GAIT-prop: A biologically plausible learning rule derived from backpropagation of error.
Nasir AhmadMarcel A. J. van GervenLuca AmbrogioniPublished in: NeurIPS (2020)
Keyphrases
- back propagation
- biologically plausible
- feed forward
- learning rules
- spiking neural networks
- biologically inspired
- artificial neural networks
- neural network
- hidden layer
- neural nets
- visual cortex
- feed forward neural networks
- error function
- fuzzy logic
- training algorithm
- activation function
- bp neural network
- recurrent neural networks
- bp algorithm
- multilayer perceptron
- learning algorithm
- feedforward neural networks
- receptive fields
- backpropagation neural network
- backpropagation neural networks
- biological systems
- real time