{
  "id": 19404281,
  "title": "Geometry-Conditioned Hyperalignment for Generalizable EEG Decoding Across Datasets and Paradigms",
  "url": "https://urgent.news/2026/11/10/geometry-conditioned-hyperalignment-for-generalizable-eeg-decoding",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-10T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.11.08.765221v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Electroencephalography (EEG) brain-computer interfaces (BCIs) supports promising applications, but daily use remains limited by poor cross-subject and cross-dataset generalisation. That is because EEG recordings made with different electrode montages do not even share an observation space, and each subjects's leadfield projects the same neural sources onto the scalp differently. We present…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}