пре 3 година · 76fce57445
--- a/figures/spatial_network_perlin_map/A_i_colormap.svg
+++ b/figures/spatial_network_perlin_map/A_i_colormap.svg
--- a/figures/spatial_network_perlin_map/A_i_exemplary_input_map.pdf
+++ b/figures/spatial_network_perlin_map/A_i_exemplary_input_map.pdf
--- a/figures/spatial_network_perlin_map/B_i_axonal_clouds.pdf
+++ b/figures/spatial_network_perlin_map/B_i_axonal_clouds.pdf
--- a/figures/spatial_network_perlin_map/C_firing_rate_map_excitatory.pdf
+++ b/figures/spatial_network_perlin_map/C_firing_rate_map_excitatory.pdf
--- a/figures/spatial_network_perlin_map/C_firing_rate_map_inhibitory.pdf
+++ b/figures/spatial_network_perlin_map/C_firing_rate_map_inhibitory.pdf
--- a/figures/spatial_network_perlin_map/D_polar_plot_excitatory.pdf
+++ b/figures/spatial_network_perlin_map/D_polar_plot_excitatory.pdf
--- a/figures/spatial_network_perlin_map/D_polar_plot_inhibitory.pdf
+++ b/figures/spatial_network_perlin_map/D_polar_plot_inhibitory.pdf
--- a/figures/spatial_network_perlin_map/F_hdi_over_corr_len_scaled.pdf
+++ b/figures/spatial_network_perlin_map/F_hdi_over_corr_len_scaled.pdf
--- a/figures/spatial_network_perlin_map/F_hdi_over_grid_scale.pdf
+++ b/figures/spatial_network_perlin_map/F_hdi_over_grid_scale.pdf
--- a/scripts/spatial_network/perlin_map/final_analysis_and_plotting_perlin_map.py
+++ b/scripts/spatial_network/perlin_map/final_analysis_and_plotting_perlin_map.py
@@ -833,7 +833,7 @@ def plot_hdi_histogram_combined_and_overlayed(traj, plot_run_names, ex_polar_plo
 
																     # plt.annotate('probability density', (-0.2,1.5), xycoords='axes fraction', rotation=90, fontsize=18)
															
 
																     if save_figs:
															
 
																-        plt.savefig(FIGURE_SAVE_PATH + 'E_hdi_histogram_combined_and_overlayed_cutoff_{}um' + FIGURE_SAVE_FORMAT.format(cut_off_dist))
															
 
																+        plt.savefig(FIGURE_SAVE_PATH + 'E_hdi_histogram_combined_and_overlayed' + FIGURE_SAVE_FORMAT.format(cut_off_dist))
															
 
																         plt.close(fig)
															
 
																     return hdi_mean_dict