From 295edf8fadc455f2ce3f3a7dcf955a4d945cc2dc Mon Sep 17 00:00:00 2001
From: shimoura <renanshimoura@gmail.com>
Date: Thu, 20 Mar 2025 14:15:36 +0100
Subject: [PATCH] Fix typos in M2E interareal connectivity visualization
function
---
.../MAM2EBRAINS/M2E_visualize_interareal_connectivity.py | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py b/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py
index bb111c2..28740e0 100644
--- a/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py
+++ b/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py
@@ -12,7 +12,7 @@ from multiarea_model import MultiAreaModel
def visualize_interareal_connectivity(M):
"""
- Visualize inter-area connectivity for a comparison of the full-scale model and the down-scaled model
+ Visualize inter-area connectivity for a comparison of the full-scale model and the downscaled model
Parameters:
- M ((MultiAreaModel)): Object containing simulation data.
@@ -35,7 +35,7 @@ def visualize_interareal_connectivity(M):
pl.rcParams['figure.figsize'] = (width, height)
fig = pl.figure()
- fig.suptitle('Area-level connectivity of the full-scale and down-scaled MAM expressed as relative indegrees for each target area', fontsize=15, x=0.5, y=1.05)
+ fig.suptitle('Area-level connectivity of the full-scale and downscaled MAM expressed as relative indegrees for each target area', fontsize=15, x=0.5, y=1.05)
axes = {}
gs1 = gridspec.GridSpec(1, 2)
@@ -47,7 +47,7 @@ def visualize_interareal_connectivity(M):
pos2 = axes['D'].get_position()
labels = ['B', 'D']
- labels_display = ['Full-scale model', 'Down-scaled model']
+ labels_display = ['Full-scale model', 'Downscaled model']
for i in range(len(labels)):
label = labels[i]
label_display = labels_display[i]
@@ -100,7 +100,7 @@ def visualize_interareal_connectivity(M):
cbar.set_alpha(0.)
"""
- Panel D: Interareal connectivity of down-scaling multi-area model
+ Panel D: Interareal connectivity of downscaling multi-area model
"""
conn_matrix_down_scale = np.zeros((32, 32))
for i, area1 in enumerate(area_list[::-1]):
--
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