Solving Constraint Satisfaction Problems with Networks of Spiking Neurons

Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States

(2015) Hesham Mostafa et al.   NEURAL COMPUTATION

To Spike or Not to Spike: That Is the Question

(2015) Wolfgang Maass   PROCEEDINGS OF THE IEEE

An event-based architecture for solving constraint satisfaction problems

(2015) Hesham Mostafa et al.   Nature Communications

Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits

(2014) Tara Julia Hamilton et al.   PROCEEDINGS OF THE IEEE

A million spiking-neuron integrated circuit with a scalable communication network and interface

(2014) P. A. Merolla et al.   SCIENCE

NEVESIM: event-driven neural simulation framework with a Python interface

(2014) Dejan Pecevski et al.   Frontiers in Neuroinformatics

Stochastic Computations in Cortical Microcircuit Models

(2013) Stefan Habenschuss et al.   PLoS Computational Biology

Decorrelation of Neural-Network Activity by Inhibitory Feedback

(2012) Tom Tetzlaff et al.   PLoS Computational Biology

Theta-paced flickering between place-cell maps in the hippocampus

(2011) Karel Jezek et al.   NATURE

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

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

(2011) Dejan Pecevski 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

The probability of neurotransmitter release: variability and feedback control at single synapses

(2009) Tiago Branco et al.   NATURE REVIEWS NEUROSCIENCE

Noise in the nervous system

(2008) A. Aldo Faisal et al.   NATURE REVIEWS NEUROSCIENCE