Update (2020-12-30) Now published: Cramer, B., Stradmann, Y., Schemmel, J., and Zenke, F. (2020). The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning SystemsContinue reading
Tag: spiking neural networks
Tutorial on surrogate gradient learning in spiking networks online
Please try this at home! I just put up a beta version of a tutorial showing how to train spiking neural networks with surrogate gradients using PyTorch: https://github.com/fzenke/spytorch Emre, Hesham, and myself are planning toContinue reading
SuperSpike: Supervised learning in spiking neural networks — paper and code published
I am happy to announce that the SuperSpike paper and code are finally published. Here is an example of a network with one hidden layer which is learning to produce a Radcliffe Camera spike trainContinue reading