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

Diverse coupling of neurons to populations in sensory cortex

(2015) Michael Okun et al.   NATURE

Global network influences on local functional connectivity

(2015) Adam C Snyder et al.   NATURE NEUROSCIENCE

Stochastic transitions into silence cause noise correlations in cortical circuits

(2015) Gabriela Mochol et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Simultaneous silence organizes structured higher-order interactions in neural populations

(2015) Hideaki Shimazaki et al.   Scientific Reports

Sensory stimulation shifts visual cortex from synchronous to asynchronous states

(2014) Andrew Y. Y. Tan et al.   NATURE

Population code in mouse V1 facilitates readout of natural scenes through increased sparseness

(2014) Emmanouil Froudarakis et al.   NATURE NEUROSCIENCE

Dimensionality reduction for large-scale neural recordings

(2014) John P Cunningham et al.   NATURE NEUROSCIENCE

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 effect of nonstationarity on models inferred from neural data

(2013) Joanna Tyrcha et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

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

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

Learning and inference in a nonequilibrium Ising model with hidden nodes

(2013) Benjamin Dunn et al.   PHYSICAL REVIEW E

Maximum Likelihood Reconstruction for Ising Models with Asynchronous Updates

(2013) Hong-Li Zeng et al.   PHYSICAL REVIEW LETTERS

Missing mass approximations for the partition function of stimulus driven Ising models

(2013) Robert Haslinger et al.   Frontiers in Computational Neuroscience

Stimulus-dependent Maximum Entropy Models of Neural Population Codes

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

Adaptive Cluster Expansion for the Inverse Ising Problem: Convergence, Algorithm and Tests

(2012) S. Cocco et al.   JOURNAL OF STATISTICAL PHYSICS

Decorrelation and efficient coding by retinal ganglion cells

(2012) Xaq Pitkow et al.   NATURE NEUROSCIENCE

Statistical mechanics for natural flocks of birds

(2012) W. Bialek et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

(2012) Hideaki Shimazaki et al.   PLoS Computational Biology

Assessment of synchrony in multiple neural spike trains using loglinear point process models

(2011) Robert E. Kass et al.   Annals of Applied Statistics

The Ising decoder: reading out the activity of large neural ensembles

(2011) Michael T. Schaub et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Higher-Order Interactions Characterized in Cortical Activity

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

Mean Field Theory for Nonequilibrium Network Reconstruction

(2011) Yasser Roudi et al.   PHYSICAL REVIEW LETTERS

New Method for Parameter Estimation in Probabilistic Models: Minimum Probability Flow

(2011) Jascha Sohl-Dickstein 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

The Asynchronous State in Cortical Circuits

(2010) A. Renart et al.   SCIENCE

Kernel bandwidth optimization in spike rate estimation

(2009) Hideaki Shimazaki et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Data-Driven Significance Estimation for Precise Spike Correlation

(2009) Sonja Grün   JOURNAL OF NEUROPHYSIOLOGY

Small-correlation expansions for the inverse Ising problem

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

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

(2009) Artur Luczak et al.   NEURON

The impact of high-order interactions on the rate of synchronous discharge and information transmission in somatosensory cortex

(2009) F. Montani et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

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

(2009) Yasser Roudi et al.   PHYSICAL REVIEW E

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

Bayesian Inference of Functional Connectivity and Network Structure From Spikes

(2008) I.H. Stevenson et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

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

(2008) Jonathan W. Pillow et al.   NATURE

Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice

(2008) James F. A. Poulet et al.   NATURE

Generating Spike Trains with Specified Correlation Coefficients

(2008) Jakob H. Macke et al.   NEURAL COMPUTATION