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.


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