BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons.
Dongcheng ZhaoYi ZengYang LiPublished in: Neural Networks (2022)
Keyphrases
- spiking neural networks
- biologically inspired
- spiking neurons
- synaptic plasticity
- feed forward
- learning rules
- biologically plausible
- artificial neural networks
- neural network
- hebbian learning
- cerebellar model
- visual cortex
- liquid state machine
- motor control
- receptive fields
- neuron model
- training algorithm
- radial basis function
- computational model
- synaptic weights