Gibbs distribution analysis of temporal correlations structure in retina ganglion cells

J. C. Vasquez, O. Marre, A. G. Palacios, M. J. Berry, B. Cessac

Research output: Contribution to journalArticle

27 Scopus citations

Abstract

We present a method to estimate Gibbs distributions with spatio-temporal constraints on spike trains statistics. We apply this method to spike trains recorded from ganglion cells of the salamander retina, in response to natural movies. Our analysis, restricted to a few neurons, performs more accurately than pairwise synchronization models (Ising) or the 1-time step Markov models (Marre et al., 2009) to describe the statistics of spatio-temporal spike patterns and emphasizes the role of higher order spatio-temporal interactions.

Original languageEnglish (US)
Pages (from-to)120-127
Number of pages8
JournalJournal of Physiology Paris
Volume106
Issue number3-4
DOIs
StatePublished - May 2012

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)
  • Physiology (medical)

Keywords

  • Gibbs distributions
  • Higher-order correlation
  • Maximum entropy
  • Spike-train analysis
  • Statistical physics

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