Bayesian inference for generalized linear models for spiking neurons.
Sebastian GerwinnJakob H. MackeMatthias BethgePublished in: Frontiers Comput. Neurosci. (2010)
Keyphrases
- bayesian inference
- generalized linear models
- spiking neurons
- regression model
- logistic regression
- probabilistic model
- linear regression
- prior information
- feed forward
- biologically plausible
- spiking neural networks
- variational inference
- hyperparameters
- bayesian model
- neural network
- spike trains
- biologically inspired
- markov chain monte carlo
- gaussian process
- support vector
- training set
- data sets
- high dimensional
- particle filter
- loss function
- generative model
- pairwise
- decision trees