BayesianSpikeFusion: accelerating spiking neural network inference via Bayesian fusion of early prediction

Spiking neural networks (SNNs) have garnered significant attention due to their notable energy efficiency. However, conventional SNNs rely on spike firing frequency to encode information, necessitating a fixed sampling time and leaving room for further optimization. This study presents a novel appro...

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Detalhes bibliográficos

Principais autores:	Takehiro Habara, Takashi Sato, Hiromitsu Awano
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2024-08-01
coleção:	Frontiers in Neuroscience
Assuntos:	spiking neural network Bayesian inference neuromorphic computing image classification spiking network conversion
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1420119/full
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