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Lightweight Semantic EEG Foundation Model for Frozen Cross-Disorder Transfer

Peng, Rita Huan-Ting et al.
arXiv (All) · Papers
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machine-learningneurons-and-cognitionsignal-processing
Large-scale EEG foundation models have demonstrated promising transferability across neurological disorders, but often require millions of parameters and substantial computational resources. In this paper, we present the Universal Semantic EEG Foundation Model (USE-FM), a lightweight EEG foundation
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