Gibbs distribution analysis of temporal correlations structure in retina   ganglion cells
  We present a method to estimate Gibbs distributions with \textit{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 (\cite{marre-boustani-etal:09}) to describe the statistics of spatio-temporal spike patterns and emphasizes the role of higher order spatio-temporal interactions. 
J. C. Vasquez, O. Marre, A. G. Palacios, M. J. Berry II, B. Cessac
q-bio.NC physics.bio-ph