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

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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Bibliographic Details
Main Authors: Takehiro Habara, Takashi Sato, Hiromitsu Awano
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-08-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural network
Bayesian inference
neuromorphic computing
image classification
spiking network conversion
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1420119/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2024.1420119/full

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