What Do EEG Foundation Models Capture from Human Brain Signals?
Clinical electroencephalogram (EEG) analysis rests on a hand-crafted feature catalog refined over decades, \emph{e.g.,} band power, connectivity, complexity, and more. Modern EEG foundation models bypass this catalog, learn directly from raw signals via self-supervised pretraining, and match or outperform feature-engineered baselines on most clinical benchmarks. Whether the two representations align is an open question, which we decompose into three sub-questions: \emph{what does the model learn
Record details
Published: 12 May 2026
Source: arXiv
Category: Research
Topics: Healthcare
Retrieved: 14 July 2026
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ethics.ai (12 May 2026), “What Do EEG Foundation Models Capture from Human Brain Signals?,” evidence record 4516, https://ethics.ai/record/4516 (originally published by arXiv).
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