Gibbs distribution analysis of temporal correlations structure in retina ganglion cells

J C Vasquez; O Marre; A G Palacios; M J Berry 2nd; B Cessac

doi:10.1016/j.jphysparis.2011.11.001

Gibbs distribution analysis of temporal correlations structure in retina ganglion cells

J Physiol Paris. 2012 May-Aug;106(3-4):120-7. doi: 10.1016/j.jphysparis.2011.11.001. Epub 2011 Nov 17.

Authors

J C Vasquez¹, O Marre, A G Palacios, M J Berry 2nd, B Cessac

Affiliation

¹ NeuroMathComp Team, INRIA, ENS Paris, UNSA LJAD, 2004 Route des Lucioles, 06902 Sophia-Antipolis, France. jc.vasquez@sciences.ru.nl

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.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Animals
Models, Neurological*
Models, Statistical*
Photic Stimulation / methods
Retinal Ganglion Cells / physiology*
Urodela
Wavelet Analysis

Abstract

Publication types

MeSH terms

Grants and funding