Spiking neural networks trained via proxy. (arXiv:2109.13208v3 [cs.NE] UPDATED)

Web: http://arxiv.org/abs/2109.13208

We propose a new learning algorithm to train spiking neural networks (SNN)
using conventional artificial neural networks (ANN) as proxy. We couple two SNN
and ANN networks, respectively, made of integrate-and-fire (IF) and ReLU
neurons with the same network architectures and shared synaptic weights. The
forward passes of the two networks are totally independent. By assuming IF
neuron with rate-coding as an approximation of ReLU, we backpropagate the error
of the SNN in the proxy ANN to update the shared …

arxiv networks neural neural networks spiking neural networks