Login / Signup

Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition.

Wenjie LiHaoyu LiXinlin SunHuicong KangShan AnGuoxin WangZhong-Ke Gao
Published in: Journal of neural engineering (2024)
Therefore, this method has great promise for improving the performance of cross-subject transfer learning in MI-based BCI systems.
Keyphrases
  • machine learning
  • finite element
  • functional connectivity
  • working memory
  • resting state
  • deep learning