A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks.
Yan XuXiaoqin ZengLixin HanJing YangPublished in: Neural Networks (2013)
Keyphrases
- learning algorithm
- spiking neural networks
- learning rules
- spiking neurons
- biologically inspired
- supervised learning
- neural network
- back propagation
- biologically plausible
- machine learning
- active learning
- hebbian learning
- training data
- learning mechanism
- spike trains
- synaptic weights
- learning scheme
- training algorithm
- feed forward
- learning process
- learning rate
- semi supervised
- artificial neural networks
- reinforcement learning
- labeled data
- motor control
- mobile robot
- domain knowledge