Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses.
Mengwen YuanXi WuRui YanHuajin TangPublished in: Neural Comput. (2019)
Keyphrases
- spiking neural networks
- reinforcement learning
- biologically inspired
- neural models
- spiking neurons
- learning rules
- artificial neural networks
- feed forward
- motor control
- hebbian learning
- neural network
- biologically plausible
- state space
- synaptic plasticity
- learning algorithm
- optimal policy
- dynamic programming
- training algorithm
- learning process
- machine learning
- domain knowledge
- robot control
- training process
- network architecture
- visual processing
- object recognition
- support vector
- multi agent
- feature selection
- synaptic weights