Merge pull request #50 from didi-hou/Code_improvement

Code improvement
INM-6 · Nov 16, 2023 · 24ddc06 · 24ddc06
2 parents 93d6eba + 2495b8a
commit 24ddc06
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Showing 3 changed files with 55 additions and 52 deletions.
diff --git a/...MAM2EBRAINS/M2E_visualize_firing_rates.py → .../MAM2EBRAINS/M2E_visualize_firing_rate.py b/...MAM2EBRAINS/M2E_visualize_firing_rates.py → .../MAM2EBRAINS/M2E_visualize_firing_rate.py
@@ -1,7 +1,7 @@
 import numpy as np
 import matplotlib.pyplot as pl
 
-def plot_instan_mean_firing_rate(M):
+def plot_firing_rate(M):
     # load spike data and calculate instantaneous and mean firing rates
     data = np.loadtxt(M.simulation.data_dir + '/recordings/' + M.simulation.label + "-spikes-1-0.dat", skiprows=3)
     tsteps, spikecount = np.unique(data[:,1], return_counts=True)

diff --git a/figures/MAM2EBRAINS/M2E_visualize_resting_state.py b/figures/MAM2EBRAINS/M2E_visualize_resting_state.py
@@ -333,9 +333,11 @@ def plot_resting_state(M, data_path, raster_areas=['V1', 'V2', 'FEF']):
     ax.set_ylim((0., len(M.structure['V1']) + .5))
 
     x_max = 220.
+    # x_max = 100.
     ax.set_xlim((-1., x_max))
     ax.set_xlabel(r'Rate (spikes/s)', labelpad=-0.1)
     ax.set_xticks([0., 50., 100.])
+    # ax.set_xticks([0., 25., 50., 75., 100.])
 
     # print("plotting Synchrony")
 

diff --git a/multi-area-model.ipynb b/multi-area-model.ipynb