An online supervised learning algorithm based on triple spikes for spiking neural networks.
Guojun ChenXianghong LinGuoen WangPublished in: CoRR (2019)
Keyphrases
- spiking neural networks
- learning algorithm
- learning rules
- biologically inspired
- supervised learning
- training algorithm
- feed forward
- artificial neural networks
- back propagation
- online learning
- machine learning
- training data
- spiking neurons
- biologically plausible
- motor control
- semi supervised
- neural network
- learning rate
- decision trees
- learning scheme
- feature selection
- learning process
- reinforcement learning
- biological systems