| 1 | A review of deep learning methods for cross-subject rapid serial visual presentation detection in World Robot Contest 2022显示文摘The rapid serial visual presentation(RSVP)paradigm has garnered considerable attention in brain–computer interface(BCI)systems.Studies have focused on using cross-subject electroencephalogram data to train cross-subject RSVP detection models.In this study,we performed a comparative analysis of the top 5 deep learning algorithms used by various teams in the event-related potential competition of the BCI Controlled Robot Contest in World Robot Contest 2022.We evaluated these algorithms on the final data set and compared their performance in cross-subject RSVP detection.The results revealed that deep learning models can achieve excellent results with appropriate training methods when applied to cross-subject detection tasks.We discussed the limitations of existing deep learning algorithms in cross-subject RSVP detection and highlighted potential research directions. | Zehui Wang Hongfei Zhang Zhouyu Ji Yuliang Yang Hongtao Wang | 2023 | Brain Science Advances2023，9，3： | 0 |
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