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

• 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

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...