CoMET, a contrastive-masked EEG transformer pre-trained on 1.9 million samples, achieves state-of-the-art linear-probe results on ten BCI and clinical EEG datasets.
2016) consists of EEG recordings from 35 subjects engaged in a 40- class steady-state visual evoked potential (SSVEP) task
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CoMET: A Contrastive-Masked Brain Foundation Model for Universal EEG Representation
CoMET, a contrastive-masked EEG transformer pre-trained on 1.9 million samples, achieves state-of-the-art linear-probe results on ten BCI and clinical EEG datasets.