{
  "id": 17912072,
  "title": "Hippocampal consolidation without replay in fully fine-tuned networks",
  "url": "https://urgent.news/2026/11/01/hippocampal-consolidation-without-replay-in-fully-fine-tuned-networks",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-01T14:32:16.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.01952v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Networks that keep learning overwrite what they know. Prevailing remedies replay stored data, distil from old models or freeze the backbone. The brain suggests a different division of labour: the hippocampus indexes where experience lies in cortex while the cortex keeps learning. We show that this division lets a fully trainable network keep learning without cross-task replay, a teacher or…",
  "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."
}