Paper: Surrogate Gradient Learning in Spiking Neural Networks

“Bringing the Power of Gradient-based optimization to spiking neural networks”

We are happy to announce that our tutorial paper on Surrogate Gradient Learning in spiking neural networks now appeared in the IEEE Signal Processing Magazine. Great team effort with Emre Neftci and Hesham Mostafa. Unfortunately, the paper is behind a paywall, but you find the preprint without mangled equations here.