Spike Train Statistics from Empirical Facts to Theory: The Case of the Retina - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Book Sections Year : 2013

Spike Train Statistics from Empirical Facts to Theory: The Case of the Retina

Abstract

This chapter focuses on methods from statistical physics and probability theory allowing the analysis of spike trains in neural networks. Taking as an example the retina we present recent works attempting to understand how retina ganglion cells encode the information transmitted to the visual cortex via the optical nerve, by analyzing their spike train statistics. We compare the maximal entropy models used in the literature of retina spike train analysis to rigorous results establishing the exact form of spike train statistics in conductance-based Integrate-and-Fire neural networks.
Fichier principal
Vignette du fichier
author.pdf (631.06 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00640507 , version 1 (12-11-2011)

Identifiers

  • HAL Id : hal-00640507 , version 1

Cite

Bruno Cessac, Adrian Palacios. Spike Train Statistics from Empirical Facts to Theory: The Case of the Retina. Frédéric Cazals and Pierre Kornprobst. Modeling in Computational Biology and Biomedicine: A Multidisciplinary Endeavor, Springer, 2013. ⟨hal-00640507⟩
624 View
467 Download

Share

Gmail Facebook X LinkedIn More