AI RESEARCH
LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces
arXiv CS.LG
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ArXi:2509.24302v2 Announce Type: replace Recent advances in electroencephalography (EEG) foundation models, which capture transferable EEG representations, have greatly accelerated the development of brain-computer interfaces (BCIs). However, existing approaches still struggle to incorporate language instructions as prior constraints for EEG representation learning, limiting their ability to leverage the semantic knowledge inherent in language to unify different labels and tasks.