Exact computation of the maximum-entropy potential of spiking neural-network models

Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses

(2013) Rodrigo Cofré et al.   CHAOS SOLITONS & FRACTALS

The simplest maximum entropy model for collective behavior in a neural network

(2013) Gašper Tkačik et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Stimulus-dependent Maximum Entropy Models of Neural Population Codes

(2013) Einat Granot-Atedgi et al.   PLoS Computational Biology

The Architecture of Functional Interaction Networks in the Retina

(2011) E. Ganmor et al.   JOURNAL OF NEUROSCIENCE

Gibbs distribution analysis of temporal correlations structure in retina ganglion cells

(2011) J.C. Vasquez et al.   JOURNAL OF PHYSIOLOGY-PARIS

A discrete time neural network model with spiking neurons: II: Dynamics with noise

(2010) B. Cessac   JOURNAL OF MATHEMATICAL BIOLOGY

Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains

(2010) Yashar Ahmadian et al.   NEURAL COMPUTATION

Prediction of Spatiotemporal Patterns of Neural Activity from Pairwise Correlations

(2009) O. Marre et al.   PHYSICAL REVIEW LETTERS

Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods

(2009) S. Cocco et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA