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Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling.

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第一作者： Jing,Zhang

第一单位： School of Life and Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

作者： Jing,Zhang ^[1] ; Tingyi,Tan ^[1] ; Yuhao,Jiang ^[1] ; Congming,Tan ^[2] ; Liangliang,Hu ^[2] ; Daowen,Xiong ^[1] ; Yikang,Ding ^[1] ; Guowei,Huang ^[1] ; Junjie,Qin ^[1] ; Yin,Tian ^[3]

作者单位： School of Life and Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China. ^[1] College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China. ^[2] School of Life and Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; Institute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; Guangyang Bay Laboratory, Chongqing Institute for Brain and Intelligence, Chongqing 400064, China. Electronic address: tianyin@cqupt.edu.cn. ^[3]

关键词 Cross-frequency coupling Delayed matching-to-sample EEG decoding Interpretability Sinc convolution layer Working memory

医学主题词记忆, 短时(Memory, Short-Term);人类(Humans);脑电描记术(Electroencephalography);认知(Cognition);脑(Brain);模型, 神经学(Models, Neurological)

DOI 10.1016/j.brainresbull.2025.111206

PMID 39824230

发布时间 2025-05-02

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