STCA-SNN: self-attention-based temporal-channel joint attention for spiking neural networks.

Wu, Xiyan; Song, Yong; Zhou, Ya; Jiang, Yurong; Bai, Yashuo; Li, Xinyi; Yang, Xin

Wu, Xiyan; Song, Yong; Zhou, Ya; Jiang, Yurong; Bai, Yashuo; Li, Xinyi; Yang, Xin.

Affiliation

Wu X; School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.
Song Y; School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.
Zhou Y; School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.
Jiang Y; School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.
Bai Y; School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.
Li X; School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.
Yang X; School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.

Front Neurosci ; 17: 1261543, 2023.

Article in En | MEDLINE | ID: mdl-38027490

Key words

event streams; neuromorphic computing; self-attention; spiking neural networks; temporal-channel

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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Neurosci Year: 2023 Document type: Article Affiliation country: China Country of publication: Suiza

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