Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons

Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms

(2014) Mihai A. Petrovici et al.   PLoS One

Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment

(2014) Robert Legenstein et al.   PLoS Computational Biology

STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning

(2014) David Kappel et al.   PLoS Computational Biology

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

(2013) Bernhard Nessler et al.   PLoS Computational Biology

Overview of the SpiNNaker System Architecture

(2012) Steve B. Furber et al.   IEEE TRANSACTIONS ON COMPUTERS

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

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks

(2010) Jens Kremkow et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Belief Propagation in Networks of Spiking Neurons

(2009) Andreas Steimer et al.   NEURAL COMPUTATION

PyNN: a common interface for neuronal network simulators

(2009) Andrew P Davison   Frontiers in Neuroinformatics

Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI

(2008) Srinjoy Mitra et al.   IEEE Transactions on Biomedical Circuits and Systems

Bayesian Spiking Neurons I: Inference

(2007) Sophie Deneve   NEURAL COMPUTATION