首页> Frontiers in neuroscience> A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition.

A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition.

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第一作者： Yiwei,Dai

第一单位： School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China.;School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China.

作者： Yiwei,Dai ^[1] ; Zhengkui,Chen ^[2] ; Tian-Ao,Cao ^[3] ; Hongyou,Zhou ^[2] ; Min,Fang ^[2] ; Yanyun,Dai ^[4] ; Lurong,Jiang ^[4] ; Jijun,Tong ^[5]

作者单位： School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China.;School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China. ^[1] School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China. ^[2] School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China.;School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, China.;Weihai Sunfull Electronics Group Co., Ltd., Weihai, China. ^[3] School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China. ^[4] School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China.;Zhejiang Key Laboratory of Research and Translation for Kidney Deficiency-Stasis-Turbidity Disease, Hangzhou, China. ^[5]

关键词 brain-computer interface convolutional neural network dual-feature extraction branch feature fusion steady-state visual evoked potentials

DOI 10.3389/fnins.2025.1679451

PMID 41089660

发布时间 2025-10-17

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