A supervised learning algorithm based on spike train inner products for recurrent spiking neural networks.
Xianghong LinXiaomei PiXiangwen WangPublished in: Int. J. Comput. Sci. Math. (2023)
Keyphrases
- spiking neural networks
- learning algorithm
- spiking neurons
- spike trains
- learning rules
- biologically inspired
- feed forward
- training algorithm
- back propagation
- artificial neural networks
- supervised learning
- biologically plausible
- single neuron
- neural network
- machine learning
- generalization ability
- hebbian learning
- learning scheme
- motor control
- training data
- learning rate
- active learning
- reinforcement learning
- receptive fields
- learning process
- network architecture