Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

Branch-Specific Plasticity Enables Self-Organization of Nonlinear Computation in Single Neurons

(2011) R. Legenstein et al.   JOURNAL OF NEUROSCIENCE

How to Grow a Mind: Statistics, Structure, and Abstraction

(2011) J. B. Tenenbaum et al.   SCIENCE

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

(2011) P. Berkes et al.   SCIENCE

Spike-Based Population Coding and Working Memory

(2011) Martin Boerlin et al.   PLoS Computational Biology

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons

(2011) Lars Buesing et al.   PLoS Computational Biology

Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference

(2010) Hava T. Siegelmann et al.   CHAOS

Stochastic Transitions between Neural States in Taste Processing and Decision-Making

(2010) P. Miller et al.   JOURNAL OF NEUROSCIENCE

An Embedded Subnetwork of Highly Active Neurons in the Neocortex

(2010) Lina Yassin et al.   NEURON

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

Statistically optimal perception and learning: from behavior to neural representations

(2010) József Fiser et al.   TRENDS IN COGNITIVE SCIENCES

Two views of brain function

(2010) Marcus E. Raichle   TRENDS IN COGNITIVE SCIENCES

Correlated Connectivity and the Distribution of Firing Rates in the Neocortex

(2009) A. A. Koulakov et al.   JOURNAL OF NEUROSCIENCE

Cortical Circuitry Implementing Graphical Models

(2009) Shai Litvak et al.   NEURAL COMPUTATION

Belief Propagation in Networks of Spiking Neurons

(2009) Andreas Steimer et al.   NEURAL COMPUTATION

Burst Spiking of a Single Cortical Neuron Modifies Global Brain State

(2009) C.-y. T. Li et al.   SCIENCE

PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python

(2009) Dejan Pecevski   Frontiers in Neuroinformatics

Spiking networks for Bayesian inference and choice

(2008) Wei Ji Ma et al.   CURRENT OPINION IN NEUROBIOLOGY

Compartmentalized dendritic plasticity and input feature storage in neurons

(2008) Attila Losonczy et al.   NATURE

Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration

(2008) Omer Bobrowski et al.   NEURAL COMPUTATION

Bayesian Spiking Neurons I: Inference

(2007) Sophie Deneve   NEURAL COMPUTATION