An improved self-supervised learning for EEG classification
Motor Imagery EEG (MI-EEG) classification plays an important role in different Brain-Computer Interface (BCI) systems.Recently, deep learning has been widely used in the MI-EEG classification tasks, read more however this technology requires a large number of labeled training samples which are difficult to obtain, and insufficient labeled training