diff --git a/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_time_ave_pop_rates-checkpoint.py b/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_time_ave_pop_rates-checkpoint.py
index 4a923c3268079714339f83229a8473cba20ee835..f67741694d4e8bfa638de5657283434201cb6c89 100644
--- a/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_time_ave_pop_rates-checkpoint.py
+++ b/figures/MAM2EBRAINS/.ipynb_checkpoints/M2E_visualize_time_ave_pop_rates-checkpoint.py
@@ -77,8 +77,8 @@ def plot_time_averaged_population_rates(M, area_list=None, **keywords):
     ax.set_yticks(y_index)
     # ax.set_yticklabels(A.network.structure_reversed['V1'])
     ax.set_yticklabels(A.network.structure['V1'][::-1])
-    ax.set_ylabel('Population', size=18)
-    ax.set_xlabel('Area index', size=18)
+    ax.set_ylabel('Population', size=15)
+    ax.set_xlabel('Area index', size=15)
     t = FixedLocator([0.01, 0.1, 1., 10., 100.])
 
     plt.colorbar(im, ticks=t)
diff --git a/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py b/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py
index 0fee3585775a0770dd9156fc375cc80516401801..87ac2e6d75104003f471b7bf415e8052eddcbd29 100644
--- a/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py
+++ b/figures/MAM2EBRAINS/M2E_visualize_interareal_connectivity.py
@@ -207,8 +207,10 @@ def visualize_interareal_connectivity(M):
     # ax.set_yticklabels(area_list[::-1], size=6.)
     ax.set_yticklabels(area_list[::-1], size=10.)
 
-    ax.set_ylabel('Target area')
-    ax.set_xlabel('Source area')
+    # ax.set_ylabel('Target area')
+    # ax.set_xlabel('Source area')
+    ax.set_ylabel('Target area', fontsize=15)
+    ax.set_xlabel('Source area', fontsize=15)
     im = ax.pcolormesh(masked_matrix_full_scale, cmap=cmap,
                        edgecolors='None', norm=LogNorm(vmin=1e-6, vmax=1.))
 
diff --git a/figures/MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py b/figures/MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py
index 4a923c3268079714339f83229a8473cba20ee835..f67741694d4e8bfa638de5657283434201cb6c89 100644
--- a/figures/MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py
+++ b/figures/MAM2EBRAINS/M2E_visualize_time_ave_pop_rates.py
@@ -77,8 +77,8 @@ def plot_time_averaged_population_rates(M, area_list=None, **keywords):
     ax.set_yticks(y_index)
     # ax.set_yticklabels(A.network.structure_reversed['V1'])
     ax.set_yticklabels(A.network.structure['V1'][::-1])
-    ax.set_ylabel('Population', size=18)
-    ax.set_xlabel('Area index', size=18)
+    ax.set_ylabel('Population', size=15)
+    ax.set_xlabel('Area index', size=15)
     t = FixedLocator([0.01, 0.1, 1., 10., 100.])
 
     plt.colorbar(im, ticks=t)
diff --git a/multi-area-model.ipynb b/multi-area-model.ipynb
index d2bcb1cd333364e2819b5c57478f89f9ddbef27e..4e90e04b0048a00a46bb2f037234257f45d58295 100644
--- a/multi-area-model.ipynb
+++ b/multi-area-model.ipynb
@@ -579,10 +579,10 @@
    "metadata": {},
    "source": [
     "Comparable figure in our publications: <br>\n",
-    "1. Schmidt M, Bakker R, Hilgetag CC, Diesmann M & van Albada SJ\n",
+    "1. Schmidt M, Bakker R, Hilgetag CC, Diesmann M & van Albada SJ <br>\n",
     "   Multi-scale account of the network structure of macaque visual cortex\n",
-    "   Brain Structure and Function (2018), 223: 1409 [https://doi.org/10.1007/s00429-017-1554-4](https://doi.org/10.1007/s00429-017-1554-4) \n",
-    "   Fig. 4 D Area-level connectivity of the model, based on data in a–c, expressed as relative indegrees for each target area"
+    "   Brain Structure and Function (2018), 223: 1409 [https://doi.org/10.1007/s00429-017-1554-4](https://doi.org/10.1007/s00429-017-1554-4) <br>\n",
+    "   **Fig. 4 D Area-level connectivity of the model, based on data in a–c, expressed as relative indegrees for each target area**"
    ]
   },
   {
@@ -807,8 +807,8 @@
     "Comparable figure in our publications: <br>\n",
     "1. Schmidt M, Bakker R, Shen K, Bezgin B, Diesmann M & van Albada SJ (2018)\n",
     "   A multi-scale layer-resolved spiking network model of\n",
-    "   resting-state dynamics in macaque cortex. PLOS Computational Biology, 14(9): e1006359. [https://doi.org/10.1371/journal.pcbi.1006359](https://doi.org/10.1371/journal.pcbi.1006359)\n",
-    "   Fig 5. Resting state of the model with χ =1.9"
+    "   resting-state dynamics in macaque cortex. PLOS Computational Biology, 14(9): e1006359. [https://doi.org/10.1371/journal.pcbi.1006359](https://doi.org/10.1371/journal.pcbi.1006359) <br>\n",
+    "   **Fig 5. Resting state of the model with χ =1.9**"
    ]
   },
   {