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LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Liu, Zeyu, Datta, Gourav, Li, Anni, Beerel, Peter Anthony
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Artificial Intelligence Machine Learning Sound Audio and Speech Processing
Accesso online:	Acceder al recurso
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