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@@ -1,29 +1,23 @@
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-# Code for Task Engagement Prediction from CSD profiles
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-
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-The following files contain the code used for CSD estimation from the LFPs from Allen Brain Observatory and the task engagement prediction using Linear Discriminant Analysis.
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-## Jupyter Notebooks
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-
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-### Stim_to_LFP.ipynb
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-This notebook contains the first steps for Allen data obtention. It saves the desired sessions and the LFPs, and aligns them to the novel stimuli presentations.
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-
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-### get_cortical_layers.ipynb
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-This notebook upgrades the channel dataframes from the previous notebook by adding the labels on Cortical Layers using the Common Coordinates Framework from Allen Brain Map.
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-
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-### get_CSD.ipynb
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-This notebook computes the Current Source Densities for all the LFP data
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-
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-### get_power_spectra.ipynb
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-The same as get_CSD.ipynb but for the obtention of Power Spectra
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-
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-### CSD_Analysis.ipynb
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-This notebook performs the data discretization and prepares it for task engagement prediction with LDA
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-
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-### Spectral_Analysis.ipynb
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-The same as get_CSD.ipynb but from Power Spectra
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-
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-## Python Scripts
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-
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-### LFP_functions.py
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-This script contains several functions used in the notebooks (LFP data alignment, Energy Normalization, CSD estimation, etc.)
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-
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+# Code for Task Engagement Prediction from CSD profiles
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+
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+The following files contain the code used for CSD estimation from the LFPs from Allen Brain Observatory and the task engagement prediction using Linear Discriminant Analysis.
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+
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+### LFP/Stim_to_LFP.ipynb
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+This notebook contains the first steps for Allen data obtention. It saves the desired sessions and the LFPs, and aligns them to the novel stimuli presentations.
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+### LFP/LFP_functions.py
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+This script contains several functions used in the notebooks (LFP data alignment, Energy Normalization, CSD estimation, etc.)
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+### LFP/get_cortical_layers.ipynb
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+This notebook upgrades the channel dataframes from the previous notebook by adding the labels on Cortical Layers using the Common Coordinates Framework from Allen Brain Map.
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+
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+### CSD/get_CSD.ipynb
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+This notebook computes the Current Source Densities for all the LFP data
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+### CSD/CSD_Analysis.ipynb
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+This notebook performs the data discretization and prepares it for task engagement prediction with Linear Discriminant Analysis.
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+
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+### PowerSpectrum/get_power_spectra.ipynb
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+The same as get_CSD.ipynb but for the obtention of Power Spectra
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+### PowerSpectrum/Spectral_Analysis.ipynb
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+The same as get_CSD.ipynb but from Power Spectra
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