A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons.
Dimitrios V. VavoulisVolko A. StraubJohn A. D. AstonJianfeng FengPublished in: PLoS Comput. Biol. (2012)
Keyphrases
- parameter estimation
- state space model
- model selection
- random fields
- maximum likelihood
- neural network
- least squares
- model fitting
- markov random field
- em algorithm
- hodgkin huxley
- parameter estimation algorithm
- expectation maximization
- autoregressive
- estimation problems
- probabilistic model
- parameter estimates
- posterior distribution
- kalman filter
- hidden markov models
- state estimation
- optical flow
- video sequences