Spike train statistics and Gibbs distributions
Biological Physics
2014-04-15 v1 Neurons and Cognition
Abstract
This paper is based on a lecture given in the LACONEU summer school, Valparaiso, January 2012. We introduce Gibbs distribution in a general setting, including non stationary dynamics, and present then three examples of such Gibbs distributions, in the context of neural networks spike train statistics: (i) Maximum entropy model with spatio-temporal constraints; (ii) Generalized Linear Models; (iii) Conductance based Inte- grate and Fire model with chemical synapses and gap junctions.
Cite
@article{arxiv.1302.5007,
title = {Spike train statistics and Gibbs distributions},
author = {B. Cessac and R. Cofré},
journal= {arXiv preprint arXiv:1302.5007},
year = {2014}
}
Comments
23 pages, submitted