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Conference Papers Year : 2013

Spike trains analysis, Gibbs distributions and (Variable Length ?) Markov chains

Bruno Cessac
Mathematical and Computational Neuroscience
CV

Abstract

We review recent advances in the statistical analysis of neuronal spike trains based on Gibbs distributions in a large sense (including non stationarity). We evoke some possible applications of Variable Length Markov Chains in this field.

Domains

General Mathematics [math.GM]

Pierre Kornprobst  : Connect in order to contact the contributor

https://inria.hal.science/hal-00845619

Submitted on : Wednesday, July 17, 2013-2:19:38 PM

Last modification on : Friday, May 3, 2024-11:08:45 AM

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Dates and versions

hal-00845619 , version 1 (17-07-2013)

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  • HAL Id : hal-00845619 , version 1

Cite

Bruno Cessac. Spike trains analysis, Gibbs distributions and (Variable Length ?) Markov chains. VLMC days, 5-6 March 2013, Mar 2013, Dijon, France. ⟨hal-00845619⟩

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