Identifying signal and noise structure in neural population activity with Gaussian process factor models.
Stephen L. KeeleyMikio AoiYiyi YuSpencer L. SmithJonathan W. PillowPublished in: NeurIPS (2020)
Keyphrases
- gaussian process
- gaussian processes
- bayesian framework
- model selection
- gaussian process regression
- covariance function
- signal processing
- dynamical models
- hyperparameters
- latent variables
- gaussian process classification
- action potentials
- gaussian process models
- dynamical model
- regression model
- data sets
- generative model
- marginal likelihood
- semi supervised
- prior knowledge
- sparse approximations
- parameter estimation
- graphical models
- probabilistic model
- support vector