Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models.
Ruoxi SunScott W. LindermanIan KinsellaLiam PaninskiPublished in: NeurIPS (2019)
Keyphrases
- bayesian inference
- probabilistic model
- state space
- statistical inference
- probabilistic modeling
- gibbs sampler
- variational inference
- prior information
- markov chain monte carlo
- hidden variables
- particle filter
- bayesian models
- bayesian model
- graphical models
- markov decision processes
- hyperparameters
- reinforcement learning
- dendritic spines
- heuristic search
- expectation maximization
- pairwise