Title	Quasi-Synchronisation in a stochastic spiking neural network
Creator	Veltz, Romain
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2017-03-02T15:51
Description	I will discuss a recent mean field (from E. LÃ¶cherbach and collaborators, R. Robert and J.Touboul) of a stochastic spiking neural network from a dynamical systems perspective. More precisely, I will present some recent results concerning the quasi-synchronisation of the neurons as function of the different parameters of the network (gap junction conductances, synaptic strength...).
Extent	33.0
Subject	Mathematics; Statistics; Probability theory and stochastic processes; Applied statistics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Inria Sophia Antipolis Méditerranée
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2019-03-09
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0376696
URI	http://hdl.handle.net/2429/68549
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Other
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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