Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring.
David KappelStefan HabenschussRobert LegensteinWolfgang MaassPublished in: NIPS (2015)
Keyphrases
- neural network
- feed forward
- learning rules
- synaptic weights
- spiking neural networks
- neural network model
- back propagation
- artificial neural networks
- neuron model
- synaptic plasticity
- neural nets
- spiking neurons
- hidden layer
- likelihood model
- single neuron
- biologically inspired
- feed forward neural networks
- biologically plausible
- activation function
- random sampling
- pattern recognition
- visual cortex
- spike trains
- recurrent neural networks
- fuzzy logic
- hebbian learning
- neural network is trained
- semantic overlay networks
- network model
- monte carlo
- fault diagnosis
- sample size
- social networks
- learning mechanism
- sampled data
- multi layer perceptron
- network architecture
- bp neural network
- prediction model
- multilayer perceptron
- self organizing maps
- probabilistic model
- feature space