A Higher order Bayesian Neural Network with Spiking Units.
Anders LansnerAnders HolstPublished in: Int. J. Neural Syst. (1996)
Keyphrases
- higher order
- neural network
- neuron model
- feed forward
- learning rules
- spiking neurons
- back propagation
- hebbian learning
- artificial neural networks
- natural images
- single neuron
- spiking neural networks
- high order
- bio inspired
- feed forward neural networks
- neural nets
- recurrent neural networks
- pairwise
- maximum likelihood
- posterior probability
- neural models
- radial basis function
- biologically plausible
- low order
- conditional random fields
- markov random field
- activation function
- neural network is trained
- bayesian inference
- lower order
- bayesian learning
- hidden layer
- multi layer
- bp neural network
- neural network model
- self organizing maps
- bayesian networks
- network architecture
- visual cortex
- training algorithm
- posterior distribution
- multilayer perceptron
- learning algorithm
- genetic algorithm