Last modified by emrebasp on 2025/11/24 05:44
From version 9.1
edited by emrebasp
on 2025/11/18 17:55
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To version 13.1
edited by emrebasp
on 2025/11/24 05:44
Change comment: There is no comment for this version

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2 2  (((
3 3  (% class="container" %)
4 4  (((
5 -= Mean-fields and TVB-AdEx Hands-on =
5 += AdEx mean-field and TVB hands-on =
6 6  
7 -by Ilaria Carannante and Emre Baspinar
7 +by Emre Baspinar
8 8  )))
9 9  )))
10 10  
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16 16  
17 17  This collab contains the materials which will be used during the hands-on session on 24 November 2025, during EITN Autumn School 2025, which takes place in Marseille: [[https:~~/~~/www.ebrains.eu/news-and-events/eitn-ebrains-fall-school-2025>>url:https://www.ebrains.eu/news-and-events/eitn-ebrains-fall-school-2025]].
18 18  
19 -The objective of this hands-on session is to create a familiarity with mean-field concepts for the participant by performing simulations related to different brain states. At the beginning, we will describe the link with mean-fields and networks. Then, we will see the AdEx mean-field model and its building blocks. We will see example simulations of this mean-field framework in relation to neural population dynamics in different brain states. Finally, we will show a generalization of this framework to the whole-brain scale via TVB.
19 +The objective of this hands-on session is to create a familiarity with mean-field concepts for the participant by performing simulations related to different brain states. We will see the AdEx mean-field model and its building blocks. We will see example simulations of this mean-field framework in relation to neural population dynamics in different brain states. Finally, we will show a generalization of this framework to the whole-brain scale via TVB.
20 20  
21 21  = Requirements =
22 22  
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