Inference in spiking Bayesian neurons using stochastic computation.
Chetan Singh ThakurJamal MolinRalph Etienne-CummingsAndré van SchaikPublished in: CISS (2017)
Keyphrases
- neuron model
- single neuron
- bayesian networks
- bayesian inference
- spiking neurons
- hodgkin huxley
- spike trains
- spiking neural networks
- learning rules
- feed forward
- neural network
- inference process
- monte carlo sampling
- bayesian model
- gauss markov random fields
- bayesian models
- neural models
- monte carlo
- visual cortex
- dynamic bayesian networks
- probabilistic inference
- basal ganglia
- learning algorithm
- statistical inference
- tree grammars
- bio inspired
- conditional probability distributions
- activation function
- biologically plausible
- learning automata