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 to release a more comprehensive collection

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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 train from frozen Poisson input spike

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