{
  "id": 10208,
  "url": "https://arxiv.org/abs/2607.10931v1",
  "title": "Fast Whole-Brain, Geometry-Aware Functional Alignment for Cross-Subject Decoding",
  "summary": "Decoding brain activity is useful for characterizing brain processes and understanding the functional architecture underlying cognition. However, the inter-individual variability in brain response patterns limits the development of decoders that generalize across individuals. A solution to this challenge is functional alignment: aligning functional data across individuals before training population-level decoders. The core issue is to strike the balance between aligning functional features and p",
  "authors": "Pierre-Louis Barbarant, Florent Meyniel, Bertrand Thirion",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-12T21:37:33.000Z",
  "fetched_at": "2026-07-14T16:55:59.928Z",
  "source_slug": "arxiv-cslg",
  "source_name": "arXiv cs.LG",
  "source_homepage": "https://arxiv.org/list/cs.LG/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/10208",
  "original_url": "https://arxiv.org/abs/2607.10931v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}