A Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks.
Xianghong LinGuoyong ShiPublished in: ICANN (1) (2018)
Keyphrases
- spiking neural networks
- learning algorithm
- spiking neurons
- learning rules
- biologically inspired
- feed forward
- training algorithm
- back propagation
- artificial neural networks
- neural network
- supervised learning
- biologically plausible
- active learning
- learning scheme
- hebbian learning
- machine learning
- semi supervised
- training data
- learning rate
- motor control
- learning mechanisms
- radial basis function
- spike trains
- learning process
- reinforcement learning
- synaptic weights