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

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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Bibliografski detalji
Glavni autori: Qiwei Xue, Yuntao Song, Huapeng Wu, Yong Cheng, Hongtao Pan
Format: Članak
Jezik:English
Izdano: Frontiers Media S.A. 2024-03-01
Serija:Frontiers in Neuroscience
Teme:
brain computer interface (BCI)
Electroencephalography (EEG)
motor imagery (MI)
forward-forward mechanism
Graph Convolutional Network (GCN)
Online pristup:https://www.frontiersin.org/articles/10.3389/fnins.2024.1309594/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2024.1309594/full

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