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