update

Author: ZhenyuanJin

_data/meeting_info.yml

@@ -12,7 +12,7 @@
   url: https://www.nature.com/articles/nature06028
   pdf: https://www.nature.com/articles/nature06028.pdf
   authors: Jaime de la Rocha, Brent Doiron, Eric Shea-Brown, Krešimir Josić & Alex Reyes
-  slides:
+  slides: https://202.120.13.81:10003/d/f/14ulFDnzXwrpOdOYBcSOyMK3EK6ArZf1
   video: https://202.120.13.81:10003/d/f/14lWK918qyHuAgMIB6ecskKnLD1MMQwr
 
 - presenter: Lishuo Zhang

_posts/2025-09-08-XiaoyuChen.md renamed to _posts/2025-09-04-XiaoyuChen.md

@@ -2,7 +2,7 @@
 layout: post
 author: Xiaoyu Chen
 title: Mapping effective connectivity by virtually perturbing a surrogate brain
-date: 2025-09-08 10:00:00
+date: 2025-09-04 10:00:00
 description: Luo et al. proposed a deep learning based method using next-step-prediction to train ANNs for fMRI signals. With the well-trained ANNs, a virtual perturbation scheme can be adopted to infer a brain-wide effective connectome (EC). The inferred EC was found as correlated with the empirical EC (i.e., CCEPs from F-TRACT dataset). They first provided an proof-of-concept of using next-step-prediction with ANNs for fMRI signals, however, there is still unsolved issues about how to identify the noise amplitude in resting-state simulation of the ANN model.
 tags: large-scale modelling, effective connectivity, fMRI based brain-wide model training
 ---

blog/index.html

@@ -25,8 +25,8 @@ <h2>{{ site.blog_description }}</h2>
   <h3><b>Time &amp; Place</b></h3>
   <hr>
   <p>
-    <li>10:00 - 12:00, <b>Monday</b>, Room 342 (stream online)</li>
-    <li>10:00 - 12:00, <b>Wednesday</b>, Room 342 (stream online)</li>
+    <li>14:00 - 18:00, <b>Wednesday</b>, Room 342 (stream online)</li>
+    <li>10:00 - 12:00, <b>Friday</b>, Room 342 (stream online)</li>
 
   </p>
   <p style="text-indent:1em;">