AI RESEARCH
DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations
arXiv CS.AI
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ArXi:2512.19097v3 Announce Type: replace-cross Intracranial EEG (iEEG) provides direct, millisecond-scale recordings of human neural activity, but reusable representation learning is difficult because electrode layouts, anatomical coverage, referencing schemes, and recording conditions vary across patients and centers. We