Literatur Dokument

references.bib

@@ -3988,6 +3988,9 @@ We collected weakly electric gymnotoid fish in the vicinity of Manaus, Amazonas,
   publisher={APS}
 }
 
+
+
+
 @article{Lisman1997,
   title={Bursts as a unit of neural information: making unreliable synapses reliable},
   author={Lisman, John E},

trialnr.py

@@ -2,6 +2,7 @@ import os
 
 import numpy as np
 import pandas as pd
+from IPython import embed
 from matplotlib import pyplot as plt
 from plotstyle import plot_style
 from threefish.core_plot_labels import title_find_cell_add
@@ -99,6 +100,9 @@ def trialnr(nffts=['whole'], powers=[1], contrasts=[0], noises_added=[''], D_ext
         trial_nrs_here = trial_nrs_ram_model()
         stacks = []
         perc95 = []
+        vars = []
+        cv_stims = []
+        fr_stims = []
         perc05 = []
         median = []
         stacks_wo_norm = []
@@ -139,6 +143,11 @@ def trialnr(nffts=['whole'], powers=[1], contrasts=[0], noises_added=[''], D_ext
                 if len(stack)> 0:
                     model_show, stack_plot, stack_plot_wo_norm = get_stack(cell, stack)
                     stacks.append(stack_plot)
+                    #em
+                    cv_stims.append(stack['cv_stim_mean'].iloc[0])
+                    fr_stims.append(stack['fr_stim_mean'].iloc[0])
+                    vars.append(stack['var_RAM'].iloc[0])
+
                     perc95.append(np.percentile(stack_plot,99.99))
                     perc05.append(np.percentile(stack_plot, 10))
                     median.append(np.percentile(stack_plot, 50))
@@ -148,6 +157,9 @@ def trialnr(nffts=['whole'], powers=[1], contrasts=[0], noises_added=[''], D_ext
                     median_wo_norm.append(np.percentile(stack_plot_wo_norm, 50))
 
                 else:
+                    vars.append(float('nan'))
+                    cv_stims.append(float('nan'))
+                    fr_stims.append(float('nan'))
                     stacks.append([])
                     perc95.append(float('nan'))
                     perc05.append(float('nan'))
@@ -158,6 +170,15 @@ def trialnr(nffts=['whole'], powers=[1], contrasts=[0], noises_added=[''], D_ext
                     perc05_wo_norm.append(float('nan'))
                     median_wo_norm.append(float('nan'))
 
+        #embed()
+        test = False
+        if test:
+            fig, ax = plt.subplots(1,3)
+            ax[0].plot(trial_nrs_here,cv_stims/trial_nrs_here)
+            ax[1].plot(trial_nrs_here, fr_stims / trial_nrs_here)
+            ax[2].plot(trial_nrs_here, vars / trial_nrs_here)
+            plt.show()
+        # vars, cv_stims, fr_stims
         fig, ax = plt.subplots(1,2)
         #ax.plot(trial_nrs_here, perc05, color = 'grey')
         ax[0].plot(trial_nrs_here, perc95, color = 'grey', clip_on = False, label = '99.99th percentile')