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b5025e1b · Didi Hou · Administrator · 6f1052ec · b5025e1b · b5025e1b
Commit b5025e1b authored 1 year ago by Didi Hou Committed by Administrator 1 year ago
--- a/.ipynb_checkpoints/multi-area-model-checkpoint.ipynb
+++ b/.ipynb_checkpoints/multi-area-model-checkpoint.ipynb
--- a/figures/.ipynb_checkpoints/MAM2EBRAINS-checkpoint.py
+++ b/figures/.ipynb_checkpoints/MAM2EBRAINS-checkpoint.py
@@ -18,7 +18,7 @@ ecolor = myblue

 # Instantaneous and mean firing rate across all populations
 def plot_instan_mean_firing_rate(tsteps, rate, sim_params):
-    ax = pl.subplots()
+    ax = pl.subplot()
    ax.plot(tsteps, rate)
    ax.plot(tsteps, np.average(rate)*np.ones(len(tsteps)), label='mean')
    ax.set_title('Instantaneous and mean firing rate across all populations')

--- a/figures/MAM2EBRAINS.py
+++ b/figures/MAM2EBRAINS.py
@@ -18,7 +18,7 @@ ecolor = myblue

 # Instantaneous and mean firing rate across all populations
 def plot_instan_mean_firing_rate(tsteps, rate, sim_params):
-    ax = pl.subplots()
+    ax = pl.subplot()
    ax.plot(tsteps, rate)
    ax.plot(tsteps, np.average(rate)*np.ones(len(tsteps)), label='mean')
    ax.set_title('Instantaneous and mean firing rate across all populations')

--- a/multi-area-model.ipynb
+++ b/multi-area-model.ipynb
--- a/multiarea_model/data_multiarea/viscortex_processed_data.json
+++ b/multiarea_model/data_multiarea/viscortex_processed_data.json