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# SpyTorch | ||
A tutorial on surrogate gradient learning in spiking neural networks | ||
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Version: 0.2 | ||
Version: 0.3 | ||
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This repository contains tutorial files to get you started with the basic ideas | ||
of surrogate gradient learning in spiking neural networks using PyTorch. | ||
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Feedback and contributions are welcome. | ||
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> For more information on surrogate gradient learning please refer to: | ||
> Neftci, E.O., Mostafa, H., and Zenke, F. (2019). Surrogate Gradient Learning in Spiking Neural Networks. | ||
> https://arxiv.org/abs/1901.09948 | ||
> Neftci, E.O., Mostafa, H., and Zenke, F. (2019). Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks. IEEE Signal Processing Magazine 36, 51–63. | ||
> https://ieeexplore.ieee.org/document/8891809 | ||
> preprint: https://arxiv.org/abs/1901.09948 | ||
Also see https://github.com/surrogate-gradient-learning | ||
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## Copyright and license | ||
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Copyright 2019 Friedemann Zenke, https://fzenke.net | ||
Copyright 2019-2020 Friedemann Zenke, https://fzenke.net | ||
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This work is licensed under a Creative Commons Attribution 4.0 International License. | ||
http://creativecommons.org/licenses/by/4.0/ |