ALBSNN: ultra-low latency adaptive local binary spiking neural network with accuracy loss estimator

ALBSNN: ultra-low latency adaptive local binary spiking neural network with accuracy loss estimator

Spiking neural network (SNN) is a brain-inspired model with more spatio-temporal information processing capacity and computational energy efficiency. However, with the increasing depth of SNNs, the memory problem caused by the weights of SNNs has gradually attracted attention. In this study, we prop...

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Bibliographic Details
Main Authors: Yijian Pei, Changqing Xu, Zili Wu, Yi Liu, Yintang Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural networks
binary neural networks
neuromorphic computing
sparsity
visual recognition
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1225871/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1225871/full

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