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Epilepsy patients exhibit substantially denser learned latent dynamics in personalized EEG models, even when predictive accuracy is identical to controls.
A 1.46M parameter EEG foundation model matches larger counterparts in cross-disorder transfer, unlocking efficient clinical AI.