Title	Hypoelliptic stochastic FitzHugh-Nagumo neuronal model: mixing, up-crossing and estimation of the spike rate
Creator	Samson, Adeline
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2017-02-27T10:45
Description	Joint work with J.R. Leon (Universidad Central de Venezuela). In this presentation, we will introduce the hypoelliptic stochastic neuronal model, as diffusion approximation of intra-cellular or extra-cellular models. Then we will specifically focus on the FitzHugh-Nagumo model, and detail some of its properties: stationary distribution, definition of spikes, estimation of spiking rate.
Extent	62 minutes
Subject	Mathematics; Statistics; Probability theory and stochastic processes; Applied statistics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Universite Grenoble Alpes
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2017-08-27
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0354792
URI	http://hdl.handle.net/2429/62833
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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