From e47b654153c9d26724fffcf274f37a517e578d82 Mon Sep 17 00:00:00 2001
From: didihou <didi.hou@rwth-aachen.de>
Date: Thu, 14 Sep 2023 03:44:05 +0200
Subject: [PATCH] /
---
figures/Schmidt2018_dyn/plotstyle.rc | 3 +--
multiarea_model/.ipynb_checkpoints/analysis-checkpoint.py | 8 +++++---
multiarea_model/analysis.py | 7 +++++--
3 files changed, 11 insertions(+), 7 deletions(-)
diff --git a/figures/Schmidt2018_dyn/plotstyle.rc b/figures/Schmidt2018_dyn/plotstyle.rc
index 73563a3..ded0ecf 100644
--- a/figures/Schmidt2018_dyn/plotstyle.rc
+++ b/figures/Schmidt2018_dyn/plotstyle.rc
@@ -50,5 +50,4 @@ ps.useafm : False # use of afm fonts, results in small files
ps.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
# set different default color cycle
-# axes.color_cycle : 4c72b0, 55a868, c44e52, 8172b2, ccb974, 64b5cd
-axes.prop_cycle: cycler('color', ['4c72b0', '55a868', 'c44e52', '8172b2', 'ccb974', '64b5cd'])
\ No newline at end of file
+axes.color_cycle : 4c72b0, 55a868, c44e52, 8172b2, ccb974, 64b5cd
\ No newline at end of file
diff --git a/multiarea_model/.ipynb_checkpoints/analysis-checkpoint.py b/multiarea_model/.ipynb_checkpoints/analysis-checkpoint.py
index 5102f3c..bce048f 100644
--- a/multiarea_model/.ipynb_checkpoints/analysis-checkpoint.py
+++ b/multiarea_model/.ipynb_checkpoints/analysis-checkpoint.py
@@ -443,7 +443,8 @@ class Analysis:
params['resolution'],
kernel=params['kernel'])
else:
- time_series = np.nan*np.ones(int(params['t_max'] - params['t_min']))
+ time_series = np.nan*np.ones(params['t_max'] - params['t_min'])
+ # time_series = np.nan*np.ones(int(params['t_max'] - params['t_min']))
d_pops[area][pop] = time_series
total_spikes = ah.area_spike_train(self.spike_data[area])
@@ -898,7 +899,8 @@ class Analysis:
for i, area in enumerate(area_list):
print(i, area)
- for j, pop in enumerate(self.network.structure['V1']):
+ for j, pop in enumerate(self.network.structure_reversed['V1']):
+ # for j, pop in enumerate(self.network.structure['V1']):
if pop in self.network.structure[area]:
rate = self.pop_rates[area][pop][0]
if rate == 0.0:
@@ -931,6 +933,7 @@ class Analysis:
ax.set_xticks(x_index)
ax.set_xticklabels(x_ticks)
ax.set_yticks(y_index)
+ ax.set_yticklabels(self.network.structure_reversed['V1'])
ax.set_ylabel('Population', size=18)
ax.set_xlabel('Area index', size=18)
t = FixedLocator([0.01, 0.1, 1., 10., 100.])
@@ -951,7 +954,6 @@ class Analysis:
Saves all post-processed data to files.
"""
members = inspect.getmembers(self)
- print(members)
save_list_json = ['structure', 'pop_rates', 'synchrony',
'pop_cv_isi', 'pop_LvR',
'indegree_data', 'indegree_areas_data',
diff --git a/multiarea_model/analysis.py b/multiarea_model/analysis.py
index 9c1fd31..bce048f 100644
--- a/multiarea_model/analysis.py
+++ b/multiarea_model/analysis.py
@@ -443,7 +443,8 @@ class Analysis:
params['resolution'],
kernel=params['kernel'])
else:
- time_series = np.nan*np.ones(int(params['t_max'] - params['t_min']))
+ time_series = np.nan*np.ones(params['t_max'] - params['t_min'])
+ # time_series = np.nan*np.ones(int(params['t_max'] - params['t_min']))
d_pops[area][pop] = time_series
total_spikes = ah.area_spike_train(self.spike_data[area])
@@ -898,7 +899,8 @@ class Analysis:
for i, area in enumerate(area_list):
print(i, area)
- for j, pop in enumerate(self.network.structure['V1']):
+ for j, pop in enumerate(self.network.structure_reversed['V1']):
+ # for j, pop in enumerate(self.network.structure['V1']):
if pop in self.network.structure[area]:
rate = self.pop_rates[area][pop][0]
if rate == 0.0:
@@ -931,6 +933,7 @@ class Analysis:
ax.set_xticks(x_index)
ax.set_xticklabels(x_ticks)
ax.set_yticks(y_index)
+ ax.set_yticklabels(self.network.structure_reversed['V1'])
ax.set_ylabel('Population', size=18)
ax.set_xlabel('Area index', size=18)
t = FixedLocator([0.01, 0.1, 1., 10., 100.])
--
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