A multi-source classification framework with invariant representation reconstruction for dual-target RSVP-BCI tasks in cross-subject scenario

The Rapid Serial Visual Presentation (RSVP) is a widely used paradigm for target detection tasks in Brain-Computer Interface (BCI) by decoding Electroencephalogram (EEG) signals. One major issue concerns the time-consuming calibration in cross-subject scenarios, which worsens in dual-target RSVP-BCI...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 620; p. 129239
Main Authors:	Chen, Hongying, Wang, Dan, Xu, Meng, Chen, Jiaming, Zhang, Yueqi, Chen, Yuanfang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2025
Subjects:	Autoencoder Brain-Computer Interface Calibration RSVP Transfer Learning Brain-Computer Interface Transfer Learning Calibration Autoencoder RSVP
ISSN:	0925-2312
Online Access:	Get full text
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