Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information

• Published in: Information fusion Vol. 125; p. 103501
• Main Authors: An, Sion, Kang, Myeongkyun, Kim, Soopil, Chikontwe, Philip, Shen, Li, Park, Sang Hyun
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2026
• Subjects: Brain-computer interfaces (BCI); Cross-subject; Electroencephalography (EEG); Meta-learning; Motor imagery task; Personalized; Resting state EEG; Electroencephalography (EEG); Cross-subject; Meta-learning; Resting state EEG; Brain-computer interfaces (BCI); Personalized; Motor imagery task

Electroencephalography (EEG) motor imagery (MI) classification is fundamental to understanding the neural mechanisms underlying human movement and advancing brain-computer interfaces (BCI) applications. Deep learning based approaches have demonstrated exceptional proficiency in classifying EEG signa...