Article

Unsupervised seizure annotation and detection with neural dynamic divergence

2026-02-17

Abstract excerpt

Annotating seizure onset and spread in intracranial EEG is essential for epilepsy surgical planning, yet manual annotation is unreliable and cannot scale to large datasets. We introduce Neural Dynamic Divergence (NDD), an unsupervised framework that detects seizure activity by measuring deviation from patient-specific baseline neural dynamics using autoregressive models. NDD requires no labeled training data and a...

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Literature Corpus work: f8cd748a-2a96-52c6-811e-38283c700324
DOI: 10.64898/2026.02.15.26346325

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