Fully Bayesian inference for neural models with negative-binomial spiking.
Jonathan W. PillowJames G. ScottPublished in: NIPS (2012)
Keyphrases
- neural models
- fully bayesian
- negative binomial
- spiking neural networks
- markov chain monte carlo
- bio inspired
- maximum likelihood
- neural model
- neural network model
- generative model
- contingency tables
- biologically inspired
- gaussian process
- neural network
- artificial neural networks
- posterior distribution
- bayesian inference
- recurrent neural networks
- learning rules
- statistical inference
- approximate inference
- hierarchical model
- markov chain
- swarm intelligence
- parameter estimation
- biologically plausible
- model selection
- genetic algorithm