Graph neural network based on brain inspired forward-forward mechanism for motor imagery classification in brain-computer interfaces

IntroductionWithin the development of brain-computer interface (BCI) systems, it is crucial to consider the impact of brain network dynamics and neural signal transmission mechanisms on electroencephalogram-based motor imagery (MI-EEG) tasks. However, conventional deep learning (DL) methods cannot r...

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書誌詳細

出版年:	Frontiers in Neuroscience
主要な著者:	Qiwei Xue, Yuntao Song, Huapeng Wu, Yong Cheng, Hongtao Pan
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2024-03-01
主題:	brain computer interface (BCI) Electroencephalography (EEG) motor imagery (MI) forward-forward mechanism Graph Convolutional Network (GCN)
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1309594/full