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...

書誌詳細
出版年:	Frontiers in Neuroscience
主要な著者:	Takehiro Habara, Takashi Sato, Hiromitsu Awano
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2024-08-01
主題:	spiking neural network Bayesian inference neuromorphic computing image classification spiking network conversion
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1420119/full

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