Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method

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

Mean Field Theory for Nonequilibrium Network Reconstruction

(2011) Yasser Roudi et al.   PHYSICAL REVIEW LETTERS

Sparse low-order interaction network underlies a highly correlated and learnable neural population code

(2011) E. Ganmor et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Stability of the stationary solutions of neural field equations with propagation delays

(2011) Romain Veltz et al.   Journal of Mathematical Neuroscience

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

(2010) B. Cessac   JOURNAL OF MATHEMATICAL BIOLOGY

Sparse coding and high-order correlations in fine-scale cortical networks

(2010) Ifije E. Ohiorhenuan et al.   NATURE

Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains

(2010) Yashar Ahmadian et al.   NEURAL COMPUTATION

Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains

(2010) Jonathan W. Pillow et al.   NEURAL COMPUTATION

Optimal population coding by noisy spiking neurons

(2010) G. Tkacik et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The Structure of Large-Scale Synchronized Firing in Primate Retina

(2009) J. Shlens et al.   JOURNAL OF NEUROSCIENCE

Small-correlation expansions for the inverse Ising problem

(2009) Vitor Sessak et al.   Journal of Physics A-Mathematical and Theoretical

Constraint satisfaction problems and neural networks: A statistical physics perspective

(2009) Marc Mézard et al.   JOURNAL OF PHYSIOLOGY-PARIS

Spontaneous Events Outline the Realm of Possible Sensory Responses in Neocortical Populations

(2009) Artur Luczak et al.   NEURON

Ising model for neural data: Model quality and approximate methods for extracting functional connectivity

(2009) Yasser Roudi et al.   PHYSICAL REVIEW E

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

Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't

(2009) Yasser Roudi et al.   PLoS Computational Biology

A Small World of Neuronal Synchrony

(2008) Shan Yu et al.   CEREBRAL CORTEX

A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro

(2008) A. Tang et al.   JOURNAL OF NEUROSCIENCE

Spatio-temporal correlations and visual signalling in a complete neuronal population

(2008) Jonathan W. Pillow et al.   NATURE