Inhibitory synapses in neural networks with sigmoidal nonlinearities.
Francesco PalmieriClaudia CatelloGennaro D'OrioPublished in: IEEE Trans. Neural Networks (1999)
Keyphrases
- neural network
- spiking neural networks
- synaptic weights
- activation function
- artificial neural networks
- neural network model
- feed forward
- receptive fields
- feed forward neural networks
- neural models
- biologically inspired
- biologically plausible
- hidden layer
- pattern recognition
- feedforward neural networks
- genetic algorithm
- fuzzy logic
- back propagation
- associative memory
- spiking neurons
- multi layer
- network model
- hebbian learning
- network architecture
- data sets
- neural nets
- recurrent neural networks
- multilayer perceptron
- fuzzy systems
- input pattern
- fault diagnosis
- motor control
- data mining
- natural images
- information systems
- artificial intelligence
- learning algorithm