Probabilistic models for neural populations that naturally capture global coupling and criticality

Higher-order correlations in common input shapes the output spiking activity of a neural population

(2017) Lisandro Montangie et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations

(2017) Christian Donner et al.   PLoS Computational Biology

Towards the design principles of neural population codes

(2016) Elad Schneidman   CURRENT OPINION IN NEUROBIOLOGY

Error-Robust Modes of the Retinal Population Code

(2016) Jason S. Prentice et al.   PLoS Computational Biology

Zipf’s Law Arises Naturally When There Are Underlying, Unobserved Variables

(2016) Laurence Aitchison et al.   PLoS Computational Biology

Diverse coupling of neurons to populations in sensory cortex

(2015) Michael Okun et al.   NATURE

Quantifying higher-order correlations in a neuronal pool

(2015) Lisandro Montangie et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Dynamical Criticality in the Collective Activity of a Population of Retinal Neurons

(2015) Thierry Mora et al.   PHYSICAL REVIEW LETTERS

Thermodynamics and signatures of criticality in a network of neurons

(2015) Gašper Tkačik et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

High Accuracy Decoding of Dynamical Motion from a Large Retinal Population

(2015) Olivier Marre et al.   PLoS Computational Biology

Inverse Spin Glass and Related Maximum Entropy Problems

(2014) Michele Castellana et al.   PHYSICAL REVIEW LETTERS

Zipf’s Law and Criticality in Multivariate Data without Fine-Tuning

(2014) David J. Schwab et al.   PHYSICAL REVIEW LETTERS

Modeling Higher-Order Correlations within Cortical Microcolumns

(2014) Urs Köster et al.   PLoS Computational Biology

Searching for Collective Behavior in a Large Network of Sensory Neurons

(2014) Gašper Tkačik et al.   PLoS Computational Biology

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

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

On sampling and modeling complex systems

(2013) Matteo Marsili et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Statistical modelling of higher-order correlations in pools of neural activity

(2013) Fernando Montani et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Statistical Thermodynamics of Natural Images

(2013) Greg J. Stephens et al.   PHYSICAL REVIEW LETTERS

Hierarchical model of natural images and the origin of scale invariance

(2013) S. Saremi et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Population Rate Dynamics and Multineuron Firing Patterns in Sensory Cortex

(2012) M. Okun et al.   JOURNAL OF NEUROSCIENCE

State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data

(2012) Hideaki Shimazaki et al.   PLoS Computational Biology

When do generalized entropies apply? How phase space volume determines entropy

(2011) R. Hanel et al.   EPL

Higher-Order Interactions Characterized in Cortical Activity

(2011) S. Yu et al.   JOURNAL OF NEUROSCIENCE

On the criticality of inferred models

(2011) Iacopo Mastromatteo et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Are Biological Systems Poised at Criticality?

(2011) Thierry Mora et al.   JOURNAL OF STATISTICAL PHYSICS

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

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

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

(2010) Ifije E. Ohiorhenuan et al.   NATURE

Maximum entropy models for antibody diversity

(2010) T. Mora et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

(2008) Jonathan W. Pillow et al.   NATURE