MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks.
Chengting YuYangkai DuMufeng ChenAili WangGaoang WangErping LiPublished in: CoRR (2022)
Keyphrases
- spiking neural networks
- spiking neurons
- biologically inspired
- training algorithm
- biologically plausible
- synaptic weights
- spike trains
- learning rules
- feed forward
- synaptic plasticity
- neural network
- artificial neural networks
- nearest neighbor
- hebbian learning
- back propagation
- motor control
- recurrent neural networks
- learning scenarios
- multiscale
- machine learning