Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework.
Yalda AmidiBehzad NazariSaeid SadriAli YousefiPublished in: Neural Comput. (2021)
Keyphrases
- parameter estimation
- modeling framework
- maximum likelihood
- least squares
- parameter values
- state space
- em algorithm
- posterior distribution
- model fitting
- statistical models
- random fields
- model selection
- markov random field
- parameter estimation algorithm
- expectation maximization
- experimental data
- markov chain
- probability distribution
- probabilistic model
- dynamic programming
- optical flow
- reinforcement learning
- markov fields
- e learning