Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks.
Yanping HuangRajesh P. N. RaoPublished in: NIPS (2014)
Keyphrases
- bayesian inference
- monte carlo
- spiking neural networks
- markov chain monte carlo
- particle filter
- importance sampling
- learning rules
- markovian decision
- hidden variables
- learning algorithm
- neural network
- temporal difference learning
- prior information
- markov chain
- matrix inversion
- monte carlo tree search
- adaptive sampling
- monte carlo simulation
- reinforcement learning
- bayesian networks
- gibbs sampler
- spiking neurons