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SNN

Description: This package is released for NeurIPS 2022 paper "Theoretically provable spiking neural networks." [1].

References:
[1] S.-Q. Zhang and Z.-H. Zhou. Theoretically Provable Spiking Neural Networks. In: Advances in Neural Information Processing Systems 35 (NeurIPS'22), pp. 19345-19356. 2022.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact .

ATTN2: This package was developed by . For any problem concerning the code, please feel free to contact Dr. Zhang. Requirement: The package was developed with Matlab.

Download: [code] (116kB)
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