2022 - T1 - WS2 - Mathematical modeling and statistical analysis in neuroscience

Collection 2022 - T1 - WS2 - Mathematical modeling and statistical analysis in neuroscience

Organizer(s) Ditlevsen, Susanne ; Faugeras, Olivier ; Galves, Antonio ; Reynaud-Bouret, Patricia ; Salort, Delphine ; Shinomoto, Shigeru

Date(s) 31/01/2022 - 04/02/2022

linked URL https://indico.math.cnrs.fr/event/6532/

00:00:00 / 00:00:00

7 30

A new method to simulate Hawkes processes

By Tien Cuong Phi

In Neuroscience, Hawkes process is one of the most popular model to capture the activity of neural networks. In this talk, we are interested in simulating Hawkes processes with a huge number of neurons. By using Kalikow decomposition, we modify the classical Ogata algorithm to obtain a new algorithm, that is more tractable in practice. We present some interesting mathematical and simulated results. This based on recent works with Patricia Reynaud-Bouret (LJAD), Alexandre Muzy (I3S, Inria) and Eva Locherbach (Paris 1). This is a joint work with Paul Gresland (NeuroMod).

Information about the video

Date of recording 01/02/2022
Date of publication 01/02/2022
Institution IHP
Language English
Audience Researchers
Director(s) Mandarine Audiovisuel
Format MP4
Venue IHP - Hermite Amphitheater

Citation data

DOI 10.57987/IHP.2022.T1.WS2.007
Cite this video Cuong Phi, Tien (01/02/2022). A new method to simulate Hawkes processes. IHP. Audiovisual resource. DOI: 10.57987/IHP.2022.T1.WS2.007
URL https://dx.doi.org/10.57987/IHP.2022.T1.WS2.007

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