Temporal alignment and latent Gaussian process factor inference in population spike trains.
Lea DunckerManeesh SahaniPublished in: NeurIPS (2018)
Keyphrases
- gaussian process
- latent variables
- spike trains
- covariance function
- variational bayes
- expectation propagation
- latent space
- gaussian processes
- approximate inference
- gaussian process regression
- hyperparameters
- bayesian framework
- probabilistic model
- regression model
- bayesian inference
- semi supervised
- posterior distribution
- model selection
- dynamic bayesian networks
- probabilistic inference
- prior knowledge
- sparse approximations
- random variables
- topic models
- bayesian networks
- gaussian process models
- closed form
- markov chain monte carlo
- dirichlet process
- non stationary
- maximum likelihood
- co occurrence
- learning algorithm