Adaptive (SRNN) Spiking Recurrent Neural network

Yin, Bojian

This code implements the adaptive spiking recurrent network with learnable parameters on Pytorch for various tasks. This is scientific software, and as such subject to many modifications; we aim to further improve the software to become more user-friendly and extendible in the future.

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Rights	MIT license
Organisation	Machine Learning
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Yin, B. (2021). Adaptive (SRNN) Spiking Recurrent Neural network.

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article Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks B. Yin (Bojian), F. Corradi (Federico) and S.M. Bohte (Sander)

Adaptive (SRNN) Spiking Recurrent Neural network

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Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

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Adaptive (SRNN) Spiking Recurrent Neural network

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article Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

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Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks