2023 - T1B - Random processes in the brain: from experimental data to math and back

Collection 2023 - T1B - Random processes in the brain: from experimental data to math and back

Organizer(s) Galves, Antonio ; Löcherbach, Eva ; Pouzat, Christophe ; Vargas, Claudia D.

Date(s) 27/02/2023 - 07/04/2023

linked URL https://indico.math.cnrs.fr/event/7792/

57 62

Stochastic modeling of neural networks - Part 2

By Christophe Pouzat

Content of the doctoral course:

• a discrete time stochastic neural network model: a system of interacting chains with memory of variable length;

• a case of study: correlations between successive inter spike intervals;

• stationary states in an infinite system;

• perfect simulation and Kalikov decompositions;

• statistical model selection in a class of systems of spiking neurons;

• mean field limits.

Information about the video

Date of recording 20/03/2023
Date of publication 20/03/2023
Institution IHP
Language English
Audience Researchers, Graduate Students
Director(s) Alexandre Duplessis, Marco Perez
Format MP4
Venue Amphitheater Darboux, IHP

Bibliography

Galves, A., Löcherbach, E. and Pouzat, C., Probabilistic spiking neuronal nets-Data, Models and Theorems

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