{
  "id": 16679717,
  "title": "Encoding activity predicts distinct recognition signals during working and long-term memory in the human hippocampus",
  "url": "https://urgent.news/2026/10/26/encoding-activity-predicts-distinct-recognition-signals-during",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-26T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.21.759719v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Neurocomputational models predict that episodic memories are represented by sparse, pattern-separated hippocampal codes. Recognition within working memory capacity may instead rely on overlapping cortical codes. We analyzed human intracranial microwire recordings during a continuous recognition task to test whether retrieval demand and spiking activity at encoding determine which neural signal is…",
  "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."
}