南方科技大学知识苑(SUSTech KC): Evolutionary spiking neural networks: a survey

题名	Evolutionary spiking neural networks: a survey
作者	Shen, Shuaijie1,2 ; Zhang, Rui1,2 ; Wang, Chao1,2 ; Huang, Renzhuo1,2 ; Tuerhong, Aiersi 2,3; Guo, Qinghai 2; Lu, Zhichao 4; Zhang, Jianguo1 ; Leng, Luziwei 2
通讯作者	Zhang, Jianguo; Leng, Luziwei
发表日期	2024-06-01
DOI	10.1007/s41965-024-00156-x
发表期刊	JOURNAL OF MEMBRANE COMPUTING 影响因子和分区
ISSN	2523-8906
EISSN	2523-8914
摘要	Spiking neural networks (SNNs) are gaining increasing attention as potential computationally efficient alternatives to traditional artificial neural networks (ANNs). However, the unique information propagation mechanisms and the complexity of SNN neuron models pose challenges for adopting traditional methods developed for ANNs to SNNs. These challenges include both weight learning and architecture design. While surrogate gradient learning has shown some success in addressing the former challenge, the latter remains relatively unexplored. Recently, a novel paradigm utilizing evolutionary computation methods has emerged to tackle these challenges. This approach has resulted in the development of a variety of energy-efficient and high-performance SNNs across a wide range of machine learning benchmarks. In this paper, we present a survey of these works and initiate discussions on potential challenges ahead.
关键词	Spiking neural networks Evolutionary algorithm Neural architecture search
相关链接	[来源记录]
收录类别	ESCI ; EI
语种	英语
学校署名	第一 ; 通讯
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
WOS记录号	WOS:001248571000001
出版者	SPRINGERNATURE
来源库	Web of Science
引用统计
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/787761
专题	工学院_计算机科学与工程系
作者单位	1.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen, Peoples R China 2.ACS Lab, Huawei Technol, Shenzhen, Peoples R China 3.Chongqing Univ, Coll Math & Stat, Chongqing, Peoples R China 4.City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
第一作者单位	计算机科学与工程系
通讯作者单位	计算机科学与工程系
第一作者的第一单位	计算机科学与工程系
推荐引用方式 GB/T 7714	Shen, Shuaijie,Zhang, Rui,Wang, Chao,et al. Evolutionary spiking neural networks: a survey[J]. JOURNAL OF MEMBRANE COMPUTING,2024.
APA	Shen, Shuaijie.,Zhang, Rui.,Wang, Chao.,Huang, Renzhuo.,Tuerhong, Aiersi.,...&Leng, Luziwei.(2024).Evolutionary spiking neural networks: a survey.JOURNAL OF MEMBRANE COMPUTING.
MLA	Shen, Shuaijie,et al."Evolutionary spiking neural networks: a survey".JOURNAL OF MEMBRANE COMPUTING (2024).