From 201bb6dd87dd8d389378c44e6ce5d995b55f6297 Mon Sep 17 00:00:00 2001
From: didihou <didi.hou@rwth-aachen.de>
Date: Thu, 14 Sep 2023 13:53:03 +0200
Subject: [PATCH] /

---
 .../multi-area-model-checkpoint.ipynb         | 180 +++++++++---------
 .../M2E_VISUALIZATION-checkpoint.py           |   0
 ...lize_interareal_connectivity-checkpoint.py |  18 +-
 figures/MAM2EBRAINS/M2E_VISUALIZATION.py      |   0
 .../M2E_visualize_interareal_connectivity.py  |  18 +-
 multi-area-model.ipynb                        | 101 ++++++++--
 .../viscortex_processed_data.json             |   2 +-
 7 files changed, 180 insertions(+), 139 deletions(-)
 delete mode 100644 figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_VISUALIZATION-checkpoint.py
 delete mode 100644 figures/MAM2EBRAINS/M2E_VISUALIZATION.py

diff --git a/.ipynb_checkpoints/multi-area-model-checkpoint.ipynb b/.ipynb_checkpoints/multi-area-model-checkpoint.ipynb
index 91e5874..7f2729e 100644
--- a/.ipynb_checkpoints/multi-area-model-checkpoint.ipynb
+++ b/.ipynb_checkpoints/multi-area-model-checkpoint.ipynb
@@ -375,7 +375,7 @@
     }
    ],
    "source": [
-    "%%capture captured\n",
+    "# %%capture captured\n",
     "M = MultiAreaModel(network_params, \n",
     "                   simulation=True,\n",
     "                   sim_spec=sim_params,\n",
@@ -480,7 +480,46 @@
      "output_type": "stream",
      "text": [
       "Initializing network from dictionary.\n",
-      "RAND_DATA_LABEL 3966\n"
+      "RAND_DATA_LABEL 4502\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/srv/main-spack-instance-2305/spack/opt/spack/linux-ubuntu20.04-x86_64/gcc-10.3.0/py-numpy-1.22.4-2oqgru7t5upcffz4fffhepvquuy3hdsh/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3474: RuntimeWarning:Mean of empty slice.\n",
+      "/srv/main-spack-instance-2305/spack/opt/spack/linux-ubuntu20.04-x86_64/gcc-10.3.0/py-numpy-1.22.4-2oqgru7t5upcffz4fffhepvquuy3hdsh/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning:invalid value encountered in double_scalars\n",
+      "Error in library(\"aod\") : there is no package called ‘aod’\n",
+      "Execution halted\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "No R installation or IndexError, taking hard-coded SLN fit parameters.\n",
+      "\n",
+      "\n",
+      "========================================\n",
+      "Customized parameters\n",
+      "--------------------\n",
+      "{}\n",
+      "========================================\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/srv/main-spack-instance-2305/spack/var/spack/environments/ebrains-23-06/.spack-env/view/lib/python3.8/site-packages/dicthash/dicthash.py:47: UserWarning:Float too small for safe conversion tointeger. Rounding down to zero.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Initializing network from dictionary.\n",
+      "RAND_DATA_LABEL 9258\n"
      ]
     },
     {
@@ -516,9 +555,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 1080x476.769 with 4 Axes>"
+       "<Figure size 1080x317.846 with 5 Axes>"
       ]
      },
      "metadata": {
@@ -528,7 +567,6 @@
     }
    ],
    "source": [
-    "# %%capture captured\n",
     "from M2E_visualize_interareal_connectivity import visualize_interareal_connectivity\n",
     "visualize_interareal_connectivity(M)"
    ]
@@ -563,7 +601,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "15778e9c",
    "metadata": {},
    "outputs": [
@@ -571,89 +609,75 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Prepared simulation in 0.00 seconds.\n",
+      "Prepared simulation in 0.02 seconds.\n",
       "\n",
-      "Sep 14 13:33:20 SimulationManager::set_status [Info]: \n",
+      "Sep 14 13:51:28 SimulationManager::set_status [Info]: \n",
       "    Temporal resolution changed from 0.1 to 0.1 ms.\n",
       "Rank 0: created area V1 with 0 local nodes\n",
-      "Memory after V1 : 1515.46 MB\n",
+      "Memory after V1 : 1605.96 MB\n",
       "Rank 0: created area V2 with 0 local nodes\n",
-      "Memory after V2 : 1542.18 MB\n",
+      "Memory after V2 : 1632.67 MB\n",
       "Rank 0: created area VP with 0 local nodes\n",
-      "Memory after VP : 1571.23 MB\n",
+      "Memory after VP : 1661.84 MB\n",
       "Rank 0: created area V3 with 0 local nodes\n",
-      "Memory after V3 : 1599.63 MB\n",
+      "Memory after V3 : 1689.66 MB\n",
       "Rank 0: created area V3A with 0 local nodes\n",
-      "Memory after V3A : 1619.41 MB\n",
+      "Memory after V3A : 1708.44 MB\n",
       "Rank 0: created area MT with 0 local nodes\n",
-      "Memory after MT : 1645.06 MB\n",
+      "Memory after MT : 1733.94 MB\n",
       "Rank 0: created area V4t with 0 local nodes\n",
-      "Memory after V4t : 1669.95 MB\n",
+      "Memory after V4t : 1758.86 MB\n",
       "Rank 0: created area V4 with 0 local nodes\n",
-      "Memory after V4 : 1696.96 MB\n",
+      "Memory after V4 : 1785.88 MB\n",
       "Rank 0: created area VOT with 0 local nodes\n",
-      "Memory after VOT : 1721.51 MB\n",
+      "Memory after VOT : 1811.19 MB\n",
       "Rank 0: created area MSTd with 0 local nodes\n",
-      "Memory after MSTd : 1741.65 MB\n",
+      "Memory after MSTd : 1832.64 MB\n",
       "Rank 0: created area PIP with 0 local nodes\n",
-      "Memory after PIP : 1762.99 MB\n",
+      "Memory after PIP : 1853.98 MB\n",
       "Rank 0: created area PO with 0 local nodes\n",
-      "Memory after PO : 1784.48 MB\n",
+      "Memory after PO : 1875.47 MB\n",
       "Rank 0: created area DP with 0 local nodes\n",
-      "Memory after DP : 1804.71 MB\n",
+      "Memory after DP : 1895.73 MB\n",
       "Rank 0: created area MIP with 0 local nodes\n",
-      "Memory after MIP : 1826.27 MB\n",
+      "Memory after MIP : 1917.22 MB\n",
       "Rank 0: created area MDP with 0 local nodes\n",
-      "Memory after MDP : 1847.73 MB\n",
+      "Memory after MDP : 1938.68 MB\n",
       "Rank 0: created area VIP with 0 local nodes\n",
-      "Memory after VIP : 1869.55 MB\n",
+      "Memory after VIP : 1960.65 MB\n",
       "Rank 0: created area LIP with 0 local nodes\n",
-      "Memory after LIP : 1893.60 MB\n",
+      "Memory after LIP : 1984.55 MB\n",
       "Rank 0: created area PITv with 0 local nodes\n",
-      "Memory after PITv : 1918.89 MB\n",
+      "Memory after PITv : 2009.88 MB\n",
       "Rank 0: created area PITd with 0 local nodes\n",
-      "Memory after PITd : 1944.12 MB\n",
+      "Memory after PITd : 2035.11 MB\n",
       "Rank 0: created area MSTl with 0 local nodes\n",
-      "Memory after MSTl : 1965.46 MB\n",
+      "Memory after MSTl : 2056.48 MB\n",
       "Rank 0: created area CITv with 0 local nodes\n",
-      "Memory after CITv : 1984.64 MB\n",
+      "Memory after CITv : 2075.65 MB\n",
       "Rank 0: created area CITd with 0 local nodes\n",
-      "Memory after CITd : 2004.00 MB\n",
+      "Memory after CITd : 2095.06 MB\n",
       "Rank 0: created area FEF with 0 local nodes\n",
-      "Memory after FEF : 2025.49 MB\n",
+      "Memory after FEF : 2116.40 MB\n",
       "Rank 0: created area TF with 0 local nodes\n",
-      "Memory after TF : 2041.12 MB\n",
+      "Memory after TF : 2132.11 MB\n",
       "Rank 0: created area AITv with 0 local nodes\n",
-      "Memory after AITv : 2063.71 MB\n",
+      "Memory after AITv : 2154.70 MB\n",
       "Rank 0: created area FST with 0 local nodes\n",
-      "Memory after FST : 2080.43 MB\n",
+      "Memory after FST : 2171.38 MB\n",
       "Rank 0: created area 7a with 0 local nodes\n",
-      "Memory after 7a : 2101.60 MB\n",
+      "Memory after 7a : 2192.70 MB\n",
       "Rank 0: created area STPp with 0 local nodes\n",
-      "Memory after STPp : 2120.31 MB\n",
+      "Memory after STPp : 2211.29 MB\n",
       "Rank 0: created area STPa with 0 local nodes\n",
-      "Memory after STPa : 2139.55 MB\n",
+      "Memory after STPa : 2230.43 MB\n",
       "Rank 0: created area 46 with 0 local nodes\n",
-      "Memory after 46 : 2154.92 MB\n",
+      "Memory after 46 : 2245.91 MB\n",
       "Rank 0: created area AITd with 0 local nodes\n",
-      "Memory after AITd : 2177.21 MB\n",
+      "Memory after AITd : 2268.49 MB\n",
       "Rank 0: created area TH with 0 local nodes\n",
-      "Memory after TH : 2189.67 MB\n",
-      "Created areas and internal connections in 2.27 seconds.\n",
-      "Created cortico-cortical connections in 22.61 seconds.\n",
-      "Simulated network in 85.16 seconds.\n",
-      "\n",
-      "Sep 14 13:33:45 NodeManager::prepare_nodes [Info]: \n",
-      "    Preparing 20780 nodes for simulation.\n",
-      "\n",
-      "Sep 14 13:33:45 SimulationManager::start_updating_ [Info]: \n",
-      "    Number of local nodes: 20780\n",
-      "    Simulation time (ms): 2000\n",
-      "    Number of OpenMP threads: 1\n",
-      "    Number of MPI processes: 1\n",
-      "\n",
-      "Sep 14 13:35:10 SimulationManager::run [Info]: \n",
-      "    Simulation finished.\n"
+      "Memory after TH : 2281.19 MB\n",
+      "Created areas and internal connections in 2.25 seconds.\n"
      ]
     }
    ],
@@ -683,18 +707,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "c1d7aa61-e85a-4e6a-9e01-e018413a572b",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "loading spikes\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Instantiate an analysis class and load spike data\n",
     "A = Analysis(network=M, \n",
@@ -715,23 +731,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "bea30fc8",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x476.769 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from M2E_visualize_instantaneous_and_mean_firing_rates import plot_instan_mean_firing_rate\n",
     "plot_instan_mean_firing_rate(M)"
@@ -758,25 +761,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "ae19bcc3",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "ename": "ImportError",
-     "evalue": "cannot import name 'original_data_path' from 'helpers' (/opt/app-root/src/MAM2EBRAINS/./figures/Schmidt2018/helpers.py)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn [16], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mM2E_visualize_resting_state\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_resting_state\n\u001b[1;32m      2\u001b[0m plot_resting_state(M, A, data_path)\n",
-      "File \u001b[0;32m~/MAM2EBRAINS/./figures/MAM2EBRAINS/M2E_visualize_resting_state.py:8\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m\n\u001b[1;32m      6\u001b[0m sys\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m./figures/Schmidt2018_dyn\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mhelpers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m original_data_path, population_labels\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmultiarea_model\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m MultiAreaModel\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mplotcolors\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m myred, myblue\n",
-      "\u001b[0;31mImportError\u001b[0m: cannot import name 'original_data_path' from 'helpers' (/opt/app-root/src/MAM2EBRAINS/./figures/Schmidt2018/helpers.py)"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from M2E_visualize_resting_state import plot_resting_state\n",
     "plot_resting_state(M, A, data_path)"
diff --git a/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_VISUALIZATION-checkpoint.py b/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_VISUALIZATION-checkpoint.py
deleted file mode 100644
index e69de29..0000000
diff --git a/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_interareal_connectivity-checkpoint.py b/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_interareal_connectivity-checkpoint.py
index 196fe25..d022e1e 100644
--- a/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_interareal_connectivity-checkpoint.py
+++ b/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_interareal_connectivity-checkpoint.py
@@ -122,13 +122,11 @@ def visualize_interareal_connectivity(M):
 
     ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_xticklabels(area_list, rotation=90, size=6.)
-    ax.set_xticklabels(area_list, rotation=90, size=12.)
+    ax.set_xticklabels(area_list, rotation=90, size=6.)
 
     # ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_yticklabels(area_list[::-1], size=6.)
-    ax.set_yticklabels(area_list[::-1], size=12.)
+    ax.set_yticklabels(area_list[::-1], size=6.)
 
     ax.set_ylabel('Target area')
     ax.set_xlabel('Source area')
@@ -197,13 +195,11 @@ def visualize_interareal_connectivity(M):
 
     # ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_xticklabels(area_list, rotation=90, size=6.)
-    ax.set_xticklabels(area_list, rotation=90, size=12.)
+    ax.set_xticklabels(area_list, rotation=90, size=6.)
 
     # ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_yticklabels(area_list[::-1], size=6.)
-    ax.set_yticklabels(area_list[::-1], size=12.)
+    ax.set_yticklabels(area_list[::-1], size=6.)
 
     ax.set_ylabel('Target area')
     ax.set_xlabel('Source area')
@@ -326,13 +322,11 @@ def visualize_interareal_connectivity(M):
 
     # ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_xticklabels(area_list, rotation=90, size=6.)
-    ax.set_xticklabels(area_list, rotation=90, size=12.)
+    ax.set_xticklabels(area_list, rotation=90, size=6.)
 
     # ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_yticklabels(area_list[::-1], size=6.)
-    ax.set_yticklabels(area_list[::-1], size=12.)
+    ax.set_yticklabels(area_list[::-1], size=6.)
 
     ax.set_ylabel('Target area')
     ax.set_xlabel('Source area')
diff --git a/figures/MAM2EBRAINS/M2E_VISUALIZATION.py b/figures/MAM2EBRAINS/M2E_VISUALIZATION.py
deleted file mode 100644
index e69de29..0000000
diff --git a/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py b/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py
index 196fe25..d022e1e 100644
--- a/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py
+++ b/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py
@@ -122,13 +122,11 @@ def visualize_interareal_connectivity(M):
 
     ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_xticklabels(area_list, rotation=90, size=6.)
-    ax.set_xticklabels(area_list, rotation=90, size=12.)
+    ax.set_xticklabels(area_list, rotation=90, size=6.)
 
     # ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_yticklabels(area_list[::-1], size=6.)
-    ax.set_yticklabels(area_list[::-1], size=12.)
+    ax.set_yticklabels(area_list[::-1], size=6.)
 
     ax.set_ylabel('Target area')
     ax.set_xlabel('Source area')
@@ -197,13 +195,11 @@ def visualize_interareal_connectivity(M):
 
     # ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_xticklabels(area_list, rotation=90, size=6.)
-    ax.set_xticklabels(area_list, rotation=90, size=12.)
+    ax.set_xticklabels(area_list, rotation=90, size=6.)
 
     # ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_yticklabels(area_list[::-1], size=6.)
-    ax.set_yticklabels(area_list[::-1], size=12.)
+    ax.set_yticklabels(area_list[::-1], size=6.)
 
     ax.set_ylabel('Target area')
     ax.set_xlabel('Source area')
@@ -326,13 +322,11 @@ def visualize_interareal_connectivity(M):
 
     # ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_xticklabels(area_list, rotation=90, size=6.)
-    ax.set_xticklabels(area_list, rotation=90, size=12.)
+    ax.set_xticklabels(area_list, rotation=90, size=6.)
 
     # ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
     ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list), 1)])
-    # ax.set_yticklabels(area_list[::-1], size=6.)
-    ax.set_yticklabels(area_list[::-1], size=12.)
+    ax.set_yticklabels(area_list[::-1], size=6.)
 
     ax.set_ylabel('Target area')
     ax.set_xlabel('Source area')
diff --git a/multi-area-model.ipynb b/multi-area-model.ipynb
index ddb32cb..7f2729e 100644
--- a/multi-area-model.ipynb
+++ b/multi-area-model.ipynb
@@ -375,7 +375,7 @@
     }
    ],
    "source": [
-    "%%capture captured\n",
+    "# %%capture captured\n",
     "M = MultiAreaModel(network_params, \n",
     "                   simulation=True,\n",
     "                   sim_spec=sim_params,\n",
@@ -480,7 +480,7 @@
      "output_type": "stream",
      "text": [
       "Initializing network from dictionary.\n",
-      "RAND_DATA_LABEL 4230\n"
+      "RAND_DATA_LABEL 4502\n"
      ]
     },
     {
@@ -519,7 +519,7 @@
      "output_type": "stream",
      "text": [
       "Initializing network from dictionary.\n",
-      "RAND_DATA_LABEL 5307\n"
+      "RAND_DATA_LABEL 9258\n"
      ]
     },
     {
@@ -553,23 +553,11 @@
       "/srv/main-spack-instance-2305/spack/var/spack/environments/ebrains-23-06/.spack-env/view/lib/python3.8/site-packages/dicthash/dicthash.py:47: UserWarning:Float too small for safe conversion tointeger. Rounding down to zero.\n"
      ]
     },
-    {
-     "ename": "FileNotFoundError",
-     "evalue": "[Errno 2] No such file or directory: '../../multiarea_model/data_multiarea/viscortex_processed_data.json'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn [12], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# %%capture captured\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mM2E_visualize_interareal_connectivity\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m visualize_interareal_connectivity\n\u001b[0;32m----> 3\u001b[0m visualize_interareal_connectivity(M)\n",
-      "File \u001b[0;32m~/MAM2EBRAINS/./figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py:83\u001b[0m, in \u001b[0;36mvisualize_interareal_connectivity\u001b[0;34m(M)\u001b[0m\n\u001b[1;32m     80\u001b[0m \u001b[38;5;66;03m# M = MultiAreaModel({})\u001b[39;00m\n\u001b[1;32m     81\u001b[0m M_full_scale \u001b[38;5;241m=\u001b[39m MultiAreaModel({})\n\u001b[0;32m---> 83\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdatapath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mviscortex_processed_data.json\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[1;32m     84\u001b[0m     proc \u001b[38;5;241m=\u001b[39m json\u001b[38;5;241m.\u001b[39mload(f)\n\u001b[1;32m     85\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(datapath, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mviscortex_raw_data.json\u001b[39m\u001b[38;5;124m'\u001b[39m), \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n",
-      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../../multiarea_model/data_multiarea/viscortex_processed_data.json'"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 1080x317.846 with 3 Axes>"
+       "<Figure size 1080x317.846 with 5 Axes>"
       ]
      },
      "metadata": {
@@ -579,7 +567,6 @@
     }
    ],
    "source": [
-    "# %%capture captured\n",
     "from M2E_visualize_interareal_connectivity import visualize_interareal_connectivity\n",
     "visualize_interareal_connectivity(M)"
    ]
@@ -617,7 +604,83 @@
    "execution_count": null,
    "id": "15778e9c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Prepared simulation in 0.02 seconds.\n",
+      "\n",
+      "Sep 14 13:51:28 SimulationManager::set_status [Info]: \n",
+      "    Temporal resolution changed from 0.1 to 0.1 ms.\n",
+      "Rank 0: created area V1 with 0 local nodes\n",
+      "Memory after V1 : 1605.96 MB\n",
+      "Rank 0: created area V2 with 0 local nodes\n",
+      "Memory after V2 : 1632.67 MB\n",
+      "Rank 0: created area VP with 0 local nodes\n",
+      "Memory after VP : 1661.84 MB\n",
+      "Rank 0: created area V3 with 0 local nodes\n",
+      "Memory after V3 : 1689.66 MB\n",
+      "Rank 0: created area V3A with 0 local nodes\n",
+      "Memory after V3A : 1708.44 MB\n",
+      "Rank 0: created area MT with 0 local nodes\n",
+      "Memory after MT : 1733.94 MB\n",
+      "Rank 0: created area V4t with 0 local nodes\n",
+      "Memory after V4t : 1758.86 MB\n",
+      "Rank 0: created area V4 with 0 local nodes\n",
+      "Memory after V4 : 1785.88 MB\n",
+      "Rank 0: created area VOT with 0 local nodes\n",
+      "Memory after VOT : 1811.19 MB\n",
+      "Rank 0: created area MSTd with 0 local nodes\n",
+      "Memory after MSTd : 1832.64 MB\n",
+      "Rank 0: created area PIP with 0 local nodes\n",
+      "Memory after PIP : 1853.98 MB\n",
+      "Rank 0: created area PO with 0 local nodes\n",
+      "Memory after PO : 1875.47 MB\n",
+      "Rank 0: created area DP with 0 local nodes\n",
+      "Memory after DP : 1895.73 MB\n",
+      "Rank 0: created area MIP with 0 local nodes\n",
+      "Memory after MIP : 1917.22 MB\n",
+      "Rank 0: created area MDP with 0 local nodes\n",
+      "Memory after MDP : 1938.68 MB\n",
+      "Rank 0: created area VIP with 0 local nodes\n",
+      "Memory after VIP : 1960.65 MB\n",
+      "Rank 0: created area LIP with 0 local nodes\n",
+      "Memory after LIP : 1984.55 MB\n",
+      "Rank 0: created area PITv with 0 local nodes\n",
+      "Memory after PITv : 2009.88 MB\n",
+      "Rank 0: created area PITd with 0 local nodes\n",
+      "Memory after PITd : 2035.11 MB\n",
+      "Rank 0: created area MSTl with 0 local nodes\n",
+      "Memory after MSTl : 2056.48 MB\n",
+      "Rank 0: created area CITv with 0 local nodes\n",
+      "Memory after CITv : 2075.65 MB\n",
+      "Rank 0: created area CITd with 0 local nodes\n",
+      "Memory after CITd : 2095.06 MB\n",
+      "Rank 0: created area FEF with 0 local nodes\n",
+      "Memory after FEF : 2116.40 MB\n",
+      "Rank 0: created area TF with 0 local nodes\n",
+      "Memory after TF : 2132.11 MB\n",
+      "Rank 0: created area AITv with 0 local nodes\n",
+      "Memory after AITv : 2154.70 MB\n",
+      "Rank 0: created area FST with 0 local nodes\n",
+      "Memory after FST : 2171.38 MB\n",
+      "Rank 0: created area 7a with 0 local nodes\n",
+      "Memory after 7a : 2192.70 MB\n",
+      "Rank 0: created area STPp with 0 local nodes\n",
+      "Memory after STPp : 2211.29 MB\n",
+      "Rank 0: created area STPa with 0 local nodes\n",
+      "Memory after STPa : 2230.43 MB\n",
+      "Rank 0: created area 46 with 0 local nodes\n",
+      "Memory after 46 : 2245.91 MB\n",
+      "Rank 0: created area AITd with 0 local nodes\n",
+      "Memory after AITd : 2268.49 MB\n",
+      "Rank 0: created area TH with 0 local nodes\n",
+      "Memory after TH : 2281.19 MB\n",
+      "Created areas and internal connections in 2.25 seconds.\n"
+     ]
+    }
+   ],
    "source": [
     "# %%capture captured\n",
     "# run the simulation, depending on the model parameter and downscale ratio, the running time varies largely.\n",
diff --git a/multiarea_model/data_multiarea/viscortex_processed_data.json b/multiarea_model/data_multiarea/viscortex_processed_data.json
index 75c6ed0..29b323c 100644
--- a/multiarea_model/data_multiarea/viscortex_processed_data.json
+++ b/multiarea_model/data_multiarea/viscortex_processed_data.json
@@ -1 +1 @@
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\ No newline at end of file
-- 
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