کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2842330 | 1571027 | 2012 | 8 صفحه PDF | دانلود رایگان |
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.
► A method to estimate general maximum-entropy models (beyond Ising).
► A method to compare statistical models by minimizing Kullback–Leibler divergence.
► Application to analyze multi-electrode arrays spike-trains for small groups of neurons.
► For spatio-temporal patterns of two/three neurons, higher orders terms, and Markovian interactions of finite memory improve the description of the statistics.
Journal: Journal of Physiology-Paris - Volume 106, Issues 3–4, May–August 2012, Pages 120–127