Modeling Associative Plasticity between Synapses to Enhance Learning of Spiking Neural Networks.
Haibo ShenJuyu XiaoYihao LuoXiang CaoLiangqi ZhangTianjiang WangPublished in: CoRR (2022)
Keyphrases
- spiking neural networks
- biologically inspired
- neural models
- learning rules
- synaptic plasticity
- feed forward
- spiking neurons
- biologically plausible
- artificial neural networks
- hebbian learning
- neural network
- training algorithm
- motor control
- radial basis function
- associative memory
- synaptic weights
- machine learning
- biological systems
- learning strategies
- fuzzy logic
- learning process
- artificial intelligence