gracewx / spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp Goto Github PK
View Code? Open in Web Editor NEWThis project forked from guillaume-chevalier/spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.