Bayesian Inference and Online Learning in Poisson Neuronal Networks

Neural Computation, Volume 28, Issue 8, 2016, Pages 1503-1526.

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Abstract:

Motivated by the growing evidence for Bayesian computation in the brain, we show how a two-layer recurrent network of Poisson neurons can perform both approximate Bayesian inference and learning for any hidden Markov model. The lower-layer sensory neurons receive noisy measurements of hidden world states. The higher-layer neurons infer a ...More

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