{
  "id": 4566,
  "url": "https://arxiv.org/abs/2605.10337v1",
  "title": "CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings",
  "summary": "Intracranial electrocorticography (ECoG) offers high-signal-to-noise access to cortical activity for brain-computer interfaces, yet limited per-patient data has led most prior work to rely on small, subject-specific decoders that neglect information shared across patients. We investigate whether large pretrained scalp-EEG foundation models (EEG FMs) can be adapted to ECoG, enabling cross-patient learning and competitive decoding performance while calibrating to a held-out patient in 10-30 minute",
  "authors": "Liuyin Yang, Qiang Sun, Bob Van Dyck, Eva Calvo Merino, Marc M. Van Hulle",
  "category": "research",
  "topics": "healthcare,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-11T10:40:42.000Z",
  "fetched_at": "2026-07-14T16:31:08.352Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4566",
  "original_url": "https://arxiv.org/abs/2605.10337v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}