Kunkun Zhang

A Novel Self-Supervised Contrastive Learning Framework for Masked EEG Motor Imagery Modeling

Electroencephalography (EEG) is vital for brain-computer interfaces (BCIs) due to its non-invasive approach and high temporal resolution data capabilities, amid challenges such as data scarcity and the need for extensive labeling. Significant inter-individual variability in EEG signals further limit…