title: Gibbs distribution analysis of temporal correlations structure in retina ganglion cells.
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.
authors: NeuroMathComp Team, INRIA, ENS Paris, UNSA LJAD, 2004 Route des Lucioles, 06902 Sophia-Antipolis, France. jc.vasquez@sciences.ru.nl
authors: J C
authors: JC
authors: Vasquez
authors: O
authors: O
authors: Marre
authors: A G
authors: AG
authors: Palacios
authors: M J
authors: MJ
authors: Berry
authors: B
authors: B
authors: Cessac
mesh_terms: D000465:Algorithms; D000818:Animals; D008959:Models, Neurological; D015233:Models, Statistical; D010775:Photic Stimulation / Q000379:methods; D012165:Retinal Ganglion Cells / Q000502:physiology*; D014562:Caudata; D058067:Wavelet Analysis