Heterogeneous neurons and plastic synapses in a reconfigurable cortical neural network IC.
Jayawan H. B. WijekoonPiotr DudekPublished in: ISCAS (2012)
Keyphrases
- spiking neurons
- neural network
- synaptic weights
- neuron model
- biologically plausible
- receptive fields
- spiking neural networks
- hidden layer
- synaptic plasticity
- feed forward
- associative memory
- biologically inspired
- hebbian learning
- visual cortex
- neural models
- back propagation
- primary visual cortex
- neural network model
- spike trains
- low cost
- reconfigurable architecture
- natural images
- learning rules
- artificial neural networks
- feed forward neural networks
- activation function
- integrated circuit
- heterogeneous computing
- network architecture
- training algorithm
- neural nets
- neural model
- output layer
- hardware implementation
- feedforward neural networks
- action potentials
- bp neural network
- connection weights
- network model
- saliency map
- recurrent neural networks
- multilayer perceptron
- multi layer perceptron
- radial basis function
- self organizing maps
- orientation selective
- genetic algorithm