Maximum likelihood parameter estimation of a spiking silicon neuron.
Alexander F. RussellRalph Etienne-CummingsPublished in: ISCAS (2011)
Keyphrases
- parameter estimation
- maximum likelihood
- neuron model
- single neuron
- spike trains
- hodgkin huxley
- spiking neurons
- spiking neural networks
- em algorithm
- maximum likelihood estimation
- feed forward
- statistical models
- neural models
- expectation maximization
- approximate inference
- neural network
- likelihood function
- covariance matrices
- parameter values
- biologically inspired
- random fields
- structure learning
- posterior distribution
- maximum a posteriori
- model fitting
- synthetic aperture radar
- estimation problems
- parameters estimation
- parameter estimation algorithm
- parameter learning
- bio inspired
- parameter estimates
- hyperparameters
- gaussian distribution
- artificial neural networks
- biologically plausible
- back propagation
- optical flow
- pairwise
- three dimensional