Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation

Neural Information Processing Systems 

Recent insights have revealed that rate-coding is a primary form of information representation captured by surrogate-gradient-based Backpropagation Through Time (BPTT) in training deep Spiking Neural Networks (SNNs).