{
  "id": 15932436,
  "title": "NED-Net: an annotation-training loop for rodent EEG event detection",
  "url": "https://urgent.news/2026/10/21/ned-net-an-annotation-training-loop-for-rodent-eeg-event-detection",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-21T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.15.759362v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Long-term EEG monitoring is central to rodent epilepsy research, and manual review is laborious because recordings span hundreds to tens of thousands of animal-hours. Published automated detectors perform well on their development datasets but are typically fixed models that may not adapt to another laboratory's electrodes, animals, or noise conditions. We introduce NED-Net, open-source software…",
  "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."
}