOniFarNfXQKA0cKj41QKFQkB07dpDWrVsTPp9PIiIiSGxsrMn2P4wJwzDk0aNHZNq0acTW1pY4ODiQL7/8kuTm5pp6aJWSnJxMwsLCiL+/P2nTpg2ZM2cOXRLWY6j4GIGcnByyZMkS4urqSoRCIRkxYgS5evVqgxQhhmFIUlISmT17NnFwcCAWFhYkMjKSPHz4sN5/kJ89e0bi4uIIIS98j3r06EH27dtn4lFRKoOKjxFJS0sj8+bNI05OTkQgEJD+/fuTAwcOEKlUauqhVYtCoSCXL18mo0ePJra2tkQkEpFRo0aRmzdv1osl1vTp0wmAkh9HR0fy/vvvk+fPn1faZtq0aeTbb7+tk/HduXOHhIWFEZFIRFxcXMiiRYuIRqMxStuHDx+SiRMnknbt2hEul0tCQ0P1GtsHH3xAzp8/b9D16trWBJpE14i4urpi+fLl+Pvvv7FgwQI8ffoUb7/9NoKDg7FgwQIkJCRAqVSaepglaLVapKamYt26dejbty969OiBEydOYPjw4bh06RK2bduG9u3b14tcy/Hx8QgKCkJsbCxiYmIwa9Ys7Ny5E1OmTKnw/tzcXBw8eBD9+vWr9bHl5eWhd+/e4HA4OHToEKKiorBmzRosXrzYKG3v3LmD48ePo1WrVjqHrFy/fh27d+9m2aRSKb7++mswDFPl9eraGo1akTQKIYSQvLw8smPHDtKvXz9iYWFBBAIB6dGjB1m8eDGJi4sjhYWFdT4muVxO7t+/T9atW0cGDRpEJBIJ4fF4pGvXruTrr78mKSkp9XJ55ejoSKZMmcKyhYeHEzs7u3L3KpVK0rNnT7J69eo6GduyZcuIRCIhBQUFJbYVK1YQkUjEshnatvTMMyIiQqeZT3p6Ohk/fjwZNGgQ6d27N5k5cyYJDAwkGzduJFqttsrraWlpVbY1FlR86gCVSkXu3btHli1bRoKDg4lIJCJcLpe0bt2ajB49mmzYsIFcv36dZGdnE5VKZbTnarVakpeXR+7fv09++eUXMmXKFNK1a1ciFAqJmZkZadeuHZk+fTqJjY2t1+4CGRkZBADZsGEDyz5u3Dji4ODAsmk0GhIREUFmzJhRZ+N7/fXXyYgRI1i2p0+fEgDk8OHDRm2rq/i8ZPfu3YTL5RIfHx+SmZmp1/Xq2taUhpcrogHC5/PRqlUrzJ8/H7Nnz0ZqaipOnTqFU6dOISYmBjt37gTDMHB3d4enpye8vb3h5+cHb29vuLq6wtXVFdbW1jA3NweHwylZBhFCwDAM1Go1ZDIZnj17hrS0NKSmpuLBgwdITExEamoqnjx5ApVKhebNm6N169ZYuHAhBg0ahJYtW0JUS2V4jEl8fDwAwN/fv8TGMAxiY2MRHh7OunfSpEmwsrLCmjVrdOqbEAKttvrUtFWlVbl37x7CwsJYNg8PD4jFYty7d6/cGI3VtiqysrIQFRWF1NRUhIWFoV27dhg4cCA+/PBDjBkzBs+fP6/0enh4eJVtjbUMp+JTx/D5fHh7e2PSpEmYMGECCgsLkZ6ejtjYWMTFxSExMRFXrlxBdHQ0iopepUm1srKCUCgEn88Hn88Hl8uFSqUq+ZFKpSXrcYFAAFdXV7i7u6Nbt26YNGkSQkJC0KJFC0gkkgaXn+il+Pj6+kKj0eDZs2f48ssvYW1tjZUrV5bcFxMTg82bN6Nt27bo1KkTAGDs2LH4+OOPK+1727ZtGDNmTLVjIFVknsnLy6uwFJCtrS3y8vKq7LcmbasiJSUFb775Jt59911ERkZi8ODBWLJkCf73v/+BEFLl9eraGouG9VfYyOByuZBIJJBIJGjdujXGjh0LhmFQWFgImUyG7OxsPHv2DOnp6cjIyEBRURGUSiVUKhU0Gg2EQiHMzc0hFovh4OAAFxcXuLm5wdnZGWKxGFZWVuAbsZqpqbh160WRRS8vrxKbm5sb4uLiYG9vX2ILCQnR+8MRHh6OuLg4o4yzPhEYGIjAwECWzdraGvPnz9f5emXXjAUVn3pGaUFydXVFhw4dTD0kk/PypGv9+vVQq9U4ffo0Fi9ejKVLl2LDhg016tvOzg42NjY16sPW1hYFBQXl7Hl5edWWYqpJW13ZunWrwdera1sTTH+GSqFUAcMwSEhIQHBwMDp37ozu3bsjKioK/fv3x549e2p89Ltt27aSpWxVP1Xh7++Pe/fusWwpKSmQyWSsfSpjt23o0JkPpV7z8OFDyOXykj2cl4waNQonTpzAlStXEBQUZHD/xlh2DRgwAKtWrYJUKoWVlRUAYPfu3RCJRAgNDa21tg0eo5+fUShGZO/evQQAiY+PZ9mzs7MJl8slixcvNs3ASpGbm0ucnZ1J7969yenTp8nGjRuJhYUFWbBgAeu+bdu2ETMzM1ZGTF3aFhcXk71795K9e/eSoKAg0qZNm5LX9dlFojqo+FDqNVFRUUQoFFYYJ9e9e3fSrVs3E4yqPHfu3CE9e/YkQqGQODs7k4ULF5YLr9iyZQsBUC7Va3Vtnzx5wgotKf3TkNPG0uoVFArFJNANZwqFYhKo+FAoFJNAxYdCoZgEKj4UCsUkUPGhUCgmgYoPhUIxCVR8KBSKSaDiQ6FQTAIVHwqFYhKo+FAoFJNAxYdCoZgEKj4UCsUkUPGhUCgmgYoPhUIxCVR8KBSKSaDiQ6FQTAIVHwqFYhKo+FAoFJNAxYdCoZgEKj4UCsUkUPGhUCgmgYoPhUIxCVR8KBSKSaDiQ6FQTAIVHwqFYhL+HztcOSq9C6DHAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(subplot_kw={'polar':True}, num='fig2_spikephase_hist')\n", "\n", "# Plot tonic spike and burst phase histograms and preferred phase\n", "max_radius = 0.2\n", "plot_circhist(tonic_phases, ax=ax, bins=PHASEBINS, color=COLORS['tonicspk'])\n", "ax.scatter(tonicspk_phase, max_radius, color=COLORS['tonicspk'], s=15)\n", "plot_circhist(burst_phases, ax=ax, bins=PHASEBINS, color=COLORS['burst'])\n", "ax.scatter(burst_phase, max_radius, color=COLORS['burst'], s=15)\n", "ax.set_ylim(top=max_radius)\n", "\n", "# Center dot\n", "ax.scatter(0, 0, fc='none', ec='gray', s=5)\n", "# Bold outline at max. radius\n", "ax.plot(np.linspace(-np.pi, np.pi, 1000), np.full(1000, max_radius), color='black', lw=0.5)\n", "\n", "# Format phase axis\n", "ax.set_frame_on(False)\n", "ax.set_xticks([0, np.pi])\n", "ax.set_xticklabels(['0', '\\u03C0'])\n", "ax.tick_params(pad=-5)\n", "\n", "# Format radial axis (spike density)\n", "ax.set_yticks(np.arange(0, 0.3, 0.1))\n", "ax.set_yticklabels([])\n", "ax.set_ylim((0, 0.2 + 0.05))\n", "ax.set_rlabel_position(90)\n", "\n", "# Print coupling strengths and significance level\n", "ax.text(-0.15, 0.95, '$\\hat{R^2}$ = %1.2f %s' % (burst_strength, p2stars(burst_p)), fontsize=LABELFONTSIZE, transform=ax.transAxes)\n", "ax.text(0.9, 0.05, '$\\hat{R^2}$ = %1.2f %s' % (tonicspk_strength, p2stars(tonicspk_p)), fontsize=LABELFONTSIZE, transform=ax.transAxes)\n", "\n", "set_plotsize(w=2, h=2)\n", "fig.savefig(FIGUREPATH + 'phase_hist' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "3083fe56-3f0c-4483-aba3-9cd0b4d21456", "metadata": {}, "source": [ "### Figure 2C\n", "Phase coupling across the entire population of neurons." ] }, { "cell_type": "code", "execution_count": 9, "id": "4d610027", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: phasetuning_spontaneous.pkl\n", "Loading: phasetuning_sparsenoise.pkl\n", "Neurons with significant coupling: 0.981 (153/156)\n", "Tonicspk prop. significant: 0.981 (153/156)\n", "Tonicspk num. CPDs per neuron: 4.36, 1.52\n", "Burst prop. significant: 0.849 (107/126)\n", "Burst num. CPDs per neuron: 2.48, 1.71\n" ] } ], "source": [ "# Load phase coupling data from gray screen and sparse noise experiments\n", "conditions = ['spontaneous', 'sparsenoise']\n", "df = load_data('phasetuning', conditions)\n", "\n", "# Assign significance based on p-value from shuffled permutation test\n", "df['tonicspk_sig'] = df['tonicspk_p'] <= 0.05\n", "df['burst_sig'] = df['burst_p'] <= 0.05\n", "\n", "# Print a summary of coupling across the population of neurons\n", "coupling_summary(df)" ] }, { "cell_type": "code", "execution_count": 10, "id": "df56c25d", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Make phase-frequency scatter plot\n", "fig, ax = plt.subplots()\n", "phase_coupling_scatter(df, ax=ax)\n", "\n", "set_plotsize(w=2, h=2)\n", "clip_axes_to_ticks(ax=ax)\n", "fig.savefig(FIGUREPATH + 'phase_tuning_scatter_spontaneous' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "5b31287f", "metadata": {}, "source": [ "### Figure 2D\n", "Tonic - burst phase differences." ] }, { "cell_type": "code", "execution_count": 11, "id": "f3c3e5b9-dcd6-4e7a-a845-5bb180580ce6", "metadata": {}, "outputs": [], "source": [ "# Only consider neurons with significant coupling to both spike types\n", "df_sig = df.query('(tonicspk_sig == True) & (burst_sig == True)').sort_values('freq') # sort by timescale\n", "df_sig['phase_diff'] = df_sig.apply(lambda x: angle_subtract(x['tonicspk_phase'], x['burst_phase']), axis='columns')" ] }, { "cell_type": "code", "execution_count": 12, "id": "0f9211d0-84cc-42e0-ac61-ff757637a623", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot burst preferred phase relative to tonicspk preferred phase for each neuron\n", "fig, ax = plt.subplots()\n", "pos = np.arange(len(df_sig))\n", "ax.scatter(pos, np.zeros_like(pos), s=4, fc='none', ec=COLORS['tonicspk'], lw=0.5)\n", "ax.scatter(pos, df_sig['phase_diff'], s=4, fc='none', ec=COLORS['burst'], lw=0.5)\n", "\n", "# Format axes\n", "ax.set_xticks([0, len(df_sig)])\n", "ax.set_xticklabels(['Slow', 'Fast'])\n", "ax.set_xlabel('Timescale')\n", "ax.set_yticks([0, np.pi, 2 * np.pi])\n", "ax.set_yticklabels(['0', '\\u03C0', '2\\u03C0'])\n", "ax.set_ylim(bottom=-0.4, top=2 * np.pi + 0.2)\n", "ax.set_ylabel('$\\Delta$ Phase preference')\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=3, h=2)\n", "fig.savefig(FIGUREPATH + 'phase_diff_scatter' + FIGSAVEFORMAT)" ] }, { "cell_type": "code", "execution_count": 13, "id": "612f3bc4-c271-4c8c-a4ea-1de56560aaa1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mean phase diff: 2.82\n", "V 1.39e+02, p 0.00e+00\n", "N = 278 neuron-CPD pairs\n" ] }, { "data": { "image/png": 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RrjqFKHBjZGRkh9JfunSJ1NXVxTZECggIaDVMcX19Pd29e5eOHDlCoaGhNH36dLKzsyMVFRWx/F35aGtr08CBA2nJkiViEVWlFU6ttraWoqOjKSIignJzcyVefmtMnz6dANDXX38tE3tdQWHFXVNTQ6qqqsTlcqmsrKzD+fbv399CbCtWrGg3X0VFBUVERNCxY8coKSmJDh8+TCEhITRt2jRycXHpsug5HA598MEHTPnSihWYnp5OERERdOHCBZkEmd+yZQsBoLfeekvqtrqKwjZLbt26hYaGBtjY2HRq4CYoKAiPHj3CF198wRzbtm0bHB0dXzq6mZ6eDgCws7ODl5cXvL29xc7X1dUhNTUV9+7dE2vepKWlvXTONhHhhx9+QEREBObPn9+iXEnRu3dvPHjwAGVlZSgpKYGhoaFU7IgYPHgwADDdpQqJvL9dbfHjjz8SABo/fnyn8zY2NtLs2bPFalAul0tRUVGtpm9oaKDTp09TREREp34liJqaBCkpKXTw4EFau3YtTZ48mRwdHZkoqs0/I0aMoMLCwk5fU0e4e/cuRUREUHJyslTKf5G6ujqmCVhcXCx1e11BYcW9ePFiAkDBwcFdyl9TU0ODBw8WE5aOjg6lpKS0SJuTk8P8pEuK4uJi5hqafwwNDWnv3r0Sbz6Imj6nTp2SyXYoffv2JQAUExMjdVtdQTH7cADcuXMHANocfWwPUYgCOzs75lhlZSUCAwNbBJsR/S/JJWsGBgb49ddfERcXhz59+oidKy4uxrx58/Dmm2+iurpaYjZ1dHRgYGAAoVCIwsJCiZXbFm5ubgD+flaKhsKKW7Qky8HBoctlGBsb4/Tp02Jt9pycHEyaNElMVKIJSEZGRl221RajRo3CrVu3sHr16hbdg6dOncLEiRMlKnDRNchiUpWVlRWAv59VR7h37x5Gjx4NHo8HCwsLhISESC2yrEKKm4jw5MkTAOj2qFvfvn1x9OhRsbkkSUlJmDt3LhobG1FfX4/q6mqoqKhAR0enW7baQktLCxs3bsTmzZthb28vdi4uLk6iAhd9kWUhbktLSwDocNi10tJSjBkzBhwOB5GRkQgJCcGWLVsQGhoqFf8UUtzFxcUQCATQ1taWiODGjBmDn376SezY8ePH8dlnnzEi0NXVlfrAi729Pb799lusXLlS7HhcXBy0tbWRkpLS7ZmMoui2ZWVlUo81Iqq5Oyru//73v6ipqcHx48fh7++PZcuWITQ0FFu3bsXz588l7p9UnmZYWBg4HE6bn927d780v+hnTpLdWUuXLmUC+Yj45ptv8OuvvwKAzEIeq6io4Ntvv8Xq1atbnPP09OzUHJnW0NLSgrq6OgQCgdRX7HS2WXLmzBm88cYbYkvUZs2ahZqaGvz5558S908q4l6yZAkWL14MPT09xMfHIz4+nnlowcHBmDBhwkvzP336FIDk28AbN27E5MmTxY6FhITg1q1bMl0EweFw8PXXX7cq8B07dnS7bNG1SKM2fBFra2sAfz+v9njw4AFcXFxalCGKQSNppCJuKysrWFlZQVVVFT4+PvDx8cHAgQMBNL0gthc/WxQqQdIBYFRUVLB//37079+fOSYUCvHNN9+8dGKWNBAJvDnNm09dQRROQtp73GhrawP4+3m1R2lpaau/kHw+XyykhaRQyBFK0UNpaGhgZtJJkuXLl2PVqlXMJKuqqirMmDED3377rUxWdYuuSSgUQlVVlbleQ0NDxMfHS8xOcnKyVEcQRc2eqqoqqdnoDgr5QintFyEDAwOsXbtW7Jfh6dOn+Prrrzs8U1ASFBUVidWuzs7OMrMtD/h8PsrLy1scLy0tBZ/Pl7g9hay5RbHy1NTUJDr3uTmOjo548803mZXc9+/fR0REBPbt2yeVaaORkZGoq6uDnp4ezpw5g6ioKLHzI0eOlMj1Xrp0CSUlJXB3d+/WOEF7dLa70cXFpUXbOicnB9XV1S3a4pJAZuLuTDebSNzSrkUDAwPx4Ycf4rvvvmOOHThwAE5OThKJaEVESE9PR0JCAhISEnDmzBlkZma2OWjh6OjYbZsAmLgu0g5aKXo+HY0GEBAQgG+//RYVFRVMnsOHD0NLSwsjR46UvIPSGtcPDQ0lQ0NDsWMaGhoUFBREaWlpL80bHx9PAMjJyUla7jHcunWLAgICWsz/OHDgQKfLev78OZ07d47Wr19PgYGBZGRk1OGpsQYGBhKbgBQbG0sRERFUUlIikfLa4ubNmwSAbGxsOpS+pKSEzMzMaMyYMRQTE0M7duwgbW1tWrt2rVT8k2mzZOnSpdixYwd0dHTw3//+t810FhYWACC2qkZa8Pl8LFmyBKWlpUhISGCOL1y4EDY2Nhg6dGir+RobG/HgwQOmVk5ISMCdO3c69b7A5XLh4+ODgIAALFmyRCJRXQUCASorK8HhcKT+ciwKKyd6Xu3B5/Nx7tw5LF++HBMnToS+vj4+/vhjhIWFScdBqXxlukldXR0zTVXas9tEM+mOHj1K7u7uYrWpkZERPX78mIiaZvlFR0dTSEgI+fv7k56eXpcWLlhbW9OSJUvo8OHDUpkqWlRURBEREXT+/HmJl92cn376iQDQ1KlTpW6rKyjkC6W6ujoMDQ1RXFyMvLw8qYZW0NbWZtr4R48exYgRI5gZdUVFRfD19YWWlhZSU1M7XbahoSF8fHwwePBgDBo0CM+ePQOPx5PqS7LoJU8WI66i3SLMzc2lbqsrKKS4gaafuuLiYmRmZkpV3BwOB/r6+igqKoKuri5OnjwJX19fJjyx6Ke3PVRUVODp6ckMWvn4+MDBwUGs10UaffbNEYlbFiOuomH3jjZLZI3Citve3h63b99GSkqKdN6kX8DIyAhFRUXIz8/HoEGDsHfv3nb3tDQ3N8fgwYMZIXt7e8s9+lJDQwMzm1Ia03ebIwql0Xymo6KgsOL29vZGZGSkTNboidYf5ufno1+/fpg+fTq+++47rFy5Eo2NjVBXV4e3t7dYrdy7d2+5xg1sjYKCAjQ0NIDP58skWKeoz1pa60K7i0KLG0Cr8QElDY/HY2rv7OxsODg44KOPPsLkyZNRVlYGV1dXucQE7wxEhIyMDAB/T2iSJpmZmSguLoaurq5UB4q6g0IOvwNgJjc9fPhQais1XkT00/r48WNmxNLW1haenp4KL2wAKCkpQWlpKdTU1JipqNLk8uXLAAAvLy+FjTilmF4BMDMzg4WFBWpqalrE9JOWPW1tbdTU1PS4HXOJiGki2NnZyWSrv2vXrgFQ3CYJoMDiBv6OjXH69Gmp2+JwOHB1dQUA3L17V6LrGqVNVlYWioqKoK6uLrOXu4sXLwIAfHx8ZGKvKyi0uAMDAwGAifQqbURx9xoaGnDz5s0esSV0dXU1s/q8X79+MmlCFRQU4Pbt21BTU8PYsWOlbq+rKLS4x48fDw6Hg6SkJJSUlEjdHofDQb9+/aCurs6EBVZkiAg3btyAUCiEhYUFs2BX2hw+fBiNjY0YOXKkQu9JqdDiNjExweDBg9HQ0IDjx4/LxKampiZee+01AE3xOOSxsVJHefz4MdMc6devn8zsipqJihybG1BwcQN/38CIiAiZ2bS0tISFhQWEQiGuXr2qkO3vnJwcZr8eDw8PmfXoVFdX4+rVqwDa3u1CUVB4cYsW9MbFxcls9y4OhwMvLy9m5zBFE3heXh5u3LgBoCnqkyyHv/fs2YOamhp4enrKbCeHrqLw4nZ2dsbQoUNRU1PT7ZXhnUFVVRWDBg2Cvr4+qqqqcOnSJYVoomRmZiIpKQlEBCcnpxah2qTNzp07AQCLFy+Wqd2uoPDiBprmgQNNN1aWm3uqqalhyJAhTA1+8eJFZGVlyaUXRSAQ4MaNG0yfv6urK9N1KStu3LiB5ORkaGpqIigoSKa2u0KPEPeMGTNgaGiIR48eyaxbUISamhp8fHxgYWHBdBEmJCTIdItq0dbc2dnZ4HK58PDwgJOTk8zsi9i0aROAphjo0ljQK2l6hLi1tLSwbNkyAMDmzZtlbl+0c5hoi+rCwkLExcVJvRavr6/HjRs3WmzNLY+27pMnT5gpux9++KHM7XcFhd7N7EUKCgpgb2+P2tpanDt3Dn5+fnLxo7a2FikpKczUUh6PBwcHB/Tu3RtqamovzdvR3cwqKyuRnp6O7OxsCIVCcLlcuLi4yGy/+dZYuHAhdu/ejTfeeANnz56Viw+dpceIGwBWr16NTZs2wdvbG0lJSXLzg4iQl5eHBw8eMAFpVFRUmIEUPp/PRH16kbbETUSoqqpCcXExcnJyWuzI5u7uLvP95l/k0aNHcHNzg0AgQHJysljELkWmR4m7tLQU9vb2KCsrw5EjRzB9+nS5+kNEKCgoQHp6eovFzFpaWtDX14e+vj50dHSgqqrKRJPy8fFBfX09ysvLUV5ejrKyMrHgPCoqKrC0tISDg4NMImC1x+TJkxEZGYmZM2fi0KFD8nanw/QocQNNwSzXrFkDR0dH3L9/v9093GVFZWUlcnJyUFRUhPLy8k5P09XQ0IC+vj7Mzc1hYWHRbhNHVly7dg2DBw8Gl8vFvXv3JBZbRRb0OHFXV1fD0dER+fn5WLduHYKDg+XtUguICBUVFSgrK0N5eTmqqqrQ2NiIZ8+eAWhqaqioqEBXVxf6+vrQ09ODlpaWnL1uiVAoxOuvv47r169j2bJlEgnSKVNkutZeQhw6dIgAkJaWFt27d0/e7nQYae5DKQ3CwsIIABkbG0ttBzZp0iO6ApszY8YMTJs2DTU1NZg7d65MVuq8aty5c4cJsfzjjz+2G3ZaEemR4uZwOPjxxx9hZGSE5ORkbNiwQd4uKRVCoRBz585FXV0dZsyYgbfeekveLnWJHiluoKndun37dgDAhg0b8Ndff8nZI+VhzZo1uHnzJoyNjfGf//xH3u50mR4rbqCpeTJnzhzU1tZiypQpHd54iKVtDhw4wIwC//LLLz2yOSKiR4sbaHoAXl5eKCgowMSJEzu8hQVLS5KTk/HOO++AiBAWFibVsG+yoMeLm8fjITIyEiYmJkhOTsbChQvl7VKP5OnTp8yOxtOmTcPnn38ub5e6TY8XN9AUMerEiRNQV1dHeHi4UjwYWVJZWYnx48cjLy8PHh4e2LNnj8LGIukMPf8K/p8hQ4bgl19+AQCsX7+e7UHpINXV1fD398f169dhZmaGyMhIZpeyno7SiBsA5s2bh23btgEA1q5dywq8HaqqquDv74+EhAQYGRnh3LlzUo2oK2uUStxA0zZ8W7ZsAdAkcLaJ0jrl5eXw9fXF1atXYWhoiNjYWPTt21febkkUpRM3AHzyySdMDb5+/XoEBQWhvr5ezl4pDg8fPsSAAQOQlJQEU1NT/Pnnn/Dw8JC3WxJHKcUNNNXgu3fvhpqaGg4ePIihQ4cyCwxeZaKiojBo0CCkpaWhT58+uHjxItzc3OTtllRQWnEDwPz583H+/HmYmJggKSkJ3t7eTADHV5FNmzZh8uTJKC8vh7+/P65duyaXtZiyQqnFDQBDhw5FYmIivLy8kJ+fD19fX2zYsEGmq+jlzdOnTxEYGIjVq1ejoaEBH330EaKjo3vEIt9uIe9pibKiqqqKZs+ezewsNnDgQHrw4IFMfZDHlNd9+/aRoaEhASBNTU3auXOnTO3Lk1dG3EREjY2NFB4ezjxsLS0t2rBhAwmFQpnYl6W4CwsLaeLEicyXefDgwTL/MsubV0rcIp48eUJTpkxhHryLiwsdO3ZM6nZlIe7Kykr67LPPSFdXl6mtN2/eTA0NDVK1q4i8kuImaqrFDx48SKampozIX3/9dbpw4YLUbEpT3AKBgDZv3kwmJibM9QwfPvyVq61f5JUVt4jKykr66quvmJoOAI0ePZrOnj0rcVvSEHdVVRVt3bqVbG1tGf/d3d3p1KlT1NjYKFFbPY1XXtwiioqKaOXKlaShocGIxNXVlTZv3kzl5eUSsSFJcd+7d4+WLVtGfD6f8dfGxob27t37SjZBWoMVdzNycnJo9erVZGBgwIiGx+PR5MmTadeuXd0SenfFnZqaSuvWraOBAwcSh8Nh/OvXrx/t3LmTamtru1y2MsKKuw2qqqpo586d5OPjw4gIAKmrq9OwYcNow4YNdO/evU71tHRW3DU1NRQbG0vLly8nR0dHMT80NDQoKCiI/vzzz1e++dEWPS5uiTy4e/cuTpw4gZMnTyIxMVHsXK9eveDs7AwPDw8MHDiQCcpubGzcYk50W+HU6uvrkZOTg4yMDFy7dg3Xr1/H7du3kZ6eLhaJisfjYezYsZg4cSLefPNNGBoaSumKlQNW3J2koKAAp0+fxunTpxEfH88E2mmOmpoaDAwMYGxsDD6fD1VVVQgEAma77bq6OhQVFTERqtoaMXVycsKoUaMwadIkjBo1SiGD9ygqrLi7AREhNzcXycnJzOfx48coKCjo1C4MHA4HxsbGMDc3h7u7O7y9vdG/f394eXkpRKzAngorbilRVVWFgoICFBQUoKSkBAKBAAKBAFwuF2pqalBXV4epqSnMzc1hamqqMLEBlQlW3CxKi9LPCmR5dWHFzaK0sOJmUVpYcbMoLay4O8nRo0eZvSk1NTXh7OyM9evXd3kBct++ffHjjz+ioKAAq1atgoeHB3R0dNC7d2/Mnz8f+fn5Er6CVwe2t6ST7NixAzk5OfD29oa+vj6uXbuGsLAwLF68uNMRUTMyMmBvb4+srCzcunULH330EZYsWYJBgwbh6dOnCAsLQ21tLe7cuQMdHR0pXZESI5dBfyXjs88+Iz09vU7P8di2bRu5u7sTEVFpaSkJBAKx8w8fPiQAtHv3bon5+irBNkskgKGhIdMs4XA4bX6ab44aFRWFCRMmAAD09fWhqqoqdt7JyQk8Ho9tmnQRVtxdRCgUorq6GpcvX8YPP/yAf/zjH+BwOMx2fCtXrkR8fDzi4+MxZ84cmJmZ4cSJE0z+6upqXLhwgRF3a9y6dQvV1dVKHX5Bqsj7p6On8uKihnnz5olNfQVA27ZtY/5fuXIl2djYiOU/efIk8fn8NhcWCIVC8vX1JUdHR6qvr5fKNSg7bM3dRa5evYpLly5hy5YtiIyMxPLlyzuVPyoqCm+88Uab+2iuWbMG8fHx2LdvHzvvpKvI+9ulDOzZs4cAUFpaGhF1rObu3bs37du3r9Xytm/fThwOhw4dOiQ1n18F2JpbAoj2Qs/IyOhQ+lu3biEvLw/jxo1rce7YsWNYsWIFNm3ahJkzZ0rUz1cNVtwS4MqVKwAAOzu7Vs83X5EjCkZpZGQkdvzChQsICgrCihUr8Omnn0rH2VcI1faTsLzIuHHjMGbMGLi5uUFFRQVXrlzBli1bMHPmTDg4OLSax8DAAAUFBTh79iz8/PzEugBF3L9/H5MnT4aLiwtmzpyJhIQE5pyxsXGbZbO8BHm3i3oawcHB5ObmRtra2qSnp0deXl70ww8/iPVooFmb++7du2RpaUkAKC8vj1RUVOjGjRti5e7atUtsAfCLn/nz58vo6pQLdvhdxhw8eBD//Oc/kZubK29XlB5W3CxKC/tCyaK0sOJmUVpYcbMoLay4WZQWVtwsSgsrbhalhRU3i9LCiptFaWHFzaK0sOJmUVpYcbMoLay4WZQWVtwsSotUxW1nZwcOh4O0tLQOpQ8LCxOL82FhYYFp06bh8ePHTJoFCxZgwIAB0nK5x/Dll1/C0tISXC4XCxYskLc7ConUxB0fH4/MzExwOByEh4d3OJ+enh4T72Pz5s24efMmRo8ejaqqKmm52uNISkpCaGgoli9fjitXruDzzz+Xt0sKidSWmYWHh8PCwgJDhw5FeHh4hx+AqqoqfHx8AAA+Pj6wtrbG8OHDER0djenTp0vLXbkjFAohFAqhrq7ebtoHDx4AAN5///1u75nTGbs9DanU3EKhEEeOHMH06dMxe/Zs3L9/HykpKV0qy9vbGwCQmZkpdjwmJgb9+vWDtrY2hg0bhrt37zLn4uPjMWnSJJibm0NbWxuenp44cOCAWP67d+9i3LhxMDAwgLa2NlxdXbF9+3axNJcuXcLIkSPB4/FgaGiIpUuXtruRk6jZFBERARcXF2hqamLYsGG4d+9em+nc3NygqamJv/76q127CxYswNy5cwE0/cpxOBxcuHChw/521e6LeV927wHg4sWLGDVqFHR0dKCnpwdfX1/cuHGj2/e200hj7VpMTAwBoKtXr1JtbS3p6urS6tWr280XGhpKhoaGYsfu3btHAGjv3r1ERDR//nwyNjYmDw8POnToEEVGRpKjoyO5ubkxgSjDw8Np48aNFBUVRefOnaMvv/yS1NTU6ODBg0y5dnZ2NH78eIqKiqLY2Fjavn07ff3118z5y5cvk7q6Os2YMYOioqJo7969ZGFhQdOmTXvpNcyfP5+MjIzIzs6O9u/fT8eOHSN3d3eysrKimpoasXSGhobk6OhI+/bto5iYGMrJyWnXblpaGgUHBxMAiouLo/j4eCovL++wv12129F7f/78eVJVVSV/f386evQonTlzhoKDg+nUqVPdvredRSriXrRoEVlbWzMXPHfuXLKxsWk3CqpI3AKBgAQCAT18+JB8fX2pV69elJ+fT0RNN1hFRYVSU1OZfCdOnCAAdP/+/RZlNjY2kkAgoHfeeYdGjRpFRETPnj0jAHTr1q02fRk2bBj5+vqKHTt37hwBoNu3b7eZb/78+QSArly5whzLzMwkFRUV+umnn1qka75QuCN2RYuJKyoqOu1vd+x25N77+PiQt7f3S591V+9tZ5F4s6S+vh7Hjx/HjBkzwOFwAACzZs1CVlYWEyTyZRQXF0NNTQ1qampwdnZGeno6Dh8+DHNzcyaNra0tHB0dmf/79u0LAMyi29LSUnzwwQewsbFhyvr555+RmpoKoCnUQu/evbFs2TIcPnwYhYWFYj5UV1cjPj4eM2bMQENDA/MZNmwY1NTUkJyc/NJrMDExwZAhQ5j/bWxs4O3tjWvXromls7S0hKenZ7ftdjZfd+y+7N5XVVXhr7/+wvz585ln311fu4PExX3mzBmUlZWJRUvy9/cHn8/vUK+Jnp4eEhMTkZSUhNzcXGRmZiIgIEAsjb6+vtj/opeh2tpaAE1tw8OHD2PVqlX4448/kJiYiEWLFjHnuVwu/vjjD5iZmWHRokUwMzPD8OHDmXZhaWkphEIh3nvvPebLoaamBg0NDQgEAuTk5Lz0GkxMTFo9VlBQIHbM1NRU7P+u2u1svu7Yfdm9Ly0tBRGJVUTd9bU7SLy3JDw8HPb29mJ90Wpqapg6dSp+//13fP/9920GfwSaeku6049dW1uL06dPY/v27Vi2bBlzvPn20y4uLjh27BgEAgEuXbqE1atXY8KECcjNzYW+vj44HA7CwsIwfvz4FjYsLCxe6kPzXwLRMTc3N7FjzWu3rtrtbD5J2W0On88Hl8tt8SWWhq2OIFFxV1VV4dSpU/jwww9bnJs1axZ27tyJuLg4+Pv7S9KsGHV1dWhsbISGhgZzrKKiAidPnmz1p1JNTQ1+fn745JNPMGfOHJSVlcHAwAA+Pj54+PAhQkJCOu1DYWEhrl69yjRNsrOzcf36dSxcuPCl+bS1tbtkt6v5JJX/xXIGDRqEvXv3Yvny5a3eb0nZ6ggSFXdkZCSqq6uho6ODiIgIsXNCoRAaGhoIDw+Xqrj19PQwcOBAfPnll9DV1QWXy8XGjRuhp6eH58+fA2gKRPnpp59i5syZsLe3R2lpKb755ht4eHjAwMAAALBp0yaMHj0aXC4Xb731Fnr16oXs7GxERUXhq6++emlAeCMjI7z99ttYv349tLS0EBoaChMTkw6NJHbVbnf8lUR+ERs3bsSYMWMQEBCAd955B9ra2oiPj8eAAQMQGBgoUVvtIrFXUyIKDAxsMySY6KOnp0e1tbWt5m+tK7A58+fPJ29vb7FjGRkZBIDpbnr06BH5+fkRj8ej3r170zfffCNW9tOnT+ntt98mOzs70tDQIFNTU5o1axZlZWWJlZuQkEBvvPEG9erVi3g8Hrm6utLHH39MZWVl7fp37NgxcnR0JHV1dRoyZEiLXoDWrqOjdlvrLemov92x25F7T0R04cIFGj58OGlpaZGenh75+vq26J3pyr3tLGzEKQmzYMEC3LlzB0lJSfJ25ZWHnRXIorSw4mZRWthmCYvSwtbcLEoLK24WpYUVN4vSInVxv2y7aNFHNB9ZErb+85//SKSs7nDhwgVwOBzcuXOHOSZv38LCwlpsMCVrUlNTERYWhrKyMpnYk/qGTy/OBKypqYGfnx+Cg4PFNjwSzSyThK22dhSTJf3790d8fDy7SVMzUlNT8cUXX2DBggUtJmBJA6mLW7RkDAAqKysBAA4ODmLHpWFLnujq6iqML7KitrYWmpqa8nZDDLm3uYVCIcLCwmBtbQ0NDQ24ubnh4MGDYmk6uryptZ/+EydO4PXXX4eWlhYMDQ0xfvx4ZGVltenP5cuXMXz4cOjq6kJXVxeenp74/fffmfO2trb49NNPsW7dOpiZmUFHRwdBQUEoLy9n0rTWLGnOnTt3YGZmhrlz50IoFAJompszYMAAaGpqwszMDP/85z8hEAjav4md4MqVK+jfvz80NTXh6emJy5cvi51v7R42b9Ls3r0bHA4H165dg6+vL7S0tPDtt98CAL7++mv06dMHmpqaMDU1xbhx4/DkyRNcuHABEydOBPB3VARbW1uJXltz5C7ukJAQfPXVV3jnnXdw8uRJDB06FEFBQS3mfmdnZ2PVqlVYu3YtwsPDUVhYiJkzZ+Jl3fT79u3D1KlT4eDggCNHjmDXrl1wcnLCs2fPWk3//PlzBAYGwt7eHseOHcPRo0cxd+7cFm3E8PBwxMbG4pdffsHWrVsRFRWFJUuWdPiab9y4AV9fX0yaNAl79uyBiooKjhw5gqlTp+L111/HyZMnERoaip9//hlr1qzpcLntUV1djbfffhvLli3D77//Dn19fQQEBODJkyddKm/27NmYOHEioqOjERgYiL1792LDhg345JNP8L///Q8//fQT+vTpg6qqKvTv3x+bN28GABw/fhzx8fE4ceKExK6tVSQ2S6UDVFRUEADatWsXEREVFxcTj8ejsLAwsXQBAQHk5OTE/N/RpWV4Yf9HoVBIFhYWNGXKlA77l5iYSADo+fPnbaaxsbEhPp8vNmlp//79xOFw6N69e0TUtI4QzZZMiXxLSEggfX19WrFiBbMUq7GxkaytrWnBggVitnbu3EmamppUVFTU4Wtoi9DQUAJABw4cYI5VVFQQn88XW9/64j18Me+LE9pEE7e+//57sXTvv/8+TZ06tU0fTp06RQAoIyOjm1fTMeRac9+5cwfV1dUtQjbMnDkTqampYjVse0vLmvPw4UPk5+e3O4f6RRwcHKCjo4M5c+YgMjKyzbd6f39/6OjoMP9PmTIFRITExMSXln/lyhX4+/vjnXfewQ8//MDMd05NTUV2dnaLpVd+fn6ora1ts3lDRGLpmy/IaI0pU6Ywf+vo6MDf37/F8reO0nwXZE9PT0RHRyM0NBTXrl1jmlvyQq7iFq3YaL7sSfR/SUkJc6y9pWXNKS4uBoCXLnlqDp/PR0xMDAQCAWbMmAFjY2NMmDAB6enpYumaLyPj8XjQ0dF56QoUAPjjjz/Q0NCAefPmiR0vKioCAIwfP15s6ZWo56etpVd79uwRS79o0aKX2tfR0YGWllaLa2nP77Zo/twWLVqEDRs24MiRIxg0aBBMTU0RHBwsN5HLde93kfAKCwthaGjIHH/69CkAMAsHuoKovM4+OB8fH5w9exY1NTWIjY1lVui8uBd7awuKKysr2/0iBQcHIzY2FmPHjsWlS5dgb28P4O/r/Pnnn+Hl5dUiX1vdmxMnThT7tWivH7uyshI1NTViAi8sLBTzW0NDA/X19WL5SktLWy2v+UobLpeLjz/+GB9//DFycnJw4MABrF27FlZWVmJL/mSFXGtud3d38Hg8sd4IADhy5AicnJxgbGzc5bKdnZ1haWmJPXv2dCm/lpYWJk6ciEWLFrUIqBMTE8N0awJNPTIcDqfdtZ9qamo4evQonJycMHr0aOTl5Yn5mpmZiQEDBrT4vPjFfxFDQ0OxdB3pfXjxJa6yshIxMTF4/fXXmWNWVla4f/8+839jYyPOnTvXbrnN6d27N/71r3+hT58+zP1r79dW0si15jYwMMBHH32E9evXMwuDjx8/jujo6E7FF2wNLpeLTZs2ISgoCEFBQZg9ezY4HA7i4uIwe/bsVoUYFRWF3377DZMnT4a1tTXy8vKwY8cO+Pn5iaXT0tLChAkTsGrVKhQUFGDVqlWYMmVKhwajtLS0cOrUKYwZMwZjxozBxYsXYWxsjC1btmDu3Ll4/vw5AgICoK6ujvT0dERERODo0aPg8Xjduh8i22vXrkVlZSUsLCywefNm1NfXi615nTJlCrZv3w4vLy/Y29vj119/ZZbntce7777LrD/V09PD+fPn8ejRI3zzzTcAmr7EALBjxw7MmjULPB4Pr732Wrevq01k8tr6/zTvLSEiamhooJCQELKysiI1NTVydXWl/fv3i+Xr6PImtPKmf+zYMerfvz9paGiQgYEBjR8/njIzM1v178GDBzRt2jSysrIidXV1srS0pHfffZeKi4uZNDY2NvTJJ59QaGgomZiYEI/Ho1mzZlFpaSmT5mW9JSJKSkrIw8ODvLy8mKVV0dHRNGzYMOLxeNSrVy/y8PCgtWvXkkAgaOfOto+ox+PixYvk4eFB6urq1K9fP/rzzz/F0lVUVNC8efOIz+eTqakprVu3jkJCQlrtLWm+zG3Xrl00ZMgQ4vP5pKWlRa+99hr9+uuvYmk2b95M1tbWpKKiQjY2Nt2+rpfBzufuJLa2tnjrrbeYPlsWxUXugzgsLNKCFTeL0sI2S1iUFrbmZlFaWHGzKC2suFmUFlbcLEoLK24WpYUVN4vSwoqbRWlhxc2itLDiZlFaWHGzKC2suFmUFlbcLEoLK24WpYUVN4vSwoqbRWlhxc2itLDiZlFa/g+nMZ9aGiHRkAAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Get mean burst-tonic phase difference\n", "mean = circmean_angle(df_sig['phase_diff'])\n", "print(f'Mean phase diff: {mean:.2f}')\n", "# V-test for non-uniformity and mean of pi\n", "p, v = vtest(df_sig['phase_diff'], np.pi) \n", "print(f'V {v:.2e}, p {p:.2e}')\n", "print(f\"N = {len(df_sig['phase_diff'])} neuron-CPD pairs\")\n", "\n", "# Plot circular histogram of burst-tonic phase difference distirbution\n", "ax, _ = plot_circhist(df_sig['phase_diff'], bins=np.linspace(0, 2 * np.pi, 9), color='black')\n", "\n", "# Format axes\n", "ax.set_xlabel('$\\Delta$ Phase preference' + '\\nTonic spike - burst')\n", "ax.set_yticks([0.25, 0.5])\n", "ax.set_yticklabels([])\n", "\n", "set_plotsize(w=1.5, h=1.5)\n", "ax.get_figure().savefig(FIGUREPATH + 'phase_diff_circhist' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "0473a8f1", "metadata": {}, "source": [ "### Figure 2E\n", "Tonic and burst tuning strengths, binned by CPD timescale." ] }, { "cell_type": "code", "execution_count": 14, "id": "e5bfb4e3-10f9-4208-8774-ba32d762d47f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "burst: \n", "Krusakl-Wallis: k=3.340e+01, p=3.138e-06\n", "N=312 CPD-neuron pairs\n", "tonicspk: \n", "Krusakl-Wallis: k=6.557e+01, p=8.537e-13\n", "N=680 CPD-neuron pairs\n", "Burst vs tonic: w=3.126e+03, p=8.022e-34\n", "N = 278 CPD-neuron pairs\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "positions = np.log10(FREQUENCYBINS[:-1]) + 0.25 # x-positions of violin plots\n", "xoffset = 0.05 # offset to stagger burst and tonic spike distributions\n", "for spk_type in ['burst', 'tonicspk']:\n", " # Get all neuron IMF pairs with significant coupling\n", " df_sig = df.query(f'{spk_type}_sig == True').copy()\n", " df_sig = df_sig.query(f'{spk_type}_strength >= 0') # needed to ensure log transform, very rare but possible that couping strength is < 0\n", "\n", " # Sort coupling strengths according to CPD timescale\n", " strengths = sort_data(df_sig['%s_strength' % spk_type], df_sig['freq'], bins=FREQUENCYBINS)\n", "\n", " # Violin plot for each timescale bin, log-transformed couplign strengths\n", " violins = ax.violinplot([np.log10(s) for s in strengths], positions - xoffset, widths=0.2, showmedians=True, showextrema=False)\n", " # Some formatting to make the plots look nice\n", " for violin in violins['bodies']:\n", " violin.set_facecolor('none')\n", " violin.set_edgecolor(COLORS[spk_type])\n", " violin.set_linewidth(1.5)\n", " violin.set_alpha(1)\n", " violins['cmedians'].set_color(COLORS[spk_type])\n", " violins['cmedians'].set_linewidth(1)\n", " xoffset *= -1 # update offset for next spike type\n", "\n", " # Perform Kruskal-Wallis test for differences in coupling strength across timescale bins\n", " print(f\"{spk_type}: \")\n", " k, p = kruskal(*[s for s in strengths if len(s) > 2]) # only include timescale bins with more than two coupled neurons \n", " print(f\"Krusakl-Wallis: k={k:.3e}, p={p:.3e}\")\n", " print(f\"N={sum([len(s) for s in strengths])} CPD-neuron pairs\")\n", "\n", "# Format x-axis\n", "ax.set_xticks(FREQUENCYTICKS)\n", "ax.set_xticklabels(FREQUENCYTICKLABELS)\n", "ax.set_xlim(left=-3.11)\n", "ax.set_xlabel('Timescale (Hz)')\n", "\n", "# Format y-axis\n", "yticks = [-4, -2, 0]\n", "ax.set_yticks(yticks)\n", "ax.set_yticklabels(['$10^{%d}$' % tick for tick in yticks])\n", "ax.set_ylabel('Coupling strength')\n", "\n", "# Wilcoxon test comparing burst coupling and tonic coupling strengths overall\n", "df_sig = df.query('(tonicspk_sig == True) & (burst_sig == True)') # only for neurons with significant coupling in both spike types\n", "w, p = wilcoxon(df_sig['burst_strength'], df_sig['tonicspk_strength'])\n", "print(f\"Burst vs tonic: w={w:.3e}, p={p:.3e}\")\n", "print(f\"N = {len(df_sig)} CPD-neuron pairs\")\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=3, h=2, ax=ax)\n", "fig.savefig(FIGUREPATH + 'tuning_strength' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "81d9245b-9eec-439f-a24d-0afaec2ed986", "metadata": {}, "source": [ "### Fig 3F\n", "Coupling strength decay from strongest to weakest timescale." ] }, { "cell_type": "code", "execution_count": 15, "id": "ad7824d0-4736-4103-9451-b5c03b2853d6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: phasetuning_spontaneous_desync.pkl\n", "Loading: phasetuning_sparsenoise_desync.pkl\n", "Neurons with significant coupling: 0.986 (146/148)\n", "Tonicspk prop. significant: 0.980 (145/148)\n", "Tonicspk num. CPDs per neuron: 3.80, 1.57\n", "Burst prop. significant: 0.742 (89/120)\n", "Burst num. CPDs per neuron: 2.08, 1.71\n" ] } ], "source": [ "# Load spike data from gray screen and sparsenoise experiments\n", "# 'desync': coupling measured only after removal of periods in which\n", "# the IMF couples to other IMFs in the recording ('desync')\n", "conditions = ['spontaneous', 'sparsenoise']\n", "df_desync = load_data('phasetuning', conditions, subsample='desync')\n", "\n", "# Assign significance based on p-value from shuffled permutation test\n", "df_desync['tonicspk_sig'] = df_desync['tonicspk_p'] <= 0.05\n", "df_desync['burst_sig'] = df_desync['burst_p'] <= 0.05\n", "\n", "coupling_summary(df_desync)" ] }, { "cell_type": "code", "execution_count": 27, "id": "f2a5dbef", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tonicspk 1->2: 62%\n", "Burst 1->2: 63%\n" ] }, { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for spk_type in ['tonicspk', 'burst']:\n", " # Get unit-IMF pairs with significant coupling, group by neuron\n", " units = df_desync.query('%s_sig == True' % spk_type).groupby(['m', 's', 'e', 'u'])\n", " # Get sorted, normalized coupling strengths for each neuron\n", " strengths = np.full((len(units), 6), np.nan)\n", " for i, (idx, unit) in enumerate(units):\n", " s = np.sort(unit['%s_strength' % spk_type]) / np.nanmax(unit['%s_strength' % spk_type])\n", " strengths[i, :len(s)] = np.flip(s) \n", " # Mean strength decay across neurons\n", " decay = np.nanmean(strengths, axis=0)\n", " print(f\"{spk_type.capitalize()} 1->2: {decay[1] * 100:.0f}%\") # second strongest as percentage of first\n", " err = sem(strengths, nan_policy='omit', axis=0) # standard error of mean\n", "\n", " # Plot mean strengths and SE\n", " fig, ax = plt.subplots()\n", " ax.plot(decay, color=COLORS['%s' % spk_type], lw=1)\n", " ax.plot(decay + err, color=COLORS['%s' % spk_type], ls='--', lw=0.5)\n", " ax.plot(decay - err, color=COLORS['%s' % spk_type], ls='--', lw=0.5)\n", "\n", " # Plot mean number of CPDs with significant tuning per neuron\n", " units = df_desync.dropna(subset='burst_p').groupby(['m', 's', 'e', 'u'])\n", " n_imfs = units.apply(lambda x: x[f'{spk_type}_sig'].sum()).mean()\n", " ax.scatter(n_imfs - 1, 1, marker='v', s=7, fc='none', ec=COLORS[spk_type])\n", "\n", " # Format axes\n", " ax.set_xticks(np.arange(len(decay)))\n", " ax.set_xticklabels(np.arange(len(decay)) + 1)\n", " ax.set_xlabel('CPD (sorted)')\n", " ax.set_yticks([0, 0.5, 1])\n", " ax.set_ylim(bottom=-0.05, top=1.05)\n", " ax.set_ylabel('Coupling strength\\n(norm.)')\n", " \n", " clip_axes_to_ticks(ax=ax)\n", " set_plotsize(w=1.5, h=1.5, ax=ax)\n", " fig.savefig(FIGUREPATH + f'coupling_strength_decay_{spk_type}.svg')" ] }, { "cell_type": "markdown", "id": "66c2cafd", "metadata": {}, "source": [ "### Figure 2G\n", "Distribution of preferred timescales for each recording session." ] }, { "cell_type": "code", "execution_count": 28, "id": "e0333b7c-e22f-4517-a48f-a13d3d03b3c2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tonicspk\n", " df sum_sq mean_sq F PR(>F)\n", "C(mse) 14.0 0.452917 0.032351 3.159218 0.00025\n", "Residual 141.0 1.443876 0.010240 NaN NaN\n", "Burst\n", " df sum_sq mean_sq F PR(>F)\n", "C(mse) 14.0 0.372257 0.026590 2.57268 0.00252\n", "Residual 141.0 1.457300 0.010335 NaN NaN\n" ] }, { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for spk_type in ['tonicspk', 'burst']:\n", " # Get IMF with strongest coupling for each neuron\n", " units = df.groupby(['m', 's', 'e', 'u'])\n", " pref_timescale = units.apply(lambda x: x['freq'].iloc[np.argmax(x[f'{spk_type}_strength'])])\n", " # Get the distribution of strongest coupling timescales for each recording session\n", " sessions = pref_timescale.groupby(['m', 's', 'e'])\n", " session_dist = sessions.apply(lambda x: np.histogram(x, bins=FREQUENCYBINS, weights=np.ones_like(x) / len(x))[0])\n", " modes = session_dist.apply(np.argmax) # mode of each distribution\n", " mat = np.row_stack(session_dist.loc[modes.sort_values().index]) # stack distributions into a matrix, sorted by mode\n", " \n", " # Convert strongest IMF Series into a DataFrame\n", " df_anova = pd.DataFrame(pref_timescale.values, columns=['timescale'])\n", " # Combine MSE dict into a single string identifier for the session\n", " df_anova['mse'] = [('_').join([str(i) for i in idx[:-1]]) for idx in pref_timescale.index]\n", " # Perform ANOVA, does preferred timescale vary significantly across recordings?\n", " anova_model = ols('timescale ~ C(mse)', data=df_anova).fit() # use formula to specify model\n", " print(spk_type.capitalize()) \n", " print(sm.stats.anova_lm(anova_model))\n", "\n", " # Make a piece-wise linear colormap to be able to see small values\n", " # but still have linear color scaling\n", " nodes = [0.0, mat.min(), 1.0]\n", " rgba = np.array(to_rgba(COLORS[spk_type]))\n", " rgba2 = rgba.copy()\n", " rgba2[-1] = 0.25 # minimum entry in mat has alpha=0.25\n", " cmap = LinearSegmentedColormap.from_list(spk_type, list(zip(nodes, ['white', rgba2, rgba])))\n", "\n", " # Plot distributions (each row is one recording session)\n", " fig, ax = plt.subplots()\n", " im = ax.imshow(mat, cmap=cmap, vmin=0, vmax=1)\n", " # Add white lines between rows\n", " for i in range(len(mat) + 1):\n", " ax.axhline(i - 0.5, color='white')\n", "\n", " # Colorbar\n", " bbox = ax.get_position()\n", " cax = fig.add_axes([bbox.x0, bbox.y1 + 0.05, 0.3, 0.015])\n", " cbar = plt.colorbar(im, cax=cax, orientation='horizontal', ticks=[0, 1], label='Prop. neurons')\n", " cax.xaxis.set_label_position('top')\n", "\n", " # Format axes\n", " ax.set_xticks(np.arange(len(FREQUENCYBINS))[::2] - 0.5)\n", " ax.set_xticklabels(FREQUENCYTICKLABELS)\n", " ax.set_xlabel(\"Timescale (Hz)\")\n", " ax.set_xlim(left=-0.75)\n", " ax.set_yticks(np.arange(len(mat)))\n", " ax.set_yticklabels([])\n", " ax.set_ylabel('Recording session')\n", " \n", " clip_axes_to_ticks(ax=ax, ext={'left':(-0.5, 0.5)})\n", " set_plotsize(w=3, h=4, ax=ax)\n", " fig.savefig(FIGUREPATH + f'timescale_prefs_{spk_type}' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "267276e2", "metadata": {}, "source": [ "### Figure 3A\n", "Pupil size matching: try to minimize differences in pupil size distribution across phase bins of each CPD via sub-sampling." ] }, { "cell_type": "code", "execution_count": 29, "id": "43137b81-448b-4c05-be20-8cb5c079c466", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: hht_spontaneous.pkl\n", "Loading: hht_sparsenoise.pkl\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_53393/1370940349.py:17: RuntimeWarning: All-NaN slice encountered\n", " data['matched_diff'] = np.nanmax(np.abs(matched))\n" ] } ], "source": [ "# Load Hilbert-Huang transform pupil data from gray screen and sparse noise experiments\n", "conditions = ['spontaneous', 'sparsenoise']\n", "df_hht = load_data('hht', conditions)\n", "\n", "# Get mean pupil size difference across phase bins for each IMF\n", "sizematching = [] # data for each IMF will be collected in this list\n", "for idx, row in df_hht.iterrows(): # loop over recordings\n", " # Need to unpack data for each IMF from arrays stored for each recording\n", " # matched/ unmatched: pair-wise comparison of mean pupil size across IMF phase bins\n", " for (unmatched, matched, freq) in zip(row['unmatched_meansize'], row['matched_meansize'], row['frequency']):\n", " # Store data for each IMF in a dict\n", " data = {'m':row['m'], 's':row['s'], 'e':row['e']} # recording session ID\n", " data['freq'] = freq # charactersitic frequency of IMF\n", " # Get the pupil size diff: each combination of phase bins of IMF has a \n", " # mean pupil size difference, we collect the maximum difference\n", " data['unmatched_diff'] = np.nanmax(np.abs(unmatched))\n", " data['matched_diff'] = np.nanmax(np.abs(matched))\n", " # Append IMF data dict to list\n", " sizematching.append(data)\n", "# Convert list of dicts to dataframe, sort by IMF frequency\n", "df_sizematching = pd.DataFrame(sizematching).sort_values('freq')" ] }, { "cell_type": "code", "execution_count": 30, "id": "0c168b98", "metadata": {}, "outputs": [ { "data": { "image/png": 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C2toawP8cGrpwHIe+ffuib9++8PHxYXY6xgOJyYTmoEGD8Ntvv7X42c6dOxEdHW2UcaqrqzF+/HhwHIe9e/di2bJlWL16NZYvX97mefX19fj1119hbW3d7lxCQkJw/vx53svPz88o8+9q7Ozs6PKxuLiYVhfy9fXtymkxGPcsJluef/LJJ5gwYQLGjx+PJ598EhzHIS4uDt988w127tyJM2fOGGWcNWvWoKGhAbt27YK9vT0mTJiA2tparFixAu+88w7s7e1bPE8sFqOqqgocx+GHH37QC6fRxcbGBkOHDjXKfO81OI7Dk08+iS1bttCIBicnJ0ycOLGLZ8Zg3JuYTNMcOXIkjh8/jsbGRixatAiEECxfvhx5eXk4duwYBg0aZJRxDh48iEmTJvGEY2xsLBoaGnD69Ok2z2X2piY8PDzw+uuvY+TIkYiKisKIESNYXjaD0QomjdMcPnw44uPjUVtbi1u3bkEqleLs2bMYPny40cbIzMzkOSyApkwVa2tro9kd09PTYW9vDwsLC4wYMaJdYdwdMTc3h5OTE2xtbdnDhMFoA5MJzTNnziA/Px9AU2iKl5cXdTJIpVKjLc+rq6tbjBV0dHSkwcV3Q//+/bF69Wrs27cPmzdvhlqtxoQJEwzaSbMlR5LuyxTU1dUhPz8flZWVJumfwXhQMZlNc8yYMbCyssLatWsxZ84c3mfp6ekthiLdi7zxxhu891OnTkVYWBhWrlyJPXv2dM2k0JSal52djbq6Onh7e8PT05N+9s8//+Dvv/+m9zcyMhLTp09nGiSDYQRMWrDjoYcewty5c3Hx4kV88803JqmI4+joiJqaGr326upqkxSYtba2xtSpU3mVbNqjvYrshgqzxsZG/Pbbb3T7BgCYMGECoqOjIZFIsHfvXrpvOdBUCV1bsMJUEEKQmpqKf/75BwAQERGBvn37drqgVqvVEAgE7AHBMBkmFZqLFy/Gs88+i2eeeQYpKSnYuXMn3NzcjDpGSEiInu3y5s2bqK+v17N1GgtTLqs7wrlz53gCEwCOHj2KPn36oKioiArMUaNGISEhARqNBgUFBSYVmhcuXMDhw4fp++vXr6OhoaHTog5qamqwZ88e3LhxA0KhEMOGDcOYMWOY8GQYHZMX7Hj44Ydx4cIFVFRUoH///jh//rxR+58yZQoOHz7MKwCyfft2WFlZYfTo0UYdC2gK+j5w4ACioqKM3ndHKSsrAwCIRCJMnjyZtpeXl1O7MdCUI64VoKbO3ElISAAAmJmZ0RJoR48exYEDB1BXV2fSsQkh2LZtG27cuAGgaQvgM2fOGGR3ZjA6SqeUhgsKCsLFixcxZMgQxMTE4NdffzVa3y+99BIsLCzw+OOP49ixY/j555+xYsUKvP3227wwpMDAQCxYsIB37sGDB7Fz506aFrhz507s3LmTpnjW1NRg5MiRWLt2LY4fP47t27cjJiYGxcXF+OCDD4x2DYaidXwpFApeDr9YLIafnx/dZVGb1WNpaWm0EK+WIITwSqJpzREajQbJycnYsGEDFAqFycavrKykFbTc3Nxgbt60gEpLSzPZmIwHl04rQmxra4tdu3bhk08+wYoVK4zWr6OjI44fP45FixZh2rRpEIvFeOutt/TGUKlUeo6nl19+mZcD/+STTwIANmzYgHnz5sHCwgKurq749NNPUVZWBktLSwwbNgynT5/GwIEDjXYNhhIdHY309HReubaoqChq+nj66aeRkJBAK6yPGDHCpBuIcRwHPz8/5OXlQSKR8NoJIaisrMQvv/yC0aNHIzw83CTja2lsbKTaNVuaM0yByYRmfn4+z6OrZenSpYiJicH169eNNlZoaGibGT0A6NKtvTZdLC0tsWvXrruYmWmws7PDwoULcfnyZchkMvTs2ROhoaH0c5FIhLFjx3bqnKZPn44tW7ZQ0wHQZBKQyWQAgIqKCvz1119Qq9V61ZLuFicnJ/Ts2RM3b97kOQU7a8thxoOFyZbnvr6+rRZ0GDFiBObOnWuqoR8IrK2tMWLECEyePBlhYWFdrlU5ODhg4cKFPE1SKzCB/2l9xrZpa/ueNWsW+vTpA3Nzc4hEIoSHhxtdaGo0GuTl5SE1NdUoMcCM7olRNc3Bgwdj48aNCA0N5VX3bgmO42hJMsb9gUAgQEBAAKRSKc/sYWdnB5VKhYaGBsjlcpOMbWNjg5kzZyIlJcUk+wApFAps3rwZhYWFAJqudfr06UbXmhn3PkYVmmFhYTRn+V7Qfhhdg5+fH2xtbXH9+nXI5XJeZEOvXr26cGZ3TkJCAhWYQJPWuW/fPgQEBMDW1rYLZ8bobIwqNDds2ED/v3HjRmN2zehmiEQiREREID09nYYcubq6YtKkSV08sztDGxcrEong7++PrKwsqNVqlJWVMaH5gNHpW/hql06M+x9ra2uMGzcOUqkUdXV18PDwgIWFRVdP647Qhq8pFApkZWXptTMeHEzmCPrpp5/w5Zdf0vcpKSnw9vaGs7MzoqKicOvWLVMNzbiH4DgO9vb2bVbHv9e5desWhEKh3v7ukZGRcHFx6aJZMboKkwnN77//nvcUfv311+Hl5YXNmzdDo9HgvffeM9XQDIbRSEpKwrp163Dx4kUolUqYmZnB2dmZFkFhPHiYbHleWFiI4OBgAE3pfWfPnsXx48cxZswYiEQiLFq0yFRDP3CUlZWhsLAQVlZWCAoK0tOIujNqtRpHjx7F1atXQQhBeHg4Jk+eTLN+jMHNmzdx6NAhVFRUwNXVFVOmTEGPHj3Q2NiII0eO6M2H4zj4+vq2qzmrVCpkZGQgNzcXzs7OGDZsGCwtLY02b0bXYDKhaWFhQVPnTp48CWtra4wcORJAUzCybuYI4865dOkSDhw4QFMX3dzcMG/evPum8vrRo0d5oWmXLl2CRqMxmpZXXV2N33//ne7CWVRUhN9//x0vv/wyGhsboVKpADSlAt+8eRMNDQ00ZZQQgvj4eCQmJkKhUCAwMBDTpk2DjY0NVCoVrly5QvdcApoKZi9YsIBtSNfNMdnyfPDgwfjxxx+RlpaG7777DpMnT6al4fLy8uDl5WWqoR8Y6urqEBcXxys9V1ZWdl9UlpdKpTh58iQVmBYWFrQYyT///NNuub2OkpaWRgWmq6srgKZUzIyMDIjFYqrRZmdnU2GpncfFixdx8uRJNDQ0QK1WIysrC3/++ScIISgqKqICU6uRlpWV4dq1a0aZN6PrMJnQXL16NdLS0hAREYGbN2/is88+o59t377dqFtePKhUVFTQPOt+/fpRDaa0tPSO+1Sr1SgoKMCZM2eQl5dnlHkailwux9WrV3m59bo55YQQowlN3bqj2upM2naRSISpU6fyjjc3N4e/vz8A0NqhQqGQRoQUFhaipqaGF8Svm5mkG7PK6J6YbHkeGhqK69evo7KyEk5OTjz7z6pVq+Dh4WGqoR8YdEO3rl692mK7ISiVSly+fJm3pAwMDESPHj3udIp3RGlpKS2uYm1tTeejFUTh4eE8AXc3hISE4PTp09BoNPRhY2ZmRu3x/fv3h4eHBxISEqBQKGBlZUVNH7qCu3kxGN0CKVeuXKH/7+x7yTA+Jo/TdHZ21muLiIgw9bAPBA4ODoiOjsa5c+dom0gkwqhRowA0/ahPnTqFS5cuQaVSoU+fPpgyZUqrNrXc3FyewNS2icXiVgWxUqlEUlISysrK4OjoaHRbqp2dHW9O3t7eeOihh+h7Qghu3ryJ2traFgvEtIebmxtmzpyJPXv2QC6Xw9LSEjNmzOD93Xp6eqJ3796QSCQ87bdv3764ffs2lEolXeL37NkTDg4OcHNzg7e3Ny+0rlevXggICDB4jox7i04PbmcYl/Hjx6Nnz55ISkqCWq1GSEgI1XLi4+N5G9ilpKRAoVDQEnjN0V069u/fn2pIzQWpFo1Ggz/++IOXXmhra3vX+dju7u4wMzODWq3mmRr69+8PHx8fKvTVajV27NjBCzYPDw9v8UHdFsHBwZg4cSKqqqrg5OSEwMDADp03ZMgQyOVynD17FiqVCu7u7pg1axZdVQUEBKB3796QyWQghKBHjx7dNlaV8T+Y0OzmcByHkJAQyOVySCQSXkiLtriyhYUFRCIRpFIp0tPT0djY2GJmjp2dHW7fvg2Av6TUrQavS0lJCU9gAk2VjUpKSu4qU8bS0hJ9+/ZFbm4upFIpLCws4OXlRfvUaDQ4d+4ckpOT9faHunbtGgYNGmSwiYLjOJiZmRkk1DiOw5gxY+Dg4ACJRAJHR0e9Cvn29vawt7dn0SL3EUxodjMaGxtphoq3t3ebtj2tzU1bDLh5e3MCAgJw69YtnmYZEBDQ6lYZWm8ywNdMGxsbO35BrWBvb4+xY8eCEIKamhresvjw4cN6W1l4eXnR/PDOdrZoBW1BQQFu374NBweHFmNllUolFAoF1Go1pFIpxGIxCz/qhjCh2Q1QqVRITU1FQUEBMjIyaPyrl5cXnn766VY1wbCwMJw9e5bnyQ0MDGw1wFokEmHAgAEoKCiAQCCAp6cn3N3dW9WSdLU5Xc3Uzs7OwCtsneaan1qtRnJyMgDQJTwA3kZznZ3fTghBeno6KioqaJuumUKhUOCff/5BdXU14uLi6DEikQiPPPIIr4B0RygpKcGhQ4dQXl4OZ2dnTJo0qUUHkzYKQiaTwdvbG+PHj79v4ne7EiY073GUSiU2bdqEoqIivc+Ki4tx9OhRPPLIIy2eGxMTA4VCgeTkZBBC4OHhgccff7zN8czMzODi4gJ7e/t2l7jOzs4YMWIE3VQNaPIau7q6mkzbU6vVNExILBajsrKS97m7uzscHBxaPV+pVOKff/7B5cuXYWVlBbFYDEtLy7vyxldWVvIEJtBkpigqKoKLiwsuX77cYtFihUKBXbt2wdPTs8PbkUilUvz2229Uy6+vr8dvv/2Gl19+mfd9FRUV4bfffqP3qqysDKWlpZg/f77RIg8eVIwqNNsrPNwctltg+1y6dKlFgWllZYWGhgbcvHmz1XPNzMwwdepUeHp6orq6Gk5OTkbXNMaNG4ewsDAkJSXR+ElTOjuEQiF69OiBoqIinsC0tLREYGAg/P39eUt5XdRqNVJSUlp0bHEch9DQ0DsK19LdbVPXTCGXy3nOLHNzc5phJBAIoNFooFarcePGjQ4LzYyMDCow3dzcUFZWBoVCgWvXrmHEiBH0uOTkZN5OpHV1dSgqKsLNmzfh6+tr8DUy/ofRixAz76Bxaa5JadH+cDqyNS/HcSbVLjw8PNCzZ0+9kBxTwHEcZsyYgW3bttH9iOzs7NC3b992Kw6VlpbysnSa23lzcnJoSFBFRQXi4+NRU1MDDw+PNj3yupqtrpnC1tYWAoGAjqUbSK/7/46aEwoKCqhzDwDvAagVxlq0dmUzMzPY2dlRwW7KXUEfFIwqNFnhYeOjTe1rjVGjRuHMmTM0vz86OrpT5qVUKlFYWAiVSmWU2MPa2lrcvn2btwVwazg6OuKll15CQkIC6urqoFAoeAU8ampqkJmZiUuXLsHPzw+jRo2CUCiksZTN0WrtCoUCGo0G1dXVWLduHbUFFxQUwMHBAX379m3xfLFYTDd202JnZwdPT09wHAcfHx8UFBTwBKUWFxcX9O7du937k5WVhe3bt/Puje6WIiEhIbzjAwMDkZGRAbVaTbc3trCwgLe3d7tjMdqG2TTvcQYMGID09HTeD8TKygp2dnYIDg7Gjh078P777yMyMhJisRhHjhzBpk2bTJrbL5PJkJycDIVCgStXrsDc3BxRUVEdquCjUChw4sQJ5Ofnw9LSEtHR0ZDL5fj777+pUPHw8GhXkHAcBzs7O6jVap72VFVVxdPGbt26hdLSUsyePRtOTk60XVf46O4Pb2ZmhuTkZCowLSws0NjYiJqaGlRXV7daQapXr17w8/NDTU0NNBoNzM3NqXYfERFBhZdW8zQ3N4eTkxNmzpzZoapUJ0+ebPFhYm5ujsjISL0Mu/79+6O8vByJiYkAmpxOsbGxzBFkBLpsYzWA2TQ7grm5OZ555hkcPHgQlZWV8PDwgJubG41P/Pe//807vqKiAh9//DHWrFmj15dcLkd+fj6cnJzadJY0R6lUIj8/H1KpFP7+/rh27RpPUGkr+gwdOrTdvnbu3ImcnBz6vrCwkNr3tJSUlMDa2pon5DqK7tbQlpaWkMvlyMnJQXl5OX3Q5OTk6Gl9HMchKCgIAD+Uyt3dncaiKpVKCIVCqFQqXL16FefPn4eNjQ08PT0hFArh5OREK3jpminMzMwQEBAAV1dX2Nvbo7a2ljratFtlKJVKNDY2wsbGpsXfjdaxpi0ionU8DR48uMXVCMdxmDRpEhwdHVFRUQEPDw/4+fkZfD8Z+rCN1boBZmZm8Pb2hq2tLc9RUVpaSn/8s2fPxpkzZyCRSHgZMlpu3brFEyijRo1CTExMu2M3NDTg0qVLvNhL7VLYxsYGrq6uuHHjBhQKRbv2srq6Oiowtc4J4H/2Pe2eQmq1ulXbKCEEjY2NrcY3apfgZmZmEIvFdGmqFYQeHh7o1asXZDIZ6urqUFZWBktLS1hYWFBnjL+/P7VNagUmx3FwcHCAQqFAamoqb375+flU0+8oarUaqampiI+Ph0KhQH19PTQaDZycnDBjxgy9lYK3tzeys7N54V82Njbt1hUViUSwtrZmHnMjwjZW68a4u7tTLe2XX36Bra0tZDKZnsZXXV3NE5gAcObMGfTs2bPdlMGMjAy9YHWt06Guro4KPjMzMwiFwjYD23VtiloBpNumFZgAWhSK5eXlOH/+PP7++2/Y29sjNDRUz4ni4uKC8vJyni3PysqKRhBo+3ZycoJAIAAhhGp/WsLDw1FUVETL0gkEAkRGRsLKyoqnRWrvN9AU4mOIVzozM1MvTAloMi9s3rwZ0dHRSEpKglwuh729PRXs2vsrEokwcODAFvsmhKCurs6ohZoZ/4Pd1W6MWCzGF198gXfeeQe5ubkAmrSkZcuW8Y7T9cAPGDAAly9fBgDcuHGjXaGpFQpCoZA6FwB973NERES72oy9vT0cHBxQU1PDC0Z3dnZGZWUlFZgCgUDPYVFfX8/ToGtra3Hx4kU9wREYGIjKykrqWTc3N0dQUBCvClR7cByHyZMnw97eHuXl5fD09IRIJIJEIuEt6x0dHamG2LzKUVsolUoqMHUD9LXOqvr6ehw7doweX15eTv9vbm6OgIAABAQEQCgUUs2ztLQUJ0+eRGVlJerq6qhm3bNnT7YsNzImFZoKhQIbN27ExYsXcfv2bXh6emLIkCGYO3cuSx8zEkuWLMGwYcNw+vRpODs7IzY2Vm+ZqHuvdYvgmpmZYf/+/ZBIJHBzc2sxVtDW1hbV1dVQKpU8gRkZGYni4mIIhUL4+fnB2dm53fxqgUCA2NhYbN++nR7bs2dPzJkzB0lJSUhLSwPHcRCLxXoOC90cc62nWqPRoLKykpfnLhAI0KdPH7i6uqKiogKlpaW4evUqrl69Chsbm3aLidTW1uLMmTM0D93BwYF3/6ytrWm8pa633BD7q67gNTc3p0KzedhQ8weT9pj6+nqe86iurg4bNmxoUcvXzlF3fmq1GiqVqtvuDNrVmExoZmRkYPLkySguLkZUVBTc3Nxw7do1/Pbbb/jkk09w6NAhg9PHGC0zYsQIXmBzc7y8vJCZmUnDaoAmr/Dly5epJnn9+nXY29vrCZWQkBCUlpby7JWhoaFUUHUkc0gXDw8PvPbaazh37hzq6+vh5uYGkUiE4cOHw8bGpkOxnrrZRq3ZzXXrY2qpq6tDYWFhq2Fc5eXlyMjIoILKzMwMffv25V2fmZkZwsPDeWYLFxcXg6IVtHbG+vp6nqBrLiBbC71qbjsuLCxsUWBqNVetVksIwfHjx5GYmAi1Wg1vb288/vjjHQ6sZzRhMqH54osvwsHBAfHx8fDx8aHthYWFePjhh/HSSy/xypYxTIe5uTn69++P27dvQyqVQigUwsbGhi7ptZpTbW0tKioqeKFD1tbWGDhwIAoKCmBubo6ePXt2SKtsC4FAAFtbWz3Nqi2cnJxQVlYGjUZDxzY3N4eLi0uLAkO3rV+/fkhNTYVGo+F5xnXRBrc3Lyycm5vL+/sFmuyxEydORF1dHeRyORoaGgyujhQWFobMzEz6ANDVKrUmjNZoHvnQ2n3UtpuZmUEul2Pfvn284Ptbt25h69ateOmll9o1rRBCcOnSJWRlZUEoFGLgwIHo1atX+xd7H2IyoZmcnIytW7fq/cH5+Pjgo48+wlNPPWWqoRktIBQKaXC2RCLhLS19fHzo1hZKpVIv3lIoFMLNzc1grVKX+vp65OfnIy0tDT169DC4qIeFhQX69u2LrKwsKBQKODg40GLWLQlN3WvQtWe2Fqeo0WioU8rHxwe1tbWQSCStClmBQEDjRFs7pi2sra0RExMDuVwOmUyGyspKarNtKQhei5OTk15MppubW4tbk2iFsL29PY4ePUr75TgOzs7OqKioQHl5OSoqKuDm5tbmfI8dO8Yrdp2RkYFZs2bpBdU/CJhMaPr5+fGq6+gil8v1hCmjc3F2dqY/NN0fnIODQ5s/2juhrq4Oly9fpra73NxcuLi4GGyecXBwQEhICE94t6bxWlhYwNfXl5cUYGlp2erfnUAgoMtZ3RqhrVWQMgYcx8HKygqNjY00YUEqlfLMD+Hh4ejRowdqa2uhVCrpFsK6uLu7Y9y4cThx4gTN/ReJRDA3N4dYLMbt27d53ykhhHfftBsetoZCoaBB8rr58wkJCUxoGpMvvvgC//rXv+Dv748hQ4bQ9sTERCxduhSrVq0y1dCMDuDp6YmhQ4fSHwPQ9AO1tbU1OH9cKpXi9u3brWYE5eXlUYGp/dFVVFSgpqZGz56mVqtRVFSE4uJiOp87xc/PD97e3qiqqoJarYalpWWr2TccxyE4OBhpaWlUQxMIBB2u4n63cByHiIgIFBYWoqKiAubm5nB1dYWzszMsLS1haWnZpr13xIgREIlEKC8vh7u7O8zNzSGRSFBcXEwFpqenJy0yrRV8Li4uaGhoaLPQilwup324ublBIpGgvr6eV6jkQcJkQvPTTz9FbW0toqOj4ebmRiuylJWVwdnZGStXrsTKlSvp8Sw7qHPRZozY2tqirKwMHh4eNA7REJKTk7Ft2zao1WqIxeIWg+Z1HRdeXl5Uk2vu0KipqcHatWvR2NiI2tpa/Pbbb3jzzTfbXTq2hYuLC1xcXDrkYHJ2dkZMTAxKSkrQ2NgIS0tLo9YGbQ+hUIioqCgAuKPiJyKRSC/gXfch0dIupRUVFVi3bh369OmDJ554okXbpp2dHZycnFBVVcULFXtQqyWZTGiGh4cjPDzcVN0zjISNjc0db4hWWVmJAwcO8GIUU1JS4O3tDXd3d9rm5ORENxjTzbBpviXGtm3bUF5eTtsbGhrw008/YenSpQbP7U6xs7ODnZ1dp1Rs6gwsLCzg7u7Oyx5rKZQpIyMDycnJGDx4sF4fHMfhiSeewJYtW2i0hVgsxqRJk0x/AfcgJhOautlBjPsTbcYNADzxxBM0IPvGjRs8oenn54eSkhIacM5xHPr376+3nNdmLTk6OqJXr144deoUJBIJpFIpS8m9C4KDg+Hu7o6Kigq6DNdqjJGRkbh69SoIIS3WbdXi6emJ119/HadPn0ZDQwO8vb0f2OIfJhOa6enp7R7D4jS7N7rB0boZLM1/TBzHoU+fPnB2doa5uTm8vLxgaWmJoqIiFBQUIDc3F35+fhCLxSgvL0d1dTXVTM3MzGBlZdWqU5HRPhzHwd/fH/7+/pBIJDzhmJqaSrVOrf1YrVbjxIkTSE1NBdAUshUTEwOhUEhNHQ/yQ8yky/P2bqwhqWeMew9fX1/6I7p16xZsbW3h6OiIyMjIFj3wlpaWNI+6pqYGly9fpselpaUhPDwcp0+fhlwuR2VlJWQyGebMmQORSMSEphHRfk/V1dU8B52XlxeUSiWOHTvG8zEkJCRApVI9sMvx5phMaJ48eVKvrbq6GocPH8bhw4fx3XffmWpoRichFAoxb948nDhxAsnJyQgICMDs2bMhFArbtQfqlmfTFh0hhGDOnDlISUmBi4sLpk+fjqCgoDYDvSsqKpCYmIjq6mp4eHhg2rRpRr3G+xGO4xAeHo7Kykr6UqlU2LlzJ2xsbGjcq7W1NZRKJZRKJRITE5GXl4fg4OAHvmKSyYTm6NGjW2x/9NFH8eGHH+LPP//Eww8/bKrhH0gUCgWys7Mhl8vh5+fX7vYPxsDGxgbPPPMMVq9eDaDJEdQRD7xWczQ3N4eHhwddjjs5OeG5555DZGQk7a81ysvLsW7dOohEItTW1uLy5cvIzs7Gyy+/fFfX9CAgEAjQu3dvSCQSXkaRbhgRx3G8KlRlZWWoqqrCwIEDoVQqUV1dDXt7+3bjPO83uqTKUUxMTLu7IjIMQyaTYePGjbSikUAgwCOPPNLqFg1djaOjI9VwdO2XLe15pNFoUFZWhpqaGl4I0PHjxyGXy2kut0QiQW5uLm7cuNEpD4z7gaqqKgBNWqVYLOaFFOkKUO2WICqVCtnZ2aiurgYhBLa2tpgxY8YDVUmpS/TsAwcO3HE6HqNljh8/zisBp9FosH///jbrWzansbHRoHzwuyE4OFivOlFUVJReDciqqiqsWbMG+/btw/r167Fz5076Q9eGvwDglYh7UIOu7wRtBaf6+noaDSEQCPQyfXQjHaqqqqjzSCaTYdu2bS3u8GlMVCoVTp8+jT/++AN79+7llcvrbEymac6cOVOvTaFQIDMzEzk5ObzAdsbdow1ctrW1hZeXF7Kzs6FUKqmAaQupVIqff/4ZGRkZcHR0xKBBgzBx4kSTzle7t01xcTHd8Eub9aLLhg0beLGbUqkUe/bswdtvv00zeLR7DMlkMjg4OKBnz54mnfu9RvOdLg0hODgYSUlJAP6X8+7l5YWAgAA4Ozvj7NmzAEALOOvGeGpL9DU2NuLmzZsIDg6+20tpEUIItm3bxiuknZ6ejhdeeKFLVhQm0zTLyspQXl7OezU2NmLkyJHYt28f3n33XVMN/UCiTUeUyWTIzs4G8L8tGtqCEIKdO3fSWpmEEGRmZuL06dOmnTD+tzmai4tLqymY2iIW7u7utKrOzZs3oVarMWLECERFRaGsrAwpKSm4efMm5s+f/8CsYlQqFTIyMrBv3z6sXLkSKSkpBgtPLy8vWv5Omz1069YtHDhwAOnp6QgLC6PaqL29PS/+Vndl05HN4e6UoqIiKjC1c1EoFLSyfmdjMk3z1KlTpuqa0QJjxoxBXl4eLzRnzJgx7RacyM7Oplk6vXv3psv59PT0u7I7SyQSlJSUwN/fv91tiNvCzs4OGo0G5eXlkMlksLa2hpWVFd3V8eGHH8aECRNgYWGB8PBw3Lp1667K1nUnrl69ShMG1Go1CgoKoFAoWszqaQtHR0dIpVK9+1ZdXQ0XFxeEhYXRIina7xUAXZK7u7u3mFJZXV2Nf/75B7W1tSgvL4dUKoWjoyPGjx/fYv3R4uJinD59GlKpFF5eXhg3bhysrKx45hZtRS6NRtNlZhijC82GhgbExcXhxo0b8PT0xLhx43hPJ4ZpcHV1xejRo/Hzzz+DEILAwEAMHz4cH3/8MU6ePAkrKyv07t2bluQjhODVV1/FuXPnqGZWUlICGxsbiESiOw4rIYTg0KFDyMjIoOXVZsyY0WaR5LaYNm0a9u7di/r6elrCbMyYMbwYYHd3d+pt1zqV7nd0M3i0DxHtRnF3gq7te/DgwTROUy6X84qmiMVi9OvXD7m5udBoNHS3AO22HdrSgsXFxdi0aZNefQGJRIL169dj6NChGDBgAK0oX1ZWhg0bNlCb+u3bt1FcXIy5c+eivr6ehqVpa8ACXZf7blShmZeXh/Hjx+PGjRu0zd7eHn/++afJbWQPOsnJyRg7diyCg4MhFouRkpKCuLg4nDt3jgqUM2fOoKqqCnPmzEFycjL++9//0s+Apj9UW1tbuLm5YdiwYXc0jytXruDChQs8J89ff/0FPz8/vVzzjjBmzBiIRCIkJSVBJBLhoYce6vRyZNevX8e1a9cgEong7+/f7nWkpqZSW2t4eDjGjRtn0vmp1WpeXvmdoGse0Q1sbymaQSwWIygoiGqf1tbWOHbsGK0I7+npCYFA0OrupGq1GmfPnsWFCxfw1FNPQSAQ4ODBg1Rgaj31t2/fxtq1a6k9VZcePXpg0KBBd3Std4tRheY777wDgUCA+Ph4REVFIT8/H6+88goWLlyI/Px8Yw71QKNUKvVsV5988gkthquNm9MWjbWzs4OtrS0kEgmuXbuGr776irdkHj9+PHbu3Inc3Fw4Oztj1qxZvHJ+LaENA6qqquKlw+pqAlOnTsWWLVsAgMaPSiQS9OjRA1OmTOnw9YaGhiI6OhqRkZEdjgPVolarUVFRcceOkqSkJHoNYrEYbm5umDlzZqt201OnTmHv3r10h8urV6+ipqbG6IKT4zh4e3vj5s2bPOGku6qTSCRISkqCVCqFr68vxowZ02p/WnulbiUke3t7uLm58ep7tsTFixepwwhoevhqVypaAdgSKpUKf/31l94y28bGhp7TXGByHId+/frB19e3y4LsjSo0z58/j9WrV2P48OEAgD59+mDt2rXo06cP3ViNcedIpVL88ssvSE9Ph7OzM6KiohAeHg5zc3MaX+fi4oKoqCgcPnyYnsdxHC88R61WIzMzk77X3XZk7dq1CAgIaFEwyeVy/PHHH8jJyYFCoaBB5YQQfPPNN+jfvz/P8aSbj56YmAgrKyvU1tYiKSkJWVlZeOGFF4xyX1qjsLAQGzZsgEQigaOjI6Kjow0SXgqFAkeOHOG1yeVynDhxAvX19cjJyYGNjQ1v24e4uDgATQ8urfZ26NChVpM97oZ+/fpBpVKhtLQUHMfBycmJzqW8vBy//PILzM3NUVtbi/j4eGRlZWH27Nkt9qWtJ9qrVy+azSUUCjukuWqdiEKhEI6OjnRbEgCtCkztDqQt2SWbb22srWuanZ3d6r5JnYlRRfXt27f19g0JCAgAIYRXEYdhGBqNBunp6diwYQMthKJWq3HkyBF88cUXAEA1wxs3buDw4cOQyWS0oEZxcTEkEglkMhlPw7S3t4dMJkNZWRlkMhkGDhzYapaWRqPBH3/8gePHj6OwsJDncKqpqcGsWbOg0WgwYsQIiMViyOVy2q+dnR3NLNEKkoyMDF6FdGOjUCiwdetWKvwJIUhNTW0zw6g5dXV1dMk4ffp0ODs7AwAKCgrw9ddfY9++fTh06BD27t1LH0pa54hYLKYPEJVKha+//troqy0zMzMEBQWhX79+GDFiBLy9van2dejQIToX7cojKSmpzd8hx3Fwc3NDYGAgXFxcOrzU1/avUql4QrAtJ6Su5x1osk+25oHXaDQ0IgRAl++iaXT99kGufmIKVCoVnnjiCXz11Vd0qeLo6EiN89u2bQPQVPR50KBByM3NRUpKCoqLi7Ft2za89NJLyM/PR0pKCnJzcyEQCODi4oJBgwZh4cKFGD58OHx9fREbG4sTJ060+gdZUlJCHQ+637E21CknJwelpaWwsbHBggUL0L9/f/j6+vL2keE4jrfsT0pKMpkHtKysjAr24cOH06D5M2fOdEhwpqWl8bT1LVu24Pr165DL5XpzlkqlSEhIQF1dHd1Oo6ioCFlZWVSYNjQ04OTJky0WAm6Puro6ZGdn4/z589i/fz/WrVuHrVu34ty5cygqKuJpX0qlEps3b0ZCQgKAJi1Nu/IDmhJLjK3ADBgwAEDTg0l7b3r27IlXXnkFkZGRCAwMxNixYxEVFaUnH7TfS0FBAS9lEwC8vb31xgoICGg1PK2zMLr3fNKkSXpZHQAwbtw4vfY79fQ9SGzatAm7d+/mOWyqq6vpU1l7T8ViMc6dO4czZ85AIpEgOjoaHh4eePTRR/Hxxx9jwIABuHXrFt2CVou/vz+mTZtG//Bbovl2uLreVG0xDaFQCAcHB5SWlsLW1haxsbF0zl9//TVycnLQ0NBAtTJbW1ukpaWhtLS0xb3a7xZdrSUjI4MuFyUSCb799ls4OTmhT58+GDx4sJ5jJycnBzt37uS1a221w4cPp30/88wzOHr0KIAmDf+tt96CUqmEWCymsaMA8PLLL9OtgbOzs/W2SS4rK8OFCxdQW1uLnj178uy9qamp+P3332m/Wlupdv96sViMQYMG0XP27NlDbdnabYK1gf+2trYoKipCXFwcLC0tjXbPw8LCoFQqcfz4cTQ2NsLd3R2xsbGwtraGr68vJBIJLe5sZmaGwsJC1NTU0LRMXbReeAC8rB+RSIS+ffvCy8urzQIunYFRheby5cuN2R0D4G256u7uTpfZQFMg++uvv04/Nzc3x9ixY/X6cHV1RXx8PN577z34+fnRqkBWVlbw9PSEnZ1dq0JTJpNhw4YNvKpFWi+7Wq2GVCqFTCbDkiVL9JZjDQ0NeOedd6jnWVeQaAWqQqHAqVOnEBAQwDu3srISH330EUpLS+Hl5YWpU6fyPtc6tQC0OHc3Nzd4eXlBIpGgsLAQtra2NDAaaEoF1Artp59+mudU0N03qXfv3jRjZv78+XjkkUfwzTffAAB++uknGm0glUr1NCUtuj9+bZKHllu3buHXX3+l9t7k5GTk5eVh7ty5NPuptX61ZGVlIScnB5GRkdR84+rqCpVKxbvn2ogIQggSExMNrkuQnZ2NlJQUiEQiBAYG8h4q2u9TIpFQj3pLWFlZQSQStWjr9Pb2hpOTE4qLi1FRUcG7TyEhIejRo4dB8zUVTGje4+junqjV9nJzc+Hq6orFixdj0aJFHerHz88PW7ZswdixY3H69GlERkbCysoKGRkZqKiowNtvv807XiKRYM2aNcjKyqIajhat1hUYGIiQkBA8+uijmD9/vt6YCxYswNatWxEZGamn1TzyyCNISUkBIUTPQ6pQKDBmzBhcu3YNkZGRKCsrw6VLlxAWFga1Wo2MjAxs2rQJjY2NEIvF2LVrF9auXYvevXvTPjiOw5w5c3Do0CGsWbMGCoUCI0eO1KvIo1AosGPHDowaNardUKIJEyYAaBIQp06dovdh9OjRdNk5bdo0xMfHA2jSjhQKBVJSUqjQTk1NRVlZGWbMmAGxWIwjR45AqVTCysqK7tF09epVlJSU8Lao0BX4LSGRSHD58mX63sXFBXV1dbx7O3DgQJpZY2h90kuXLuGPP/4A0KTdpqam4vHHH9f7XjUaDTIzM5GRkUHrdjZHV2AOGTKEZvaIRCKYmZmhT58+NKMQaKp81VI/XUWXVDlidJyFCxdiw4YNPO1y8uTJ2L9/v8EluTiOozF4QqGQLu2bp6NpNBps2bIFOTk5vPZevXrRH2ZcXFybYUMNDQ3YunUrgCatT6vJaXOXN2/eTLU0c3NzJCQkUNtbSkoK1SK1zhSpVIo333wTRUVFEIlEPC2kuroaixYtwksvvYT4+HhYW1sjODgYPXv2xHPPPYfy8nJs3bqVasjaHHUtxcXFiIuLg1wux+jRozF06FBcvnwZcrkcSUlJ1IG2adMmlJSUQCwWw9zcHM888wzNkNHGM2oFJgDMmTMH+fn5OHPmDNRqNX14NDQ04MCBA1i0aBF9EAqFQoSHh9PdIuvq6ni2O63dUhu2pV1u6363uiQlJdFr1Yb9HDx4kN5zf39/VFVVoaCgADk5OSgsLIRUKkVwcDCefPJJXl9ap6MuKpUK+/btg52dHWpra2FlZUWdbbqRF+bm5hgwYABPuOpel+7fnrbiv7ZgSEhIyD25VxMTmvc4Dg4OOH/+PNasWYP8/Hz069cPL7zwwh3VMNRoNDSmz87Ojv6RNg9CvnnzJn3K65Zi0/X+RkRE6PV/9epV7Ny5ExzHISwsjLaLxWI6hrOzM6qrq6mWFhkZCYVCgXXr1iE/Px/Tpk3jhUdp9/MGgJ07d6Jfv35U6+I4Dh4eHpBIJDh79iyOHDlCBVNqairMzMzg5+eHZcuWITk5mfcQCAwMhFqt5mlwe/bswZEjRzBx4kRMmDABJ06cwD///IMBAwZg0qRJ+PHHH+kyVKVSYdu2bVAqlTx7s7aCPSEES5cuhaurKxVuQ4YMgUKhQGVlJYqLi/Hee++hsrISYrEYUqkUcXFxPIHu6emJHj16QCKRoLq6GkqlEjKZjKfpA01CqHkoTm5uLjiOw7x58/D0008jNjaWnjd16lRcv34du3fvBiGEZys9evQoZDIZr+COXC6n39/YsWOpCUAoFPLMR1rNWvtZeXk5qqqqkJ+fj0GDBsHDwwPFxcW4fv06rKyseD4Od3d3ODs7txgTWldXh4aGBtjY2Jg0x72jMKHZDRCLxXjvvffuuh8zMzNMmDABhw4donY+mUympzHqai0ODg6QyWSQy+Worq6GTCbDK6+8oufZPHDgAB599FGEh4dDLBYjLi4OYWFhSEtLw+XLl+lYc+fOxfz58zFv3jxqK9RqoSdOnMDIkSMRFBRE0+Z+++03eq5WMGgfGLqhbC154aurq5Gfn4/Lly/jypUrOHLkCI4cOYKNGzdSAdI8JbO4uBgbN26EWCyGk5MTSkpK4OrqSu+RtbU1hg0bhoMHD1Jbo42NDbWf5ubm4pFHHsEXX3wBPz8/EELg6uqK8vJyXLhwgQoopVLJ08ia23s3b96MkJAQxMbGIiEhARcuXIC3tzfmzJkDFxcXHDlyBD/++CNyc3MRGBhIl/8+Pj6039WrV+Ott94C0BSzum/fPjz//PMoLi5GfX29nqDV1iQ9f/48Hn30URBCkJGRwYvj/fvvv2klLV07tDaJQGviMDMzw9WrV6kmeunSJQCg1y+TydCzZ094enqitrYWFy5cgIODAyIjI9GvXz9auWn37t24ceMGamtroVarMX36dPj6+nZpURYmNB8wNmzYgMcee4w6O0aOHIm1a9fyjnF0dKR7/2RmZlKh5erqikWLFuG5557T6/fNN9/keUI1Gg2kUiliYmJw8uRJCAQCzJ07F5999hksLCyoluvg4IDo6Gjs378fQNMyPCIiAmvWrMGrr75KNaZRo0ZRQWdvb0/3EAL4NjJ3d3e6dNcK19OnTyM3NxePPfYYHnvsMXzxxReIiYnBlStXqGbYUiB3Xl4eFi1ahO3bt9O91+vr63m2Q6BJeOsKoG+//ZbmRXMch9WrV2Pu3Ll0vrrarUgkgoODA92sTLef4uJiJCcnIzY2lsbjaomKisL8+fMxc+ZMKtQCAwNpbCwA9O/fnx5vZWWFHTt2tJndo5s19e2330IoFKKmpqZFe7aTkxO9X1evXoVSqYSFhQXCwsIgEAhw5MiRNgPRNRoNqqurUVBQQIV8Q0MDzp07h0OHDtG+/vnnH15ZwM2bN0MsFiMkJATff/99i5E6pqbLNvtozyNoCOnp6Rg3bhysra3h5eWFZcuWdWjTtpqaGjz33HNwdHSEg4MDnn76ab2gWwDYu3cvIiIiYGlpidDQUGzfvt1oc+9sPDw8cO7cOVy/fh15eXk4ffo0DXgnhODdd9/FG2+8gYqKCpiZmdGl+htvvIFz585hwYIFeulrhBDk5eUBaPqhauMyb968iWPHjtFteNevX0/jQLVFg4uKirB//37IZDL6AyCE4IUXXkBRURESEhJoZo+dnR1kMhny8/Mhk8lw69YtDBs2DJs2baJmhOvXr0MikUAul/N+7LpLfgcHB2zevBmenp40rrWsrIz3I9eeqzUNLF68GNbW1pDJZCgtLYVMJqOhQ2VlZcjIyIBMJsPo0aN5zjugKTTpzJkzsLe3p2NpUSgU1GanHX/KlCn0oXLz5s1Wv0t3d3ecOnUK169fx9ChQ+m15ObmYv78+XpZSNqaEC2VC5TL5SgpKeEF6evej+aOGJlMBpVKhWvXrqGoqAgymQxKpRJZWVn0+wbad2C1RmlpKb33ZmZmeg+0xMRE/Pe//72jvu+WThWahBAcP34czz//PDw8PIzSZ3V1NcaPHw+O47B3714sW7YMq1ev7pAnf+bMmTh16hR+/fVXbNy4EUlJSXj00Ud5xyQkJGDGjBmIiYnBwYMH8dBDD2H27Nl6hvHuBMdx6NWrF/z9/Xl/jL///ju+/PJL+mNRq9WwsLBASkpKm156juOojTM+Ph6JiYmQyWQIDw+HQCCAg4ODXgjK8uXLMWTIEN4PXaVSYf369VizZg1UKhVcXV0xfPhweHt7w9/fH8ePH4enpydKS0vh4+ODpKQk/Pe//8WQIUOwfv16iEQi2l9eXh4Vrh4eHjytC2hK8U1PT8fXX38NoVAImUzGC+fSLve1VXgiIiKQmJiIkSNHokePHnj++edx8eJFrFy5ErW1tcjOzkbfvn2pTbc5I0aMQHR0NH2vzS6SyWTU7KHl2LFjVHvOy8vDqlWreNtQtPRdnj59Glu2bMFnn32G/fv349dff9Wbh/YeFBUV0WvVXndeXh79HlpC15RgbW2NqqoqnDhxAikpKXo28VOnTlGlSFvpSvf6tM6s1jz4zeetVqt5Alw3UaFLIJ3A+fPnyeuvv048PT2JQCAglpaWRCAQGKXvlStXErFYTGpqamjbf/7zH2JlZcVra865c+cIAHL69GnaduHCBQKAHD16lLZNnDiRxMTE8M6dMmUKGT58uFHmTwghAEgnfRVtMmvWLAKADBo0iPzrX/8ikZGRBAD5+++/2z33woULxMHBgV6Lg4MDSUxMbPMchUJBtm7dSoRCIQFAIiMjyZgxY0hkZCT5v//7P4Pnn5eXR9avX0+mTJlCOI4jAIiPjw+5ePFim+cdOXKEBAYG0rkHBgaSyMhIEhgYSNavX2/wPFrj6NGjev0LBAIyevRosm/fPvL000/zPp84cSK9HwMHDiQajeauxi8tLSWhoaH0OgUCARk4cCBZtGgR+eCDD2h7//79yZgxY8j06dPJmDFjyMSJE+l8HR0dydmzZ8mTTz5Jjx84cCDv+MjISN532dJ91X7f48aNo23Nr1nbh+74UVFR9POXX37ZSN+MYZhM00xNTcUHH3yAXr16Yfjw4fjjjz/w0EMP4ciRIzTeyxgcPHgQkyZN4i3FYmNj0dDQ0Gb18YMHD8Ld3R2jRo2ibYMHD4a/vz8OHjwIoKnG4MmTJ/W27oiNjcX58+e7PDPB2GiXuEqlklfeTze0pTUGDx6MjIwM/Pzzz3TrjPYqJQmFQrpNLAA89NBD1DuqTQM0BH9/fzz33HOIi4tDeXk5cnNzcf369XZLiE2YMAE5OTlQKpX473//i549e8Ld3R0rV65s0X57p4wfPx4//PADbt++jZSUFNTV1eHQoUM4deoUHn74YWzcuBHffvstqqqqkJKSAqlUSpf6zb3/d4KbmxuSk5Px119/Yd26dcjOzkZSUhK+//57zJ8/n5pOtAWJq6urqRaampoKsViMo0ePIjo6GkuWLKH9aiMldMOh+vTpQ23KUVFRNOurV69eWLBgAXUGaW3TuisEbR9CoZAmRaSmpiI3Nxc1NTWQSCRQq9W8xI5OxZgS+Pr16+TTTz8lYWFhhOM44uDgQJ599lkSFxdHlEolPW7Pnj1G0zRdXV3J8uXL9dqtra3Jl19+2ep5Tz75JBk9erRe+9SpU8nUqVMJIYSkpaURAOTkyZO8Yy5evEgAtKvBaMH/f9K29+pqLl26REQiEU8jGDBgAO+7Mzbnz5+n1x8dHd3lWkRnIJfLSVFREVGpVC1+PmzYMAKADBs2jDz11FNUW8vJyTHpvA4ePEi8vLwIAGJhYUEsLCyIjY0Neemll0hDQwPv2IaGBuLp6dmiBolmq4YlS5bojZWVlUVmzpxJoqKiyDPPPEMuXrxIfv/9dxIREUEEAoFev//5z3/I8uXLyaRJk8i8efNIWlqaSe9FWxj1l8pxHDEzMyOzZs0iu3fvJo2NjS0eZ0yhaW5uTr755hu99h49epD333+/1fPGjx9PHnnkEb32p59+mgwbNowQQkhCQgIBQK5cucI7JicnhwAghw8f7tAcu4vQJISQ+Ph4MmHCBBIeHk6ef/55UlFRYdLxNBoNmTRpEu9H0rdvX5KVlWXSce9l1q5dqyc0hg8fftfL846g0WhIVVUVUavVRKPRtDnmxYsXibe3N/37ffbZZ8nMmTN5cx8yZAgpKioyaA45OTkkKiqKACBCoZAsWbKEqNXqu700o2FUf72vry8KCgpw9uxZeHl5wcvLy+D9Su5HyD1QA7CjjBgxolOdXBzHYc+ePfjqq6+QmJgIT09PLF68GEFBQZ02h3uNF154AbW1tVi9ejWKi4sxadIkrF27tlMqiHEc1+GUxUGDBiEvLw85OTlwdHSEp6cn1Go1JkyYgAsXLsDLywuvvPKKwdvdBAYGIikpCRKJBNbW1l1eCq45RhWa+fn5SExMxNatW7F161Z8++238PHxwaxZszBz5sw2K+ncKY6Oji3aFqurq9v88h0dHVvcO1n3PO2/zfvXLdHGuHssLS2xdOnSrp7GPQPHcVi8eDEWL17c1VNpF6FQyKvcb2Zmhueffx7PP//8XfVriPDubIweGTp06FAMHToU33zzDU6cOIGtW7fi559/xldffYVevXrRklHGIiQkhFeFHGiKbauvr29zL5mQkBBenrCWzMxMGnYUEBAAoVCIzMxMXsxbZmYmBAJBp2pDrE4pg/E/unT11hk2AIVCQfbs2UNmzZpFbGxsCMdxRg05cnR0JLW1tbTtq6++6nDIUXx8PG1LSkpqMeRo3LhxvHMfeugho4YcdQR00C7KXuz1ILy6kk4fva6ujmzevJlMmzbNKP1VVVURDw8PMn78eHL06FGydu1aYmNjQ/7973/zjgsICCDz58/ntU2cOJH4+/uTv/76i+zevZsEBQWRESNG8I6Jj48nZmZm5I033iAnT54kS5YsIRzHddgJZCzuhT8WBqOruRd+B/fFrzAtLY3ExMQQS0tL4uHhQT788EO9cA5fX18yd+5cXlt1dTWZN28ecXBwIHZ2dmT27NmkvLxcr//du3eTsLAwIhKJSHBwMNm6daspL6dF7oU/Fgajq7kXfgfc/58I4x5Ha9NkXxfjQeZe+B10WcEOBoPB6I4woclgMBgGwIQmg8FgGAATmgwGg2EATGgyGAyGATDvOYPBYBgA0zQZDAbDAJjQZDAYDANgQpPBYDAMgAlNBoPBMAAmNBkMBsMAmNBkMBgMA2BCk8FgMAyACc1OZuPGjYiKioKdnR0cHR3Rv39/vP322/TzGzdugOM47N+/vwtnyWCYnhUrVoDjOL3X+PHj77rv7OxsrFixAhKJ5O4n2gyjb3fBaJ3PP/8cS5cuxTvvvIMvvvgCcrkcly5dwh9//IGvv/66q6fHYHQ6Dg4OOHTokF7b3ZKdnY2PPvoI8+bNg1gsvuv+dGFCsxP54YcfsHDhQqxcuZK2TZs2DcuXL+/CWTEYXYe5uTmGDh3a1dMwCLY870QkEgk8PDz02tvbNE2tVmPFihXw8fGBhYUFwsLCsGXLFvr5yZMnwXEciouLaduwYcNgZmbGW55ERETg3//+991fCINhQm7fvo358+ejV69esLKyQlBQED788EMoFArecZ9//jkCAwNhaWkJd3d3TJ48GSUlJTh16hSmTZsGAPD39wfHcfDz8zPa/JjQ7EQGDBiA77//Hps2bUJlZWWHz1u2bBk+++wzvPjii/j7778xfPhwPP3009i6dSsAYMiQIRAKhXR3zfr6ely6dAkikQhnz54FAFRVVSEtLQ0jR440/oUxGHeBSqXivSoqKuDk5ISvv/4ahw4dwpIlS7Bhwwa89tpr9JzffvsNK1euxNtvv43Dhw/jp59+QmBgIOrq6jBgwACsWrUKALBr1y6cP38eu3fvNt6Eu3KvjQeNq1evEn9/fwKAcBxHQkNDydKlS3m7Zubn5xMAZN++fYQQQiorK4m1tTVZsWIFr68pU6aQoKAg+n7o0KHk1VdfJYQQcvz4ceLi4kJmzZpF3n33XUIIIXv37iUCgaDNHToZjM5k+fLlLe40qbsbLCGEKJVKsnnzZmJhYUEaGxsJIYS8+uqr5PHHH2+173379hEAJD8/3+jzZppmJ9K3b19kZGTg77//xiuvvAJCCD755BMMHDgQMpmsxXOuXbuG+vp6PPnkk7z2WbNmITs7G+Xl5QCAUaNGUU3zzJkzGDFiBEaPHs1r69evH+zt7U14hQyGYTg4OCApKYn3GjJkCP7v//4PoaGhsLKyglAoxNNPP43GxkYUFhYCACIjIxEXF4fly5fj4sWLUKvVnTZnJjQ7GQsLC0ybNg0//PAD0tPT8euvvyInJwfr1q1r8fjbt28DANzd3Xnt2vdVVVUAgJEjR+LatWuQSCSIj4/HyJEjMXLkSCQnJ0Mul9M2BuNewtzcHAMHDuS9fv31VyxevBiPPfYY9u7di4sXL+LHH38EAMjlcgDA/PnzsXLlSvz5558YMmQI3N3d8eGHH3aK8GRCs4tZsGABnJyckJmZ2eLnnp6eAICysjJee2lpKQDAyckJADB8+HAAwKlTp5CYmIhRo0YhLCwMtra2OH78OC5fvsyEJqNbsGPHDjzxxBP47LPPMHHiRAwaNAg2Nja8YwQCAd566y1kZGSgsLAQixcvxueff45ffvnF5PNjQrMTaS74AKC8vBw1NTV6mqSW8PBwWFtbY8eOHbz2P//8E0FBQXB1dQUAODo6Ijw8HN988w3MzMzQv39/cByHESNG4Msvv4RKpWJCk9EtaGhogIWFBa9t8+bNrR7fs2dPvPfeewgMDER6ejoAQCQSAfifZmpMWJxmJxIREYFHHnkEEydOhJubGwoKCrBq1SpYW1tj7ty5LZ7j5OSEN998E59++ildyuzatQtxcXHUe65l5MiR+PHHHzFp0iSYmZnRtiVLlqB3796tCmYG415iwoQJ+O677zBkyBAEBARg8+bNyM3N5R2zcOFCODk5YejQoXBwcMDJkyeRk5OD//znPwCA4OBgAMDatWsRGxsLa2trREREGGeCRnctMVrlhx9+IBMmTCCenp7EwsKC+Pr6ktmzZ5OMjAx6THPvOSGEqFQqsmzZMuLt7U2EQiHp06cP+eOPP/T637ZtGwFAPvvsM9qWmJhIAJDnnnvOtBfHYBjI8uXLibOzs167VCol8+bNI46OjsTR0ZEsWLCAesNTU1MJIYRs2LCBREdHE0dHR2JlZUUiIiLIr7/+yutn1apVxMfHh5iZmRFfX1+jzZvtEcRgMBgGwGyaDAaDYQBMaDIYDIYBMKHJYDAYBsCEJoPBYBgAE5oMBoNhAExoMhgMhgEwoclgMBgGwIQmg8FgGAATmgwGg2EATGgyGAyGATChyWAwGAbAhCaDwWAYABOaDAaDYQBMaDKMCsdx7b5OnToFPz8/LF68uKuna1Q2btwIjuNa3e/JUHbt2oXAwEC6hcOpU6fAcRyuXbt212MnJyfDyckJNTU1RpnrgwQrQswwKufPn6f/b2howNixY/Hhhx/ioYceou2hoaHYvXs3nJ2du2KK3QKNRoNly5ZhyZIltKC0MRk4cCD69++Pb775BitWrDB6//czTGgyjMrQoUPp/7VaT0BAAK8dAPr379+p8+puHD9+HNevX8dTTz1lsjGee+45LF68GB9++CHMzZko6Chsec7oEpovz+fNm4eBAwfiwIEDCA0NhbW1NR566CFUVVUhNzcXMTExsLGxwcCBA/HPP//w+tJoNPjiiy8QGBgICwsLBAUFYdOmTbxjEhISMHLkSNjb28Pe3h6RkZF6+y798ssviIiIgKWlJdzd3fHEE0/Q5ev58+cxffp0eHp6wsbGBpGRkW3uW6NFLpfjnXfeQc+ePWFhYYF+/fohLi6u3fM2bdqEiRMnws7Ort1jW2LevHktmkbGjBlDj5k+fTqqqqpw+PDhOxrjQYUJTcY9Q2FhIZYtW4ZPP/0UP//8M86dO4cXX3wRsbGxiI2Nxc6dO6FSqRAbGwvdDQdee+01fPrpp3jxxRdx4MABPPbYY5g/fz72798PAKitrcXDDz+MXr164a+//sLOnTvxzDPPQCKR0D4+/fRTLFy4EKNHj8aePXvw008/wcHBgWrLBQUFGD58ONatW4d9+/ZhxowZeO655/T2aWrOE088gY0bN+KDDz7Avn37MGjQIEyfPh0pKSltnnfixAlER0e3+JlarYZKpeK9NBoN75ilS5fi/Pnz9LV7925YWloiKCiIHmNvb4+wsDAcO3aszbkwmmG0jTMYjGZIpVICgGzYsEHvM19fX/Kvf/2Lvp87dy4xMzMjubm5tG3JkiUEANm0aRNtO3DgAAFA0tPTCSGE5OTkEI7jyMaNG3n9P/PMM2TgwIGEEEKSkpIIAFJbW9viPKurq4mVlRV56623OnRdGo2GKJVK8uKLL5KYmBjavmHDBgKASKVSQgghx44dIwDIqVOneOePHDmSPPHEE632X1RURACQ/fv389pPnjxJALT50o6ti0KhIMOHDyfh4eFEJpPxPps7dy6Jjo7u0HUzmmCaJuOewc/PDwEBAfR9YGAgAGDs2LF6bUVFRQCabH8CgQCPPfYYT/MaN24cUlJSoFarERAQAFtbWzz11FPYu3cvT8MEmpbeDQ0NeO6551qdW3V1NV5//XX4+vpCKBRCKBTi559/RnZ2dqvnHDt2DB4eHhg+fLje3JKTk1s9r6SkBADg4uLS4ufbtm1DUlIS77V8+fJW+3v99ddx7do17N69W2//cBcXFzoeo2Mw6y/jnkEsFvPea/eu1m1vvp91RUUF1Go1HBwcWuzz9u3b8Pb2xtGjR7FixQrMnDkTGo0GEydOxPfff49evXqhsrISAODp6dnq3ObNm4fExEQsXboUoaGhsLe3x08//YS9e/e2ek5FRQVKSkogFAr1PmvLI669tuZ7f2sJCwtDeHg4r62lMCQAWLduHdauXYu9e/fSB44uFhYWJtkb/H6GCU1Gt8bJyQnm5uY4e/YsBAL9hZObmxuAJq/+oUOH0NDQgGPHjuHtt9/GU089hcTERBr6dPv27Ra1O7lcjv379+PHH3/ESy+9RNub2xFbmluPHj2wZ88eg68JgJ5GbCgXLlzAq6++iqVLl2LatGktHiORSOh4jI7BhCajWzN27Fio1WrU1NRgwoQJ7R5vZWWFadOm4dq1a/j8888BAMOGDYOVlRU2bdqEVatW6Z3T2NgIjUbD0/ykUin+/vtvcBzX6ljjxo3D6tWrYWtri5CQkA5fk5+fH0QiEfLz83nebkMoKSnBjBkzMH78+DbjMG/cuMFzDjHahwlNRrcmODgYL730EmJjY/HOO+9g4MCBkMvlSEtLQ3Z2Nn799VccOHAA69evx6OPPgofHx8UFRVh7dq11FYqFouxdOlS/Pvf/4ZCocDUqVPR2NiIAwcOYPny5ejRowcGDRqEjz/+GPb29hAIBPjiiy/g4OCA2traVuc2YcIETJo0CRMmTMC7776LsLAw1NbWIiUlBXK5nArt5lhaWiIqKgqXLl1q087aFs8++yykUikWLVqECxcu0HZ7e3uEhobS98nJyXj33XfvaIwHFSY0Gd2eH3/8EUFBQfjll1+wbNkyKhgWLFgAoMl5xHEcPvjgA5SVlcHV1RUPP/wwVq5cSft4//334eTkhG+//RZr166Fo6MjRo0aReMkt2zZgoULF+LZZ5+Fs7MzFi1ahPr6evzwww+tzovjOOzatQsrV67E//3f/6GwsBBOTk6IjIzEa6+91uY1Pf7441izZs0d35Ps7GzU1tZiypQpvPbRo0fj1KlTAIArV66gvLwcjz/++B2P8yDCEaIT8MZgMO4JSktL4ePjg4SEBAwaNMgkY7z//vtISkpicZoGwoQmg3GP8uqrr6KmpgZ//PGH0fuuq6uDr68vdu7cecd20wcVFqfJYNyjLF26FH369KFVjoyJNvuKCUzDYZomg8FgGADTNBkMBsMAmNBkMBgMA2BCk8FgMAyACU0Gg8EwACY0GQwGwwCY0GQwGAwDYEKTwWAwDIAJTQaDwTAAJjQZDAbDAJjQZDAYDANgQpPBYDAMgAlNBoPBMAAmNBkMBsMAmNBkMBgMA2BCk8FgMAyACU0Gg8EwgP8H5oDjUFvO6xEAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot pupil size difference across phase bins before and after matching procedure\n", "fig, ax = plt.subplots()\n", "\n", "# Each IMF get a line, IMFs arranged by frequency\n", "positions = np.arange(len(df_sizematching))\n", "for pos, (idx, row) in zip(positions, df_sizematching.iterrows()):\n", " # Plot line and two dots representing the pupil size difference before and after the matching procedure\n", " ax.plot([pos, pos], [row['unmatched_diff'], row['matched_diff']], lw=1, color='gray', alpha=0.5)\n", " ax.scatter(pos, row['unmatched_diff'], s=2, fc='none', ec='gray') # before matching\n", " ax.scatter(pos, row['matched_diff'], s=2, fc='none', ec='black') # after matching\n", "\n", "# Format axes\n", "ax.set_xticks([0, positions.max()])\n", "ax.set_xticklabels(['Slow', 'Fast'])\n", "ax.set_xlabel('Timescale (Hz)')\n", "ax.set_yticks([0, 0.15, 0.3])\n", "ax.set_ylabel('$\\Delta$ Pupil size (norm.)')\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=3, h=2)\n", "fig.savefig(FIGUREPATH + 'pupil_size_diffs' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "137d5f02-f5f8-4f9f-8636-f3e7a7fc8cc3", "metadata": {}, "source": [ "### Figure 3B\n", "Burst-tonic spike phase difference before and after pupil size matching." ] }, { "cell_type": "code", "execution_count": 33, "id": "529af8ae-6471-4fa4-a8b1-4ac7cdfbe199", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: phasetuning_spontaneous.pkl\n", "Loading: phasetuning_sparsenoise.pkl\n", "Loading: phasetuning_spontaneous_sizematched.pkl\n", "Loading: phasetuning_sparsenoise_sizematched.pkl\n", "Neurons with significant coupling: 0.939 (139/148)\n", "Tonicspk prop. significant: 0.939 (139/148)\n", "Tonicspk num. CPDs per neuron: 3.30, 1.70\n", "Burst prop. significant: 0.636 (77/121)\n", "Burst num. CPDs per neuron: 0.95, 0.95\n" ] } ], "source": [ "conditions = ['spontaneous', 'sparsenoise']\n", "df = load_data('phasetuning', conditions)\n", "df_sizematched = load_data('phasetuning', conditions, subsample='sizematched')\n", "\n", "df['tonicspk_sig'] = df['tonicspk_p'] <= 0.05\n", "df['burst_sig'] = df['burst_p'] <= 0.05\n", "df_sizematched['tonicspk_sig'] = df_matched['tonicspk_p'] <= 0.05\n", "df_sizematched['burst_sig'] = df_matched['burst_p'] <= 0.05\n", "\n", "coupling_summary(df_sizematched)" ] }, { "cell_type": "code", "execution_count": 34, "id": "f0745c9d-0b23-460f-b131-f4bde52c8a80", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sizematched mean: -2.9429396141792523\n", "V 2.037e+01, p 6.402e-04\n", "N = 80\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.linspace(0, 2 * np.pi, 9)\n", "fig, ax = plt.subplots(subplot_kw={'polar':True})\n", "\n", "# Plot the circular distribution for burst-tonic spike phase differences\n", "df_sig = df.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff_all = (df_sig['tonicspk_phase'] - df_sig['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff_all, bins=bins, ax=ax, color='gray', ls='--')\n", "\n", "# Plot the circular distribution for burst-tonic spike phase differences in 'sizematched' periods\n", "df_sig = df_sizematched.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff_sizematched = (df_sig['tonicspk_phase'] - df_sig['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff_sizematched, bins=bins, ax=ax, color='black')\n", "\n", "# V-test for non-uniformity and mean of pi\n", "p, v = vtest(phase_diff_sizematched, np.pi)\n", "print(f'Sizematched mean: {circmean_angle(phase_diff_sizematched)}')\n", "print(f\"V {v:.3e}, p {p:.3e}\")\n", "print(f\"N = {len(phase_diff_sizematched)}\")\n", "\n", "# Format axes\n", "ax.set_xlabel(r'$\\Delta$ Phase preference' + '\\nTonic spike - burst')\n", "ax.set_yticks([0.25, 0.5])\n", "ax.set_yticklabels([])\n", "\n", "set_plotsize(w=1.5, h=1.5)\n", "fig.savefig(FIGUREPATH + 'phase_diff_circhist_sizematched' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "e7f27eba-e493-45c9-9b92-280d6518e338", "metadata": {}, "source": [ "### Figure SC\n", "Median coupling strength across timescale bins after pupil size matching procedure, compared to control condition prior to the sub-sampling. " ] }, { "cell_type": "code", "execution_count": 36, "id": "c986fcd9-3eeb-4b3c-8928-a5b636859cff", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tonicspk median: 0.0081, N: 682\n", "Tonicspk size-matched median: 0.0046, N: 489\n", "MannwhitneyuResult(statistic=195583.0, pvalue=4.3682907893601896e-07)\n", "Burst median: 0.0528, N: 320\n", "Burst size-matched median: 0.0250, N: 115\n", "MannwhitneyuResult(statistic=22192.0, pvalue=0.001041948334988583)\n", "[False, True, True, True, False, False]\n", "[False, False, True, False, False, False]\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "ax = coupling_strength_line_plot(df_matched, agg=np.median, err=se_median, ax=ax)\n", "ax = coupling_strength_line_plot(df, agg=np.median, err=se_median, ax=ax, alpha=0.5)\n", "\n", "for spk_type in ['tonicspk', 'burst']:\n", " strengths = df.query(f'{spk_type}_sig == True')[f'{spk_type}_strength']\n", " strengths_matched = df_matched.query(f'{spk_type}_sig == True')[f'{spk_type}_strength']\n", " print(f'{spk_type.capitalize()} median: {strengths.median():.4f}, N: {len(strengths)}')\n", " print(f'{spk_type.capitalize()} size-matched median: {strengths_matched.median():.4f}, N: {len(strengths_matched)}')\n", " print(mannwhitneyu(strengths, strengths_matched))\n", "\n", "# Code snip for post-hoc tests\n", "for spk_type in ['tonicspk', 'burst']:\n", " df_sig = df_sizematched.query(f'{spk_type}_sig == True')\n", " strengths_matched = sort_data(df_sig[f'{spk_type}_strength'], df_sig['freq'], bins=FREQUENCYBINS)\n", " df_sig = df.query(f'{spk_type}_sig == True')\n", " strengths = sort_data(df_sig[f'{spk_type}_strength'], df_sig['freq'], bins=FREQUENCYBINS)\n", " ps = np.full(len(FREQUENCYBINS) - 1, np.nan)\n", " for f_bin, (s_matched, s) in enumerate(zip(strengths_matched, strengths)):\n", " ps[f_bin] = mannwhitneyu(s_matched, s).pvalue\n", " print([p <= 0.05 for p in ps])\n", "# Need to make sure these lines match the printed significance tests for each frequency bin\n", "ax.plot([FREQUENCYXPOS[2] - 0.25, FREQUENCYXPOS[2] + 0.25], [-0.05, -0.05], color=COLORS['burst'], lw=1, alpha=0.5)\n", "ax.plot([FREQUENCYXPOS[1] - 0.25, FREQUENCYXPOS[3] + 0.25], [-0.2, -0.2], color=COLORS['tonicspk'], lw=1, alpha=0.5)\n", "\n", "yticks = [-4, -2, 0]\n", "ax.set_yticks(yticks)\n", "ax.set_yticklabels(['10$^{%d}$' % tick for tick in yticks])\n", "ax.set_ylim(bottom=-4.1)\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=3, h=2)\n", "fig.savefig(FIGUREPATH + 'coupling_strength_sizematched' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "77e0f839-d40c-4b6c-827d-271fe03e5069", "metadata": {}, "source": [ "### Figure 3D\n", "Pie charts of the proportion of neurons that 1) retai their coupling timescale preference, 2) switch their coupling timescale preference, 3) lose their coupling after sub-sampling for pupil size matching. Timescale preference refers to the CPD with the strongest coupling for the given neuron. Also check to see which neurons increase their coupling strength overall after sub-sampling." ] }, { "cell_type": "code", "execution_count": 37, "id": "2045bae3-728c-41d5-97aa-9ed99dbdde5e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: phasetuning_spontaneous.pkl\n", "Loading: phasetuning_sparsenoise.pkl\n", "Loading: phasetuning_spontaneous_sizematched.pkl\n", "Loading: phasetuning_sparsenoise_sizematched.pkl\n" ] } ], "source": [ "# Load phase coupling data from gray screen and sparse noise experiments\n", "conditions = ['spontaneous', 'sparsenoise']\n", "df_all = load_data('phasetuning', conditions)\n", "# Coupling data measured after sub-sampling for pupil size matching\n", "df_sizematched = load_data('phasetuning', conditions, subsample='sizematched')\n", "\n", "# Assign significance based on p-value from shuffled permutation test\n", "df_all['tonicspk_sig'] = df_all['tonicspk_p'] <= 0.05\n", "df_all['burst_sig'] = df_all['burst_p'] <= 0.05\n", "df_sizematched['tonicspk_sig'] = df_sizematched['tonicspk_p'] <= 0.05\n", "df_sizematched['burst_sig'] = df_sizematched['burst_p'] <= 0.05\n", "\n", "# Combine control and sub-sampled data\n", "df_all = df_all.set_index(['m', 's', 'e', 'u', 'imf']).sort_index()\n", "df_sizematched = df_sizematched.set_index(['m', 's', 'e', 'u', 'imf']).sort_index()\n", "suffixes = ['_all', '_sizematched']\n", "df = pd.merge(df_all, df_sizematched, left_index=True, right_index=True, suffixes=suffixes)" ] }, { "cell_type": "code", "execution_count": 38, "id": "66b79cbb-4f1f-4657-aca7-6fb66415ee81", "metadata": {}, "outputs": [], "source": [ "def compare_coupling_strength_preferences(df, conds, spk_type):\n", " df_sig = df.query(f'({spk_type}_sig_all == True)')\n", " \n", " def _pref_timescale(unit):\n", " pref_cond0 = np.argmax(unit[f'{spk_type}_strength_{conds[0]}'])\n", " pref_cond1 = np.argmax(unit[f'{spk_type}_strength_{conds[1]}'])\n", " return pref_cond0 != pref_cond1\n", " def _max_strength(unit):\n", " strength_cond0 = unit[f'{spk_type}_strength_{conds[0]}'].max()\n", " strength_cond1 = unit[f'{spk_type}_strength_{conds[1]}'].max()\n", " return strength_cond1 - strength_cond0\n", "\n", " units = df_sig.groupby(['m', 's', 'e', 'u'])\n", " sig = (units.apply(lambda x: x[f'{spk_type}_sig_{conds[1]}'].sum() > 0))\n", " shift = units.apply(_pref_timescale)\n", " strength = units.apply(_max_strength)\n", " no_coupling = (~sig).sum()\n", " imf_same_down = (sig & ~shift & (strength < 0)).sum()\n", " imf_same_up = (sig & ~shift & (strength >= 0)).sum()\n", " imf_shift_down = (sig & shift & (strength < 0)).sum()\n", " imf_shift_up = (sig & shift & (strength >= 0)).sum()\n", "\n", " total = np.sum([no_coupling, imf_shift_down, imf_shift_up, imf_same_up, imf_same_down])\n", " print(\"No coupling: %.1f\" % (no_coupling / total * 100))\n", " print(\"Timescale same: %.1f\" % (np.sum([imf_same_up, imf_same_down]) / total * 100))\n", " print(\"Timescale shift: %.1f\" % (np.sum([imf_shift_up, imf_shift_down]) / total * 100))\n", " print(\"Increased coupling: %.1f\" % (np.sum([imf_shift_up, imf_same_up]) / total * 100))\n", " \n", " fig, ax = plt.subplots()\n", " slices, text = ax.pie([no_coupling, imf_shift_down, imf_shift_up, imf_same_up, imf_same_down],\n", " explode=[0., 0., 0.1, 0.1, 0.],\n", " colors=['gray', COLORS[spk_type], COLORS[spk_type], COLORS[spk_type], COLORS[spk_type]])\n", " slices[1].set_alpha(0.5)\n", " slices[2].set_alpha(0.5)\n", " plt.legend(slices[::2], ['No coupling', 'Timescale shift', 'Timescale retained'], loc=(1, 0.75), frameon=False)\n", " ax.xaxis.set_visible(False)\n", " return ax" ] }, { "cell_type": "code", "execution_count": 39, "id": "7c2e3e61-af57-463a-81f6-886e17de3800", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tonicspk\n", "No coupling: 5.5\n", "Timescale same: 38.6\n", "Timescale shift: 55.9\n", "Increased coupling: 25.5\n", "Burst\n", "No coupling: 39.6\n", "Timescale same: 30.2\n", "Timescale shift: 30.2\n", "Increased coupling: 15.1\n" ] }, { "data": { "image/png": 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l0WjYuXMny5Yt46233uLKlSt4eHjQrl07pk+fXu77unbtyqZNm9i4cSM5OTkEBwezadMmhg8fbpo/WDEPPPAAq1atYs2aNaxdu5aAgABiY2NNfhxzIDWghBDCBGQ2XwghTEDCVAghTEDCVAghTEDCVAghTEDCVAghTEDCVAghTEDCVAghTEDCVAghTEDCVAghTEDCVFgUjUZT6T9HjhwpVbakLti8eTMajcbwdH415OXlsWjRogqf5F+R2v5e9u7di0ajqZUlrLI2XwAQNCdClePGvjG48p2Kkeqk6srLy2Px4sUEBQXRrl27ar+/Ln8vEqbCokh10pqRnZ2Ng4NDjR+nLn8vcpov6iSpTlq+2NhYNBoN27ZtY8KECbi7uxuqiKakpDB16lR8fX2xt7enW7du/PTTT4b3Fj3latKkSYbLKkWn0HPmzCE0NBRnZ2cCAgJ48sknS1U8Le97OXDgAG3atMHJyYlHH32Us2fPGr2vKt+BoigsWrQIHx8fXFxcmDBhQoWPMDS1ej0yVRSF9Ox80rPzScvKJyMnn9x8PVotaNCg0RReo9NqCl/bWmvxdLbF28UOV3sbtbsvqql4ddKsrCymT5/O1KlTiY2N5dlnn2X27NnMnTuXsWPHcvbsWcODmadPn86WLVtYsGABf/vb3zhw4ACTJ0/G09OTIUOGGKqTDhs2jAULFqAoClFRUaWqky5YsIDnn3+elStXkpWVRUREBLdu3cLNzc1QnfS5557D3t6eY8eOMWnSJLRabbkF9aCwOunJkydZvHgxzZo1Y8eOHYSHh/Pzzz9Xeho+a9YsRo4cyaeffoqVlRW5ubn07duXtLQ0Vq5ciY+PDxs2bKBv375cuHABPz8/Dh06VOrSSlE5lsTERObNm0fDhg1JSkpi9erV9O7dmzNnzpRZpaD49/LSSy8xf/58HBwcmDVrFmPGjCEqKqrK3wHAmjVreO2115g3bx7du3dn586dzJ49u9L/LkylXoVpXoGei8m3iE/LITEzh+RbeeQVVFwaojwOtlZ4Odvh7WKHt7Mdfm72eDjZmrjHwpSkOqmxLl26sH79esPr999/nzNnznD27FmaN29u+KwhISGsXr2alStX0rFjR6DsSysffPCB4WedTkfXrl0JCAjg6NGj9OjRo9x+pKSkcOzYMcMx9Xo9I0aM4M8//+TBBx+s0neg0+lYsWIF06ZNY8mSJQCGB2cXFUesaXX+NF+nV4hJvEXE7/G8+/1ffB11g9NxaVxPy7nnIAXIztMRl5LFr5dT2Xf2Blt+jOWjE5f59UoqWXkFJvwEwlSkOqmx4pN2Re09/PDDNGnSxNAWQM+ePavU3tdff023bt1wc3PD2tqagIAAgAo/AxR+L0VBCoUTiIChEmpVvoO4uDji4+MZNmyYUdtllbCuKXVyZKooCnEp2Zy/kUFM0i1y8+89NKsjKTOX7/5M4ofoZIK8HGnV0JUmXs5Yacuv4yNqz/1WJy1LfHw8AQEBHDhwgEWLFjF69Gj0ej39+/dn7dq1NG3atMrVSU+cOMGrr75Ky5YtcXV1ZcOGDezevbvc9xSvTlqSlZVVue8r4uvrW6q9EydOlNle8f8JlSUyMpLw8HBGjBjBnDlz8PHxQaPR0KVLl0rrP5X3vVTnOyi6NltU4LBIydc1qc6FaUxiJkcvJJOala9aH/SKwsWk21xMuo2DrRUt/V3pGOSBg23l/4EL81IXq5MWKVmsz8PDgw4dOrBhw4ZS+xYv9leWXbt24e3tzSeffGJo9/Lly/fUr5Kq8h0UjaITExONflfydU2qM2GakJHDd9FJXEvNVrsrRrLzdPxyOZUz19PpFORBu0B3rK3q/NWVOqOuVyct2d7+/ftp3LhxuSO68qqNZmdnY2NjY9TfqtyNUBVV+Q4CAwPx8/Nj9+7dDBw40LB9586dJulDVVh8mGbk5PNjTDLnb2RiztWscvP1/HAhmd+uptMrxJum3s5qd0lUQV2sTlqeCRMm8M477xAWFsasWbMMlyhOnjyJn58fM2fOxNbWliZNmrBjxw5at26Nvb09bdq0oV+/frz11lvMmDGDoUOH8uOPP/LRRx/d19++SFW+AysrK2bPns2sWbPw8vKie/fufP755/zxxx8m6UNVWGyY6vUKJy7e5JfLqRTozThFS8jIzmf36es093UmLMQHZzvz+AqquxKpPqlr1UnLY29vz+HDh1mwYAELFy4kISEBHx8fOnXqRHh4uGG/d955h1mzZtG3b19yc3O5dOkSgwYNYsWKFaxdu5ZNmzbRtWtX9u7dS4sWpql6W9l3ADBjxgxSUlJ45513eOuttwgPD+fNN9/kySefNEkfKmOR1Umz8gqI+D2eq2Z2Sl9ddjZaBrX2J8jLSe2uCCHuk8WFaWJmDnt+iycjW70JJlPSajSEhXjTNtBd7a4IIe6DRYVpdEIm+8/eIF9nMV2usnaN3Qlr4V3hhIMQwnxZRJgqisKxmJtExqao3ZUa1dTbicda+2NrLbP9Qlgasw9TRVH4KuoG0QmZanelVni72DGsXUNcZO2/EBbF7IdAB/9IrDdBCoWrqHb+eo2cfJ3aXRFCVINZh+mxmGSirqWr3Y1al3I7j6/PxKO3oFu+hKjvzDZMz1xL5+Slun2NtCKxyVl8fyFJ7W4IIarILMP0Wlo2h87X3ppac3XqShpRV+vfyFwIS2R2YZqZk8/e366jk1NcAA7/mUhcSpba3RBCVMLswvTQ+USy8mTypYhOrxARFU9mTt1YpCBEXWVWYfpX0i0uJt1WuxtmJztPx9ELyWp3QwhRAbMJ0wKdnu/+lAmX8py/kcn1NMt+FoEQdZnZhOnJ2BTS68h6+5ryXXQSZr7GQoh6yyzCNC0rj19iU9Xuhtm7kZ7DH/H1ZwGDEJbELML0u+gki3omqZqOxSTfVyFAIUTNUD1Mr6dly6RTNdzKLeDnOv7AFyEskepheqYeLhe9X6fi0mR0KoSZUTVM8wr0XEi8pWYXLFJegb5ePfxFCEugaphGJ2TKCOseyYheCPOiapievS6BcC+0KKQlXicx+abaXRFC3KFaacybt3K5npZT+Y4CAA0KdgW30N28QtrlP0gryOeccw4+YWFqd00IgYphevZ6+fXAxV12Sg6kXiPtyjnSs4yvL587d44wCVMhzIJqYRp7U26HKo8NBVjfSiAz7jwZqeU/ijApKYnk5GS8vLxqsXdCiLKoEqZ5BXpSbuepcWizZYUe25yb5Nz4i+Rrl6hqkdJLly5JmAphBlQJ06RbucgS88LroPb5GeQnxZJ65U8UfeGjB6tT7fn69es11DshRHWoEqYJGfV74slen42SepXUy+dIz7m/Bz9LmAphHlQJ08SMXDUOqypb8tFmxJMRd56MdNPd0pSUlERBQQHW1qpd/hZCoFaYZtaPkak1Omyyk8m6foHkhLgaOYaiKKSkpODj41Mj7QshqqbWwzRfV7cnn7Qo2OWnk5dwiZS4aFBqfoXXzZs3JUyFUFmth2lqVl6dm3zSAHa624U31F85T1pe7Y68U1LkKVJCqK3Ww7QurcW3VfLQZlwn/fIfpN9KU60fGRmyAEIItalwmm/Zw1JrdNhkJXL7ajTJyeYxk15QUKB2F4So92o9THV6BVtrLXq9gk5RLOKUX4uCXV4quTcuknI1BjCvTut0UhpbCLXVepgG+zgT7BNseK3XK+iVwmDV6yn8t6IUhq3+7na9Uvj67r/vbivarlcosU+xNo32U9Dd2a6UaEN351h6RSE98zYFafFkJlwmLf9OsT8X85voydPaq90FIeq9Gg/T62nZnL2egZUWtBoNWo0GK23xf4NWq8Gq2HatFqw0GsP2om3WVhqsNFq0Re8v2rfofXfasNJWYwlRBXqvPsLFpFzAzyTt1ZQhfj6MVrsTQtRzNR6mGTn5qjzIuDBYjYNao9FgpbkTvkaBrMHP1Z5Hgj3RFFvLqa3Ouk4V2VipXn1GiHqvxsNUgzqBpFcU9DqgChNeTbyc6NTEwyhIoXB0bAlc7WX1kxBqq/kwNfM8ahPgRq8QH7TFLg1k5RXgaGtttM2c+bjKNVMh1Fbj54e2ZnoKqtFA9+Ze9HnI1yg01xy8wM5frwFgpl0vxdvFTu0uCFHv1XhcNHC0relDVJu1VsOgUH86BHkYtuXr9Lz06W/860A0On3hpQFLOc33kTAVQnU1fprv6mCNjZXGbG7Wd7C1YmjbhjRydzBsy8jJ5/mPfuVoTDKAIUxLXkM1V0GeTmp3QYh6rxaumWpo4GRrFo/dc3e0YXi7RjRwujtavp6WzaQPI/mzWB16/Z2VBKa6xaomudhb84Cno9rdEKLeq5VpYE8zCNOG7vaEt22Eg62VYduZa+lM3hxJYqZx3wxhagEj01YNXS1mBC1EXVYrYerhZAdkVrpfTWnh68KAVr5YF5tROnQ+genbT3E7r/RSTN2dZ7FoLWACKrSRm9pdEEJQa2Gq3iRUh6AGPBrsZTR6+/8nLrPoy7OGa6MlFY1MLeGm/eKTaEII9dTaaX5t02o0hIV40zbQ3bBNURSWf32ed7+/WOF7DbP5Zn7N1M5aS/fmUplUCHNQK2Hq7miDi701mTm186g4W2stg0L9aeJ1d5Y7J1/H/+74jYio+Erfbykj027NPHG0ldVPQpiDWrkqqNFoaObtXBuHwtnOmiceDjAK0pTbeTz53k9VClIofJIVmP/ItM9Dvmp3QQhxR61NsQT71HyYejnbMqZToNHyykvJtxn59jF+uZxa5XZ0FjAytbXS8lhr836alRD1Sa2dIwY0cMDJzorbuTXzIOPGHo4MaeuPnfXdW59+jk3h2a0/k5qVX622DLP55pulPBbqh6ezrHwSwlzU2shUo9HwkL9rjbTdqqErw9s3MgrSvb9fZ/x7P1U7SMEybtr/e5cH1O6CEKKYWr2TsnVD098T2a2ZJ/1b+RkF3zvf/cX0j0/dc/G+omum5vrUqBBfFzrKLVFCmJVanQpu4GRLQAMHrqZm33dbVloN/Vr6Go12dXqFBbvPsO2nK/fVts7MV0D9o3dw5TsJIWpVrd9X075xg/sOU3sbK4a08SfQ4+6a9Nu5Bfxj+68c+TPpfrt4d2RqhlnaqqErQ9v4q90NIUQJqhTUC/RwJC4l657e7+Zgw/D2jYxWVSVk5DDpw0jOxZumfrxhNt8M03TWgBBZiy+EGVJl9XlYiPc93Xbk52bP2E6BRkF6/kYGw9cfM1mQAhStMjW30/yuTT3pFWJ+1VGFECqFqZezHW0CqzcZ1czHmVEPBxit+Pk+OoknNhwnPj3HpP0zx5v27W20LB8ZqnY3hBDlUO25SF2beuJY7HF4FWnf2J2hbfyNqnDuiIxj8uZIMnNNv0RVZ4az+bP6hxDkJQ+BFsJcqRam9jZWdGtW8UM6NBroGeJNWIiP0XXCVfv+ZPbnv1NQzlOf7tfdFVA10ny1PfxAAyY/0kTtbgghKqDqUzJaN3Il6lo6CRmlT9NtrDQMbO1vtAw1r0DP7M9+44vT12u0X3ozqgHl4WTLW2PamdUoWQhRmqqPP9ZoCu8VtbU27oaTnRWjHg40CtL0rHz+/v5PNR6kcHcCSu0As9ZqWD/+b0a3gAkhzJPqz5L3drGjf0tfigaBns62jOnYGD+3uw8riUvJYuSGY5y8lFIrfTKXm/ZfGfwQXZt5qtoHIUTVmMXDMJv7utDpVi7XUrMZ2rYh9jZ3J6ZOx6XxzJZIkm/l1Vp/zGE56cRuQUyU66RCWAyzCFMonN3XK8a3I+07e4N//vcUOfn3tsb+Xhlm81UamY7uEMDCoS1VObYQ4t6YTZhqNBqsimXX+0cvsTTiHDU0YV8hw037KlwEGdcpkGUjQmWVkxAWxmzCtLitx2N5fe851Y6vVqnn/xfWjNmyXFQIi6T6BFRZhrVtRAvf2ilzUpbavmnf1lrLv8e05eWBD0qQCmGhzDJM3Rxt2Dq5M0291VnxU5sF9bxd7Pjv1C6MaB9Q48cSQtQcswxTKHyoyafTuhLayPQPlK5MbZV6HhTqx74ZPfhb4wY1ehwhRM0z2zAF8HS24+OpXejStHafKl/TI1N3RxvWjGvP208+bPQELCGE5TLrMIXC0s2bJ3UivG3DWjum/s6dWKaezbfSahjXqTEHZvas1c8jhKh5ZjmbX5K9jRVrxrWnS1NPXtt7tsbvO62JUs/9W/oye+CDtVLyWghR+ywiTIuM79yYvz3gzgvbTxGTeKvGjmOqm/ZtrbQMbuPPxG5BtA10N0HPhBDmyqLCFOBBP1e+fOER1hyM4YOjl8jTmX6UqtxnqeeABg6M6RDIuM6N8ZLa9kLUCxYXpgCOttbMeexBRncI4LW950xSRK+4e6kB9aCfCwNa+dG/lS+taqCktRDCvFlkmBZp6u3M5kmdOPhHAqv3R5uuoN6dwW5ZWWql1eDtbEeInwttA9xoG+hO20B3GYEKUc9plKJz2jrgyJ+JbPrhIsdibt5XOyG+Luyb2YPY5NtEXUvHzlqLl4sd/m72+LjYm1VtKCGEeahTYVrkQkImO36O4+szN7iaml3t9zf3cebAiz1roGdCiLqqToZpcWeupfP1mXgOnEvgQuItqvJpm3o7ceh/w2q8b0KIuqPOh2lxGTn5RF1N57erafwWl8al5NskZuaSlpVvtF+QpyNHXuqlUi+FEJaoXoVpeXILdCRl5pJ8K498nR5bK63cFyqEqBYJUyGEMAGzX5svhBCWQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFMQMJUCCFM4P8AHB9ga19GLYcAAAAASUVORK5CYII=", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for spk_type in ['tonicspk', 'burst']:\n", " print(spk_type.capitalize())\n", " ax = compare_coupling_strength_preferences(df, ['all', 'sizematched'], spk_type)\n", " \n", " set_plotsize(w=2, h=1.5)\n", " fig = ax.get_figure()\n", " fig.savefig(FIGUREPATH + f'sizematching_{spk_type}_pie' + FIGSAVEFORMAT)" ] }, { "cell_type": "markdown", "id": "06195166-9aae-406e-a229-363bfc286430", "metadata": {}, "source": [ "### Figure 4A\n", "Phase tuning analyses after eliminating spikes occurring during locomotion, and excluding the transition period between locomotion and quiescence." ] }, { "cell_type": "code", "execution_count": 40, "id": "b9d137ab-bcce-45e0-a6d4-03030486506b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: phasetuning_spontaneous.pkl\n", "Loading: phasetuning_sparsenoise.pkl\n", "\n", "All\n", "Neurons with significant coupling: 0.981 (153/156)\n", "Tonicspk prop. significant: 0.981 (153/156)\n", "Tonicspk num. CPDs per neuron: 4.37, 1.53\n", "Burst prop. significant: 0.873 (110/126)\n", "Burst num. CPDs per neuron: 2.54, 1.70\n", "Loading: phasetuning_spontaneous_sit.pkl\n", "Loading: phasetuning_sparsenoise_sit.pkl\n", "\n", "Quiescence\n", "Neurons with significant coupling: 0.973 (143/147)\n", "Tonicspk prop. significant: 0.973 (143/147)\n", "Tonicspk num. CPDs per neuron: 4.02, 1.57\n", "Burst prop. significant: 0.771 (84/109)\n", "Burst num. CPDs per neuron: 2.35, 1.80\n" ] } ], "source": [ "conditions = ['spontaneous', 'sparsenoise']\n", "\n", "df = load_data('phasetuning', conditions).set_index(['m', 's', 'e', 'u'])\n", "df['tonicspk_sig'] = df['tonicspk_p'] <= 0.05\n", "df['burst_sig'] = df['burst_p'] <= 0.05\n", "df['freq_bin'] = np.digitize(df['freq'], bins=FREQUENCYBINS).clip(1, len(FREQUENCYBINS) - 1)\n", "print(\"\\nAll\")\n", "coupling_summary(df)\n", "\n", "df_sit = load_data('phasetuning', conditions, subsample='sit').set_index(['m', 's', 'e', 'u'])\n", "df_sit['tonicspk_sig'] = df_sit['tonicspk_p'] <= 0.05\n", "df_sit['burst_sig'] = df_sit['burst_p'] <= 0.05\n", "df_sit['freq_bin'] = np.digitize(df_sit['freq'], bins=FREQUENCYBINS).clip(1, len(FREQUENCYBINS) - 1)\n", "print(\"\\nQuiescence\")\n", "coupling_summary(df_sit)" ] }, { "cell_type": "code", "execution_count": 41, "id": "e2fe5568-6199-4546-aef8-0196326547fb", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "ax = phase_coupling_scatter(df_sit, ax=ax)\n", "set_plotsize(w=2, h=2)\n", "clip_axes_to_ticks(ax=ax)\n", "\n", "fig.savefig(FIGUREPATH + 'phase_coupling_scatter_sit.svg')" ] }, { "cell_type": "code", "execution_count": 42, "id": "55f6d210-32d3-4d56-adbc-6d02fbd961fb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sit mean: 2.8498524496245317\n", "V 1.111e+02, p 0.000e+00\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.linspace(0, 2 * np.pi, 9)\n", "fig, ax = plt.subplots(subplot_kw={'polar':True})\n", "\n", "df_sig = df.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff = (df_sig['tonicspk_phase'] - df_sig['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff, bins=bins, ax=ax, color='gray', ls='--')\n", "\n", "df_sig_sit = df_sit.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff_sit = (df_sig_sit['tonicspk_phase'] - df_sig_sit['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff_sit, bins=bins, ax=ax, color='black')\n", "\n", "ax.set_xlabel(r'$\\Delta$ Phase preference' + '\\nTonic spike - burst')\n", "ax.set_yticks([0.25, 0.5])\n", "ax.set_yticklabels([])\n", "# ax.set_ylim(top=0.5)\n", "\n", "set_plotsize(w=1.5, h=1.5)\n", "fig.savefig(FIGUREPATH + 'phase_diff_circhist_sit.svg')\n", "\n", "N = len(phase_diff_sit)\n", "print(f'Sit mean: {circmean_angle(phase_diff_sit)}')\n", "p, v = vtest(phase_diff_sit, np.pi)\n", "print(f'V {v:.3e}, p {p:.3e}')" ] }, { "cell_type": "code", "execution_count": 43, "id": "c4cc4f33-d09a-4478-a015-1fe4b25c2f66", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tonicspk median: 0.0081, N: 682\n", "Tonicspk sit median: 0.0100, N: 591\n", "MannwhitneyuResult(statistic=186930.0, pvalue=0.025617164206934048)\n", "Burst median: 0.0528, N: 320\n", "Burst sit median: 0.0564, N: 256\n", "MannwhitneyuResult(statistic=38821.0, pvalue=0.2812572605274605)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "ax = coupling_strength_line_plot(df_sit, agg=np.median, err=se_median, ax=ax)\n", "ax = coupling_strength_line_plot(df, agg=np.median, err=se_median, ax=ax, alpha=0.5)\n", "\n", "yticks = [-4, -2, 0]\n", "ax.set_yticks(yticks)\n", "ax.set_yticklabels(['10$^{%d}$' % tick for tick in yticks])\n", "ax.set_ylim(bottom=-4.1)\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=3, h=2)\n", "fig.savefig(FIGUREPATH + 'coupling_strength_sit.svg')\n", "\n", "for event in ['tonicspk', 'burst']:\n", " strengths = df.query(f'{event}_sig == True')[f'{event}_strength']\n", " strengths_sit = df_sit.query(f'{event}_sig == True')[f'{event}_strength']\n", " print(f'{event.capitalize()} median: {strengths.median():.4f}, N: {len(strengths)}')\n", " print(f'{event.capitalize()} sit median: {strengths_sit.median():.4f}, N: {len(strengths_sit)}')\n", " print(mannwhitneyu(strengths, strengths_sit))" ] }, { "cell_type": "markdown", "id": "894cc3cd-8453-4543-8150-2415002a16cf", "metadata": {}, "source": [ "### Figure 4B\n", "Phase tuning analyses after eliminating spikes occurring during quiescence, and excluding the transition period between locomotion and quiescence." ] }, { "cell_type": "code", "execution_count": 44, "id": "d5226287-fe24-45a4-807c-8251d1a06989", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: phasetuning_spontaneous_run.pkl\n", "Loading: phasetuning_sparsenoise_run.pkl\n", "Neurons with significant coupling: 0.902 (129/143)\n", "Tonicspk prop. significant: 0.853 (122/143)\n", "Tonicspk num. CPDs per neuron: 2.51, 1.65\n", "Burst prop. significant: 0.779 (60/77)\n", "Burst num. CPDs per neuron: 1.73, 1.37\n" ] } ], "source": [ "conditions = ['spontaneous', 'sparsenoise']\n", "\n", "df_run = load_data('phasetuning', conditions, subsample='run')\n", "df_run['tonicspk_sig'] = df_run['tonicspk_p'] <= 0.05\n", "df_run['burst_sig'] = df_run['burst_p'] <= 0.05\n", "df_run['freq_bin'] = np.digitize(df_run['freq'], bins=FREQUENCYBINS).clip(1, len(FREQUENCYBINS) - 1)\n", "coupling_summary(df_run)" ] }, { "cell_type": "code", "execution_count": 45, "id": "472c67c8-0b0f-486f-9652-b8583efa17df", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "ax = phase_coupling_scatter(df_run, ax=ax)\n", "set_plotsize(w=2, h=2)\n", "clip_axes_to_ticks(ax=ax)\n", "\n", "fig.savefig(FIGUREPATH + 'phase_coupling_scatter_run.svg')" ] }, { "cell_type": "code", "execution_count": 46, "id": "d519f0c8-f83a-4fec-bbbc-83427a5f1c0a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "V 5.665e+01, p 0.000e+00\n", "Run mean: 3.1312927449591803\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.linspace(0, 2 * np.pi, 9)\n", "fig, ax = plt.subplots(subplot_kw={'polar':True})\n", "\n", "df_sig = df.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff = (df_sig['tonicspk_phase'] - df_sig['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff, bins=bins, ax=ax, color='gray', ls='--')\n", "\n", "df_sig_run = df_run.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff_run = (df_sig_run['tonicspk_phase'] - df_sig_run['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff_run, bins=bins, ax=ax, color='black')\n", "\n", "ax.set_xlabel(r'$\\Delta$ Phase preference' + '\\nTonic spike - burst')\n", "ax.set_yticks([0.25, 0.5])\n", "ax.set_yticklabels([])\n", "# ax.set_ylim(top=0.5)\n", "\n", "set_plotsize(w=1.5, h=1.5)\n", "fig.savefig(FIGUREPATH + 'phase_diff_circhist_run.svg')\n", "\n", "N = len(phase_diff_run)\n", "p, v = vtest(phase_diff_run, np.pi)\n", "print(f'V {v:.3e}, p {p:.3e}')\n", "print(f'Run mean: {circmean_angle(phase_diff_run)}')" ] }, { "cell_type": "code", "execution_count": 47, "id": "191cb6df-66a3-4910-9915-4418aca15d7e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tonicspk median: 0.0081, N: 682\n", "Tonicspk run median: 0.0254, N: 359\n", "MannwhitneyuResult(statistic=71533.0, pvalue=2.5620688026174607e-28)\n", "Burst median: 0.0528, N: 320\n", "Burst run median: 0.0927, N: 133\n", "MannwhitneyuResult(statistic=13432.0, pvalue=6.236365385831146e-10)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "ax = coupling_strength_line_plot(df_run, agg=np.median, err=se_median, ax=ax)\n", "ax = coupling_strength_line_plot(df, agg=np.median, err=se_median, ax=ax, alpha=0.5)\n", "\n", "yticks = [-4, -2, 0]\n", "ax.set_yticks(yticks)\n", "ax.set_yticklabels(['10$^{%d}$' % tick for tick in yticks])\n", "ax.set_ylim(bottom=-4.1)\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=3, h=2)\n", "fig.savefig(FIGUREPATH + 'coupling_strength_run.svg')\n", "\n", "for event in ['tonicspk', 'burst']:\n", " strengths = df.query(f'{event}_sig == True')[f'{event}_strength']\n", " strengths_run = df_run.query(f'{event}_sig == True')[f'{event}_strength']\n", " print(f'{event.capitalize()} median: {strengths.median():.4f}, N: {len(strengths)}')\n", " print(f'{event.capitalize()} run median: {strengths_run.median():.4f}, N: {len(strengths_run)}')\n", " print(mannwhitneyu(strengths, strengths_run))" ] }, { "cell_type": "markdown", "id": "6e82c519-2faf-4b30-a1d4-57f234b58c43", "metadata": {}, "source": [ "### Figure 4C\n", "Phase tuning analyses after eliminating spikes occurring during saccades, and peri-saccadic period." ] }, { "cell_type": "code", "execution_count": 48, "id": "1820ec84-543e-433e-887e-c7027455df0b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: pupil_sparsenoise.pkl\n", "Loading: pupil_spontaneous.pkl\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_pupil = load_data('pupil', ['sparsenoise', 'spontaneous']).set_index(['m', 's', 'e'])\n", "\n", "# TODO: move this to parameters\n", "key = {'m': 'PVCre_2019_0002', 's': 7, 'e':9}\n", "t0, t1 = 177, 193\n", "\n", "fig, ax = plt.subplots()\n", "\n", "tpts = df_pupil['pupil_tpts'].loc[key2idx(key)]\n", "i0, i1 = tpts.searchsorted([t0, t1])\n", "\n", "az = df_pupil['pupil_azimuth'].loc[key2idx(key)]\n", "ax.plot(tpts[i0:i1], az[i0:i1] - np.nanmedian(az), color=COLORS['azimuth'])\n", "el = df_pupil['pupil_elevation'].loc[key2idx(key)]\n", "ax.plot(tpts[i0:i1], el[i0:i1] - np.nanmedian(el), color=COLORS['elevation'])\n", "ax.xaxis.set_visible(False)\n", "ax.yaxis.set_visible(False)\n", "ax.set_frame_on(False)\n", "#ax.invert_yaxis()\n", "\n", "saccades = df_pupil['saccade_times'].loc[key2idx(key)]\n", "saccades = saccades[(saccades >= t0) & (saccades <= t1)]\n", "for saccade in saccades:\n", " ax.axvline(saccade, lw=1, ls='--', color='gray')\n", " ax.axvline(saccade, lw=1, ls='--', color='gray')\n", " \n", "saccade_tranges = np.column_stack([saccades - 2, saccades + 2])\n", "saccade_tranges = merge_ranges(saccade_tranges, dt=np.diff(tpts).mean())\n", "tranges = switch_ranges(saccade_tranges, dt=np.diff(tpts).mean(), minval=t0, maxval=t1)\n", "for rt0, rt1 in tranges:\n", " ax.plot([rt0, rt1], [-5, -5], lw=2, color='gray')\n", "\n", "ax.plot([t1 - 3, t1 + 2], [-8, -8], lw=2, color='black')\n", "ax.text(t1 - 3, -11, '5s', fontsize=LABELFONTSIZE)\n", "ax.plot([t1 + 2, t1 + 2], [-8, -3], lw=2, color='black')\n", "ax.text(t1 + 2.5, -5, '5$^\\circ$', fontsize=LABELFONTSIZE)\n", "\n", "fig.subplots_adjust(hspace=0)\n", "set_plotsize(w=2, h=1.5)\n", "\n", "fig.savefig(FIGUREPATH + 'saccade_example_short.svg')" ] }, { "cell_type": "code", "execution_count": 49, "id": "8043b00b-aa06-4bac-827b-16aa89a5b56d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: phasetuning_spontaneous_nosaccade.pkl\n", "Loading: phasetuning_sparsenoise_nosaccade.pkl\n", "Neurons with significant coupling: 0.974 (151/155)\n", "Tonicspk prop. significant: 0.974 (151/155)\n", "Tonicspk num. CPDs per neuron: 4.09, 1.60\n", "Burst prop. significant: 0.817 (94/115)\n", "Burst num. CPDs per neuron: 2.47, 1.81\n" ] } ], "source": [ "conditions = ['spontaneous', 'sparsenoise']\n", "\n", "df_saccade = load_data('phasetuning', conditions, subsample='nosaccade')\n", "df_saccade['tonicspk_sig'] = df_saccade['tonicspk_p'] <= 0.05\n", "df_saccade['burst_sig'] = df_saccade['burst_p'] <= 0.05\n", "df_saccade['freq_bin'] = np.digitize(df_saccade['freq'], bins=FREQUENCYBINS).clip(1, len(FREQUENCYBINS) - 1)\n", "coupling_summary(df_saccade)" ] }, { "cell_type": "code", "execution_count": 50, "id": "459491fe-3725-4a7c-88ff-4988e1477379", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "ax = phase_coupling_scatter(df_saccade, ax=ax)\n", "set_plotsize(w=2, h=2)\n", "clip_axes_to_ticks(ax=ax)\n", "\n", "fig.savefig(FIGUREPATH + 'phase_coupling_scatter_nosaccade.svg')" ] }, { "cell_type": "code", "execution_count": 51, "id": "27b00e5e-0801-4d2d-9d9e-0dc51e5a6091", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "V 1.315e+02, p 0.000e+00\n", "No saccade mean: 2.908625168749138\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.linspace(0, 2 * np.pi, 9)\n", "fig, ax = plt.subplots(subplot_kw={'polar':True})\n", "\n", "df_sig = df.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff = (df_sig['tonicspk_phase'] - df_sig['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff, bins=bins, ax=ax, color='gray', ls='--')\n", "\n", "df_sig_saccade = df_saccade.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff_saccade = (df_sig_saccade['tonicspk_phase'] - df_sig_saccade['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff_saccade, bins=bins, ax=ax, color='black')\n", "\n", "ax.set_xlabel(r'$\\Delta$ Phase preference' + '\\nTonic spike - burst')\n", "ax.set_yticks([0.25, 0.5])\n", "ax.set_yticklabels([])\n", "# ax.set_ylim(top=0.5)\n", "\n", "set_plotsize(w=1.5, h=1.5)\n", "fig.savefig(FIGUREPATH + 'phase_diff_circhist_nosaccade.svg')\n", "\n", "N = len(phase_diff_saccade)\n", "p, v = vtest(phase_diff_saccade, np.pi)\n", "print(f'V {v:.3e}, p {p:.3e}')\n", "print(f'No saccade mean: {circmean_angle(phase_diff_saccade)}')" ] }, { "cell_type": "code", "execution_count": 52, "id": "215ae809-91e1-49ce-8075-9642fa6236f7", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/crombie/code/imftuning_code/util.py:346: RuntimeWarning: invalid value encountered in log10\n", " ax.plot(FREQUENCYXPOS, np.log10(ys - yerr), color=COLORS[event], lw=0.5, ls='--', **kwargs)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Tonicspk median: 0.0081, N: 682\n", "Tonicspk saccade median: 0.0090, N: 634\n", "MannwhitneyuResult(statistic=205181.0, pvalue=0.109903754705229)\n", "Burst median: 0.0528, N: 320\n", "Burst saccade median: 0.0545, N: 284\n", "MannwhitneyuResult(statistic=45418.0, pvalue=0.9919859878683999)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "ax = coupling_strength_line_plot(df_saccade, agg=np.median, err=se_median, ax=ax)\n", "ax = coupling_strength_line_plot(df, agg=np.median, err=se_median, ax=ax, alpha=0.5)\n", "\n", "yticks = [-4, -2, 0]\n", "ax.set_yticks(yticks)\n", "ax.set_yticklabels(['10$^{%d}$' % tick for tick in yticks])\n", "ax.set_ylim(bottom=-4.1)\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=3, h=2)\n", "fig.savefig(FIGUREPATH + 'coupling_strength_saccade.svg')\n", "\n", "for event in ['tonicspk', 'burst']:\n", " strengths = df.query(f'{event}_sig == True')[f'{event}_strength']\n", " strengths_saccade = df_saccade.query(f'{event}_sig == True')[f'{event}_strength']\n", " print(f'{event.capitalize()} median: {strengths.median():.4f}, N: {len(strengths)}')\n", " print(f'{event.capitalize()} saccade median: {strengths_saccade.median():.4f}, N: {len(strengths_saccade)}')\n", " print(mannwhitneyu(strengths, strengths_saccade))" ] }, { "cell_type": "markdown", "id": "d7dbf8b8", "metadata": {}, "source": [ "### Figure 5A\n", "Movie responses for an example neuron." ] }, { "cell_type": "code", "execution_count": 53, "id": "9cd9b46b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: spikes_natmov_opto.pkl\n", "Loading: spikes_natmov.pkl\n", "Loading: trials_natmov_opto.pkl\n", "Loading: trials_natmov.pkl\n" ] } ], "source": [ "df_spikes = load_data('spikes', ['natmov_opto', 'natmov'])\n", "df_spikes = filter_units(df_spikes, MINRATE)\n", "\n", "df_trials = load_data('trials', ['natmov_opto', 'natmov'])\n", "df_trials.rename(columns={'trial_on_time':'trial_on_times', 'trial_off_time':'trial_off_times'}, inplace=True)\n", "df_trials = df_trials.apply(get_trials, stim_id=0, opto=False, axis='columns')\n", "\n", "df_spikes = pd.merge(df_spikes, df_trials).set_index(['m', 's', 'e', 'u'])" ] }, { "cell_type": "code", "execution_count": 54, "id": "f0f9ba10", "metadata": {}, "outputs": [], "source": [ "# Get tonic spike and burst rasters\n", "df_spikes['natmov_tonicspk'] = df_spikes.apply(get_raster, events='trial_on', spike_type='tonicspk', post=5, axis='columns')\n", "df_spikes['natmov_burst'] = df_spikes.apply(get_raster, events='trial_on', spike_type='burst', post=5, axis='columns')" ] }, { "cell_type": "code", "execution_count": 55, "id": "cdc36c39", "metadata": {}, "outputs": [], "source": [ "# Get responses to stimuli (incl. pre-trial ISI for baseline)\n", "kwargs = {'pre':-1, 'post':6, 'dt':0.01, 'bw':0.05, 'baseline':[-1, 0]}\n", "tpts = np.arange(kwargs['pre'], kwargs['post'], kwargs['dt'])\n", "# get_psth estimates inst. for each trial\n", "df_spikes['natmov_psth'] = df_spikes.apply(apply_get_psth, events='trial_on', spike_type='spk', **kwargs, axis='columns')" ] }, { "cell_type": "code", "execution_count": 56, "id": "e196a5fc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "RVR median: 0.160\n", "RVR > 1: 1.000 (64/64)\n", "RVR > 0.5: 0.906\n" ] } ], "source": [ "# Get the SNR during the stimulus for each unit\n", "def snr(responses):\n", " return responses.mean(axis=0).var() / responses.var(axis=0).mean()\n", "\n", "i0, i1 = tpts.searchsorted([0, 5])\n", "df_spikes['natmov_rvr'] = df_spikes['natmov_psth'].apply(lambda x: snr(x[:, i0:i1]))\n", "\n", "print(\"RVR median: %.3f\" % df_spikes['natmov_rvr'].median())\n", "print(\"RVR > 1: %.3f (%d/%d)\" % ((df_spikes['natmov_rvr'] < 1).sum() / len(df_spikes), (df_spikes['natmov_rvr'] < 1).sum(), len(df_spikes)))\n", "print(\"RVR > 0.5: %.3f\" % ((df_spikes['natmov_rvr'] < 0.5).sum() / len(df_spikes)))" ] }, { "cell_type": "code", "execution_count": 57, "id": "29763927", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "bins = np.linspace(0, 2, 17)\n", "weights = np.ones(len(df_spikes)) / len(df_spikes)\n", "ax.hist(df_spikes['natmov_rvr'], bins=bins, weights=weights, lw=1, fc='gray', ec='black')\n", "ax.axvline(1, ls='--', lw=1, color='gray')\n", "ax.scatter(df_spikes['natmov_rvr'].median(), 0.5, marker='v', fc='none', ec='gray', s=7)\n", "\n", "ax.set_xticks([0, 1, 2])\n", "ax.set_xlabel('Neural RVR')\n", "ax.set_yticks([0, 0.25, 0.5])\n", "ax.set_ylabel('Neurons')\n", "clip_axes_to_ticks(ax=ax)\n", "\n", "set_plotsize(w=2, h=2)\n", "\n", "fig.savefig(FIGUREPATH + 'natmov_rvr_spikes.svg')" ] }, { "cell_type": "code", "execution_count": 58, "id": "5c50cd8c-e92f-49b8-9941-b2fbf2ba8f60", "metadata": {}, "outputs": [], "source": [ "i0, i1 = tpts.searchsorted([-0.5, 5.5])\n", "df_spikes['natmov_psth'] = df_spikes['natmov_psth'].apply(lambda x: x[:, i0:i1])\n", "df_spikes['natmov_resp'] = df_spikes['natmov_psth'].apply(lambda x: x.mean(axis=0))" ] }, { "cell_type": "code", "execution_count": 59, "id": "c09e4b05", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "idx = key2idx(FIG5AEXAMPLEKEY)\n", "tonic_raster = df_spikes.loc[idx]['natmov_tonicspk']\n", "burst_raster = df_spikes.loc[idx]['natmov_burst']\n", "rvr = df_spikes.loc[idx]['natmov_rvr']\n", "signal = df_spikes.loc[idx]['natmov_resp']\n", "noise = df_spikes.loc[idx]['natmov_psth'].mean(axis=1)\n", "n_trials = len(tonic_raster)\n", "\n", "fig, ax = plt.subplots()\n", "for trial_i, (tonic, burst) in enumerate(zip(tonic_raster, burst_raster)):\n", " for spike in tonic:\n", " ax.plot([spike, spike], [trial_i - 0.3, trial_i + 0.3], color='black', lw=0.5)\n", " for spike in burst:\n", " ax.plot([spike, spike], [trial_i - 0.3, trial_i + 0.3], color='red', lw=1.5)\n", "ax.set_xlim([0, 5])\n", "ax.set_yticks(np.arange(0, n_trials + 1, 50))\n", "ax.invert_yaxis()\n", "ax.set_ylim([n_trials, 0])\n", "ax.set_ylabel('Trial')\n", "ax.text(0.05, 1.05, f'RVR = {rvr:.2f}', fontsize=LABELFONTSIZE, transform=ax.transAxes)\n", "ax.xaxis.set_visible(False)\n", "clip_axes_to_ticks(ax=ax, spines=['left'])\n", "\n", "fig.subplots_adjust(bottom=0.3, right=0.7)\n", "bbox = ax.get_position()\n", "\n", "ax_psth = fig.add_axes([bbox.x0, bbox.y0 - 0.2, bbox.width, 0.15])\n", "i0, i1 = tpts.searchsorted([-0.5, 5.5])\n", "ax_psth.plot(tpts[i0:i1], signal - signal.mean(), color='black')\n", "ax_psth.set_xlim([0, 5])\n", "ax_psth.set_xlabel('Time (s)')\n", "ax_psth.set_yticks([-50, 0, 50])\n", "ax_psth.set_ylim(bottom=-55)\n", "ax_psth.set_ylabel('\"Response\"\\n(spks/s)')\n", "clip_axes_to_ticks(ax=ax_psth)\n", "\n", "ax_noise = fig.add_axes([bbox.x1 + 0.05, bbox.y0, 0.15, bbox.height])\n", "ax_noise.plot(noise - noise.mean(), np.arange(len(noise)), color='black')\n", "ax_noise.set_xticks([-50, 0, 50])\n", "ax_noise.set_xlabel('\"Variability\"\\n(spks/s)')\n", "ax_noise.yaxis.set_visible(False)\n", "ax_noise.invert_yaxis()\n", "ax_noise.set_ylim([n_trials, 0])\n", "\n", "clip_axes_to_ticks(ax=ax_noise, spines=['bottom'])\n", "set_plotsize(w=4, h=4)\n", "\n", "fig.savefig(FIGUREPATH + 'natmov_raster.svg')" ] }, { "cell_type": "markdown", "id": "5344584b", "metadata": {}, "source": [ "### Figure 5B\n", "Pupil size movie responses." ] }, { "cell_type": "code", "execution_count": 60, "id": "49783e1e-185a-47b7-9ef6-570ff620249d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: pupil_natmov_opto.pkl\n", "Loading: pupil_natmov.pkl\n", "Loading: trials_natmov_opto.pkl\n", "Loading: trials_natmov.pkl\n" ] } ], "source": [ "df_pupil = load_data('pupil', ['natmov_opto', 'natmov'])\n", "\n", "df_trials = load_data('trials', ['natmov_opto', 'natmov'])\n", "df_trials.rename(columns={'trial_on_time':'trial_on_times', 'trial_off_time':'trial_off_times'}, inplace=True)\n", "df_trials = df_trials.apply(get_trials, stim_id=0, opto=False, axis='columns')\n", "\n", "df = pd.merge(df_trials, df_pupil).set_index(['m', 's', 'e'])" ] }, { "cell_type": "code", "execution_count": 61, "id": "04b3380e", "metadata": {}, "outputs": [], "source": [ "kwargs = {'pre':-1, 'post':6, 'dt':0.01, 'bw':0.05, 'baseline':[-1, 0]}\n", "df['natmov_pupil_response'] = df.apply(apply_get_responses, events='trial_on', data='pupil_area', post=5, axis='columns')\n", "\n", "def snr(responses):\n", " return np.nanmean(responses, axis=0).var() / np.nanvar(responses, axis=0).mean()\n", "\n", "df['natmov_snr_pupil'] = df['natmov_pupil_response'].apply(lambda x: snr(x[:, i0:i1]))" ] }, { "cell_type": "code", "execution_count": 62, "id": "f0fdf3d8", "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "pupil_snr = df['natmov_snr_pupil']\n", "ax.hist(pupil_snr, bins=np.linspace(0, 2, 15), lw=1, fc='gray', ec='black')\n", "ax.axvline(1, ls='--', lw=1, color='gray')\n", "\n", "ax.set_xticks([0, 1, 2])\n", "ax.set_xlabel('Pupil RVR')\n", "ax.set_yticks([0, 5, 10])\n", "ax.set_ylabel('Recording sessions')\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=2, h=2)\n", "\n", "fig.savefig(FIGUREPATH + 'natmov_rvr_pupil.svg')" ] }, { "cell_type": "code", "execution_count": 63, "id": "6dad0d3d-8010-4417-8258-a97bf059c646", "metadata": {}, "outputs": [], "source": [ "# Raw data needed for full 200 trial example because normally 'pupil' dataframes \n", "# from fetch_data only store the longest continuous segment of data\n", "df_example = pd.read_pickle(DATAPATH + '/pupil_fig5Aexample.pkl')\n", "df_example = pd.merge(df_trials, df_example).set_index(['m', 's', 'e'])\n", "\n", "kwargs = {'pre':-1, 'post':6, 'dt':0.01, 'bw':0.05, 'baseline':[-1, 0]}\n", "df_example['natmov_pupil_response'] = df_example.apply(apply_get_responses, events='trial_on', data='pupil_area', post=5, axis='columns')" ] }, { "cell_type": "code", "execution_count": 64, "id": "106210d3", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_53393/1454789840.py:4: RuntimeWarning: Mean of empty slice\n", " noise = np.nanmean(pupil_raster, axis=1)\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "idx = key2idx(FIG5AEXAMPLEKEY)[:-1]\n", "pupil_raster = df_example.loc[idx]['natmov_pupil_response']\n", "signal = np.nanmean(pupil_raster, axis=0)\n", "noise = np.nanmean(pupil_raster, axis=1)\n", "n_trials = len(pupil_raster)\n", "\n", "fig, ax = plt.subplots()\n", "\n", "mat = ax.matshow(pupil_raster, vmin=0.0, vmax=0.05, aspect='auto')\n", "ax.set_xlim([0, pupil_raster.shape[1]])\n", "ax.xaxis.set_visible(False)\n", "ax.set_yticks(np.arange(0, n_trials + 1, 50))\n", "ax.set_ylim([n_trials, 0])\n", "ax.set_ylabel('Trial')\n", "clip_axes_to_ticks(ax=ax, spines=['left'])\n", "\n", "fig.subplots_adjust(bottom=0.3, right=0.7)\n", "bbox = ax.get_position()\n", "\n", "cax = fig.add_axes([bbox.x0, bbox.y1 + 0.01, 0.3, 0.015])\n", "cbar = plt.colorbar(mat, cax=cax, orientation='horizontal', label='Pupil size (% eye area)')\n", "cbar.set_ticks([0, 0.025, 0.05])\n", "cbar.set_ticklabels([0, 2.5, 5])\n", "cax.xaxis.set_ticks_position('top')\n", "cax.xaxis.set_label_position('top')\n", "\n", "ax_psth = fig.add_axes([bbox.x0, bbox.y0 - 0.2, bbox.width, 0.15])\n", "ax_psth.plot(np.linspace(0, 5, len(signal)), signal - signal.mean(), color='black')\n", "ax_psth.set_xlim([0, 5])\n", "ax_psth.set_xlabel('Time (s)')\n", "ax_psth.set_yticks([-0.02, 0, 0.02])\n", "ax_psth.set_ylim(bottom=-0.027)\n", "ax_psth.set_ylabel('\"Response\"\\n(% eye area)')\n", "clip_axes_to_ticks(ax=ax_psth)\n", "\n", "ax_noise = fig.add_axes([bbox.x1 + 0.05, bbox.y0, 0.15, bbox.height])\n", "\n", "ax_noise.plot(noise - np.nanmean(noise), np.arange(n_trials), color='black')\n", "ax_noise.set_xlabel('\"Variability\"\\n(% eye area)')\n", "ax_noise.yaxis.set_visible(False)\n", "ax_noise.invert_yaxis()\n", "ax_noise.set_ylim([pupil_raster.shape[0], 0])\n", "ax_noise.set_xticks([-0.02, 0, 0.02])\n", "plt.xticks(rotation=315)\n", "clip_axes_to_ticks(ax=ax_noise, spines=['bottom'])\n", "\n", "set_plotsize(w=4, h=4)\n", "fig.savefig(FIGUREPATH + 'natmov_pupilraster.svg')" ] }, { "cell_type": "code", "execution_count": 65, "id": "788ea42d-e5c4-4ba0-84ea-35440b4fd441", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: phasetuning_spontaneous.pkl\n", "Loading: phasetuning_sparsenoise.pkl\n", "Loading: phasetuning_natmov_noopto.pkl\n", "Loading: phasetuning_natmov_opto_noopto.pkl\n", "Neurons with significant coupling: 0.984 (62/63)\n", "Tonicspk prop. significant: 0.984 (62/63)\n", "Tonicspk num. CPDs per neuron: 4.33, 1.67\n", "Burst prop. significant: 0.627 (32/51)\n", "Burst num. CPDs per neuron: 1.33, 1.37\n" ] } ], "source": [ "df = load_data('phasetuning', ['spontaneous', 'sparsenoise'])\n", "df['tonicspk_sig'] = df['tonicspk_p'] <= 0.05\n", "df['burst_sig'] = df['burst_p'] <= 0.05\n", "df['freq_bin'] = np.digitize(df['freq'], bins=FREQUENCYBINS).clip(1, len(FREQUENCYBINS) - 1)\n", "\n", "df_natmov = load_data('phasetuning', ['natmov', 'natmov_opto'], subsample='noopto')\n", "df_natmov['tonicspk_sig'] = df_natmov['tonicspk_p'] <= 0.05\n", "df_natmov['burst_sig'] = df_natmov['burst_p'] <= 0.05\n", "df_natmov['freq_bin'] = np.digitize(df_natmov['freq'], bins=FREQUENCYBINS).clip(1, len(FREQUENCYBINS) - 1)\n", "coupling_summary(df_natmov)" ] }, { "cell_type": "code", "execution_count": 66, "id": "82b672c7-800d-4837-9efe-1504485acca0", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "ax = phase_coupling_scatter(df_natmov, ax=ax)\n", "set_plotsize(w=2, h=2)\n", "clip_axes_to_ticks(ax=ax)\n", "\n", "fig.savefig(FIGUREPATH + 'phase_coupling_scatter_natmov.svg')" ] }, { "cell_type": "code", "execution_count": 70, "id": "60c99c41-203d-484c-b92a-ac35776ff373", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.linspace(-np.pi, np.pi, 9)\n", "fig, ax = plt.subplots(subplot_kw={'polar':True})\n", "for event in ['tonicspk', 'burst']:\n", " natmov_phases = df_natmov.query(f'(freq_bin <= 4) & ({event}_sig == True)')[f'{event}_phase']\n", " _, _ = plot_circhist(natmov_phases, bins=bins, ax=ax, color=COLORS[event])\n", "\n", "ax.set_xlabel(r'Phase preference')\n", "ax.set_yticks([0.25, 0.5])\n", "ax.set_yticklabels([])\n", "\n", "set_plotsize(w=1.5, h=1.5)\n", "fig.savefig(FIGUREPATH + 'phase_pref_circhist_natmov_lowfreq.svg')" ] }, { "cell_type": "code", "execution_count": 71, "id": "67dc81fd-bf9c-466a-a94e-d678acc5876b", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.linspace(-np.pi, np.pi, 9)\n", "fig, ax = plt.subplots(subplot_kw={'polar':True})\n", "for event in ['tonicspk', 'burst']:\n", " natmov_phases = df_natmov.query(f'(freq_bin > 4) & ({event}_sig == True)')[f'{event}_phase']\n", " _, _ = plot_circhist(natmov_phases, bins=bins, ax=ax, color=COLORS[event])\n", "\n", "ax.set_xlabel(r'Phase preference')\n", "ax.set_yticks([0.25, 0.5])\n", "ax.set_yticklabels([])\n", "\n", "set_plotsize(w=1.5, h=1.5)\n", "fig.savefig(FIGUREPATH + 'phase_pref_circhist_natmov_highfreq.svg')" ] }, { "cell_type": "code", "execution_count": 72, "id": "6f5f176f-ba5c-4a50-ac91-1ae802ee3b16", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "V 1.598e+01, p 1.263e-03\n", "Natmov mean: 2.845729669435725\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.linspace(0, 2 * np.pi, 9)\n", "fig, ax = plt.subplots(subplot_kw={'polar':True})\n", "\n", "df_sig = df.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff = (df_sig['tonicspk_phase'] - df_sig['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff, bins=bins, ax=ax, color='gray', ls='--')\n", "\n", "df_sig_natmov = df_natmov.query('(tonicspk_sig == True) & (burst_sig == True)')\n", "phase_diff_natmov = (df_sig_natmov['tonicspk_phase'] - df_sig_natmov['burst_phase']) % (2 * np.pi)\n", "ax, counts = plot_circhist(phase_diff_natmov, bins=bins, ax=ax, color='black')\n", "\n", "ax.set_xlabel(r'$\\Delta$ Phase preference' + '\\nTonic spike - burst')\n", "ax.set_yticks([0.25, 0.5])\n", "ax.set_yticklabels([])\n", "# ax.set_ylim(top=0.5)\n", "\n", "set_plotsize(w=1.5, h=1.5)\n", "fig.savefig(FIGUREPATH + 'phase_diff_circhist_natmov.svg')\n", "\n", "N = len(phase_diff_natmov)\n", "p, v = vtest(phase_diff_natmov, np.pi)\n", "print(f'V {v:.3e}, p {p:.3e}')\n", "print(f'Natmov mean: {circmean_angle(phase_diff_natmov)}')" ] }, { "cell_type": "code", "execution_count": 73, "id": "260ff479-09aa-45d1-b186-e7d6b17f8695", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tonicspk median: 0.0081, N: 682\n", "Tonicspk natmov median: 0.0050, N: 273\n", "MannwhitneyuResult(statistic=105686.0, pvalue=0.0010768389702425123)\n", "Burst median: 0.0528, N: 320\n", "Burst natmov median: 0.0332, N: 68\n", "MannwhitneyuResult(statistic=12063.0, pvalue=0.15914559366740322)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "ax = coupling_strength_line_plot(df_natmov, agg=np.median, err=se_median, ax=ax)\n", "ax = coupling_strength_line_plot(df, agg=np.median, err=se_median, ax=ax, alpha=0.5)\n", "\n", "yticks = [-4, -2, 0]\n", "ax.set_yticks(yticks)\n", "ax.set_yticklabels(['10$^{%d}$' % tick for tick in yticks])\n", "ax.set_ylim(bottom=-4.1)\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=3, h=2)\n", "fig.savefig(FIGUREPATH + 'coupling_strength_natmov.svg')\n", "\n", "for spk_type in ['tonicspk', 'burst']:\n", " strengths = df.query(f'{spk_type}_sig == True')[f'{spk_type}_strength']\n", " strengths_natmov = df_natmov.query(f'{spk_type}_sig == True')[f'{spk_type}_strength']\n", " print(f'{spk_type.capitalize()} median: {strengths.median():.4f}, N: {len(strengths)}')\n", " print(f'{spk_type.capitalize()} natmov median: {strengths_natmov.median():.4f}, N: {len(strengths_natmov)}')\n", " print(mannwhitneyu(strengths, strengths_natmov))" ] }, { "cell_type": "markdown", "id": "58de99c4", "metadata": {}, "source": [ "### Figure 5D\n", "Stimulus decoding across phase bins." ] }, { "cell_type": "code", "execution_count": 74, "id": "aaccdefb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading: imfdecoding_natmov.pkl\n", "Loading: imfdecoding_natmov_opto.pkl\n", "Loading: phasetuning_natmov_noopto.pkl\n", "Loading: phasetuning_natmov_opto_noopto.pkl\n" ] } ], "source": [ "conditions = ['natmov', 'natmov_opto']\n", "\n", "df_decoding = load_data('imfdecoding', conditions)\n", "df_decoding.rename({'tonicspk_phase':'tonicspk_score', 'burst_phase':'burst_score'}, inplace=True, axis='columns')\n", "df_tuning = load_data('phasetuning', conditions, tranges='noopto')\n", "\n", "df = pd.merge(df_decoding, df_tuning).set_index(['m', 's', 'e', 'u', 'imf'])\n", "df['tonicspk_sig'] = df['tonicspk_p'] <= 0.05\n", "df['burst_sig'] = df['burst_p'] <= 0.05" ] }, { "cell_type": "code", "execution_count": 75, "id": "24358c77", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.99609375 399\n", "0.9960238568588469 399\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "positions = np.log10(FREQUENCYBINS[:-1]) + 0.25\n", "xoffset = 0.075\n", "for phasebin in [1, 2]:\n", " scores = sort_data(df['stim_train%d_test%d' % (phasebin, phasebin)], df['freq'], bins=FREQUENCYBINS)\n", " violins = ax.violinplot(scores, positions - xoffset, widths=0.2, showextrema=False)\n", " for violin in violins['bodies']:\n", " violin.set_facecolor('none')\n", " violin.set_edgecolor(COLORS['phasebin%d' % phasebin])\n", " violin.set_linewidth(2)\n", " violin.set_alpha(1)\n", " ax.scatter(positions - xoffset, [s.mean() for s in scores], marker='_', color='black')\n", " ax.axhline(0.2, ls='--', lw=1, color='gray')\n", " \n", " xoffset *= -1\n", " \n", " print(np.median(np.concatenate(scores)), len(np.concatenate(scores)))\n", "\n", "ax.set_xticks(FREQUENCYTICKS)\n", "ax.set_xticklabels(FREQUENCYTICKLABELS)\n", "ax.set_xlim(left=-3.11)\n", "ax.set_xlabel('Timescale (Hz)')\n", "ax.set_yticks([0, 0.2, 1])\n", "ax.set_ylim(bottom=-0.05)\n", "ax.set_ylabel('Decoding accuracy')\n", "\n", "clip_axes_to_ticks(ax=ax)\n", "set_plotsize(w=3, h=2)\n", "\n", "fig.savefig(FIGUREPATH + 'stimulus_decoding.svg')" ] }, { "cell_type": "code", "execution_count": 76, "id": "45bdc416", "metadata": {}, "outputs": [], "source": [ "for pbin in [1, 2]:\n", " if pbin == 1:\n", " df['train%d_diff' % pbin] = df['stim_train%d_test2' % pbin] - df['stim_train%d_test%d' % (pbin, pbin)]\n", " elif pbin == 2:\n", " df['train%d_diff' % pbin] = df['stim_train%d_test1' % pbin] - df['stim_train%d_test%d' % (pbin, pbin)]\n", " df['train%d_rank' % pbin] = df.apply(lambda x: 10 - x['stim_testshf'].searchsorted(x['train%d_diff' % pbin]), axis='columns')\n", " df['train%d_sig' % pbin] = df.apply(lambda x: x['train%d_rank' % pbin] >= 10, axis='columns')" ] }, { "cell_type": "code", "execution_count": 77, "id": "2665c204", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Phasebin 1: rank >= 10 in 54/63 units\n", "Phasebin 2: rank >= 10 in 57/63 units\n" ] }, { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "positions = np.log10(FREQUENCYBINS[:-1]) + 0.25\n", "for phasebin in [1, 2]:\n", " fig, ax = plt.subplots()\n", "\n", " rank10 = df.groupby(['m', 's', 'e', 'u']).apply(lambda x: (x[f'train{phasebin}_rank'] == 10).any())\n", " print(f'Phasebin {phasebin}: rank >= 10 in {rank10.sum()}/{len(rank10)} units')\n", " \n", " ranks = sort_data(df['train%d_rank' % phasebin], df['freq'], bins=FREQUENCYBINS)\n", " violins = ax.violinplot(ranks, positions, widths=0.2, showextrema=False)\n", " for violin in violins['bodies']:\n", " violin.set_facecolor('none')\n", " violin.set_edgecolor(COLORS['phasebin%d' % phasebin])\n", " violin.set_linewidth(2)\n", " violin.set_alpha(1)\n", " ax.scatter(positions, [np.median(r) for r in ranks], marker='_', color='black')\n", " \n", " ax.set_xticks(FREQUENCYTICKS)\n", " ax.set_xticklabels(FREQUENCYTICKLABELS)\n", " ax.set_xlim(left=-3.11)\n", " ax.set_xlabel('Timescale (Hz)')\n", " ax.set_yticks([0, 5, 10])\n", " ax.set_ylim(bottom=-0.05)\n", " ax.set_ylabel('Decoding penalty rank')\n", "\n", " clip_axes_to_ticks(ax=ax)\n", " set_plotsize(w=3, h=2)\n", " \n", " fig.savefig(FIGUREPATH + 'stimulus_decoding_ranks%d.svg' % phasebin)" ] }, { "cell_type": "code", "execution_count": 78, "id": "1cc4a02c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-0.33605152277351447\n", "-0.3448659864844835\n" ] }, { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "positions = np.log10(FREQUENCYBINS[:-1]) + 0.25\n", "for phasebin in [1, 2]:\n", " fig, ax = plt.subplots()\n", " \n", " df_sig = df.query('train%d_sig' % phasebin)\n", " penalties = sort_data(df_sig['train%d_diff' % phasebin], df_sig['freq'], bins=FREQUENCYBINS)\n", " violins = ax.violinplot(penalties, positions, widths=0.2, showextrema=False)\n", " for violin in violins['bodies']:\n", " violin.set_facecolor('none')\n", " violin.set_edgecolor(COLORS['phasebin%d' % phasebin])\n", " violin.set_linewidth(2)\n", " violin.set_alpha(1)\n", " ax.scatter(positions, [np.median(p) for p in penalties], marker='_', color='black')\n", "\n", " print(np.median(np.concatenate(penalties)))\n", " \n", " ax.axhline(0, ls='--', color='gray')\n", " \n", " ax.set_xticks(FREQUENCYTICKS)\n", " ax.set_xticklabels(FREQUENCYTICKLABELS)\n", " ax.set_xlim(left=-3.11)\n", " ax.set_xlabel('Timescale (Hz)')\n", " ax.set_yticks([-1, 0, 1])\n", " ax.set_ylim(bottom=-1.05)\n", " ax.set_ylabel('Decoding penalty')\n", "\n", " clip_axes_to_ticks(ax=ax)\n", " set_plotsize(w=3, h=2)\n", " \n", " fig.savefig(FIGUREPATH + 'stimulus_decoding_penalties%d.svg' % phasebin)" ] }, { "cell_type": "code", "execution_count": null, "id": "7e096088", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.4" } }, "nbformat": 4, "nbformat_minor": 5 }