Stimulus-dependent Maximum Entropy Models of Neural Population Codes

Linking the Computational Structure of Variance Adaptation to Biophysical Mechanisms

(2012) Yusuf Ozuysal et al.   NEURON

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

Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity

(2011) Jakob H. Macke et al.   PHYSICAL REVIEW LETTERS

Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data

(2011) S. Cocco 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

Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment

(2011) P. Berkes et al.   SCIENCE

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

(2010) Ifije E. Ohiorhenuan et al.   NATURE

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

Decorrelated Neuronal Firing in Cortical Microcircuits

(2010) A. S. Ecker et al.   SCIENCE

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

How Gibbs Distributions May Naturally Arise from Synaptic Adaptation Mechanisms. A Model-Based Argumentation

(2009) B. Cessac et al.   JOURNAL OF STATISTICAL PHYSICS

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

Statistical physics of pairwise probability models

(2009) Yasser Roudi   Frontiers in Computational Neuroscience

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 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