,RSVP-BCI

Xujin Li1, Wei Wei2, Shuang Qiu3

  • 1Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Future Technology, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China.

概括

这项研究引入了一种新的脑计算机接口 (BCI) 方法,使用脑电图 (EEG) 信号. TSformer-SA模型提高了目标检索精度,并减少了新用户的设置时间.