State and Parameter Estimation for Canonic Models of Neural oscillators.
Ivan TyukinErik SteurHenk NijmeijerDavid FairhurstInseon SongAlexey V. SemyanovCees van LeeuwenPublished in: Int. J. Neural Syst. (2010)
Keyphrases
- parameter estimation
- statistical models
- model selection
- maximum likelihood
- random fields
- least squares
- em algorithm
- parameter estimation algorithm
- markov random field
- maximum likelihood estimation
- model fitting
- markov chain monte carlo
- expectation maximization
- estimation problems
- parameter estimates
- approximate inference
- probabilistic model
- position estimation
- parameter values
- structure learning
- prior knowledge
- color images