53 citations · 110 across the 8 of their papers we have counts for
4 papers · 1 filter
Information Entropy Production of Spatio-Temporal Maximum Entropy Distributions
Rodrigo Cofre, Cesar Maldonado
Spiking activity from populations of neurons display causal interactions and memory effects. Therefore, they are expected to show some degree of irreversibility in time. Motivated…
Exact computation of the Maximum Entropy Potential of spiking neural networks models
Rodrigo Cofre, Bruno Cessac
Understanding how stimuli and synaptic connectivity in uence the statistics of spike patterns in neural networks is a central question in computational neuroscience. Maximum Entrop…
Spike train statistics and Gibbs distributions
B. Cessac, R. Cofré
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 dynami…
Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses
Rodrigo Cofré, Bruno Cessac
We investigate the effect of electric synapses (gap junctions) on collective neuronal dynamics and spike statistics in a conductance-based Integrate-and-Fire neural network, driven…