Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning

Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan

Research output: Journal article publication › Journal article › Academic research › peer-review

Original language	English
Pages (from-to)	1364-1376
Journal	IEEE Transactions on Cybernetics
Volume	52
Issue number	3
Publication status	Published - Mar 2022

Cite this

@article{f5d93808a6b5488487350cf7b8df9b63,

title = "Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning",

author = "Qiang Yu and Shenglan Li and Huajin Tang and Longbiao Wang and Jianwu Dang and Tan, {Kay Chen}",

year = "2022",

month = mar,

language = "English",

volume = "52",

pages = "1364--1376",

journal = "IEEE Transactions on Cybernetics",

issn = "2168-2267",

publisher = "IEEE Advancing Technology for Humanity",

number = "3",

}

TY - JOUR

T1 - Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning

AU - Yu, Qiang

AU - Li, Shenglan

AU - Tang, Huajin

AU - Wang, Longbiao

AU - Dang, Jianwu

AU - Tan, Kay Chen

PY - 2022/3

Y1 - 2022/3

M3 - Journal article

SN - 2168-2267

VL - 52

SP - 1364

EP - 1376

JO - IEEE Transactions on Cybernetics

JF - IEEE Transactions on Cybernetics

IS - 3

ER -