Beyond Hebb synapses: biological building blocks for unsupervised learning in artificial neural networks
Patrick ThomasPublished in: Forschungsberichte, TU Munich (1990)
Keyphrases
- building blocks
- unsupervised learning
- artificial neural networks
- neural models
- neural network
- deep learning
- synaptic weights
- using artificial neural networks
- back propagation
- computational intelligence
- supervised learning
- semi supervised
- biological data
- network model
- object recognition
- spiking neural networks
- genetic algorithm ga
- neural network model
- feature selection
- biological systems
- text classification
- expectation maximization
- biologically plausible
- back end
- hebbian learning
- multilayer perceptron
- feed forward
- machine learning
- deep architectures
- data sets
- genetic algorithm
- associative memory
- recurrent neural networks
- support vector
- model selection