Direct training high-performance spiking neural networks for object recognition and detection

Direct training high-performance spiking neural networks for object recognition and detection

IntroductionThe spiking neural network (SNN) is a bionic model that is energy-efficient when implemented on neuromorphic hardwares. The non-differentiability of the spiking signals and the complicated neural dynamics make direct training of high-performance SNNs a great challenge. There are numerous...

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Bibliographic Details
Main Authors:	Hong Zhang, Yang Li, Bin He, Xiongfei Fan, Yue Wang, Yu Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-08-01
Series:	Frontiers in Neuroscience
Subjects:	spiking neural networks gate residual learning attention spike decoder spiking RetinaNet object recognition object detection
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1229951/full

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