Yuqiu Deng

ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models

Electroencephalography (EEG), with its broad range of applications, necessitates models that can generalize effectively across various tasks and datasets. Large EEG Models (LEMs) address this by pretraining encoder-centric architectures on large-scale unlabeled data to extract universal representati…