Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity.
Prabodh KattiNicolas SkatchkovskyOsvaldo SimeoneBipin RajendranBashir M. Al-HashimiPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- probabilistic model
- bayesian model
- prior information
- variational bayes
- hyperparameters
- statistical inference
- variational inference
- hierarchical bayesian
- gibbs sampler
- spiking neurons
- social networks
- markov networks
- bio inspired
- spiking neural networks
- prior distribution
- bayesian models
- weighted model counting
- hidden variables
- network structure
- expectation propagation
- particle filter
- graphical models
- basal ganglia
- markov chain monte carlo
- probabilistic modeling
- feed forward
- maximum likelihood
- decision trees
- neural network