{
  "id": 7076231,
  "title": "Hippocampal-cingulate dynamics in the human brain link reinforcement-learning and memory",
  "url": "https://urgent.news/2026/09/12/hippocampal-cingulate-dynamics-in-the-human-brain-link-reinforcement",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-12T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.10.750374v1?rss=1"
  },
  "original_language": "en",
  "account": "Reinforcement learning models suggest that reward calculations influence our choices, but the connection between these computations and memory in the human brain remains uncertain. To investigate this relationship, researchers combined intracranial recordings with computational modeling in neurosurgical patients who engaged in a gambling task. This task involved making decisions that yielded monetary rewards linked to trial-specific images, followed immediately by a recognition test for those images.\n\nThe computational model derived positive reward prediction errors (RPEs) that predicted later memory for each image. During feedback from the task, multivariate high-frequency brain activity revealed how RPE representations evolved across a distributed network of prefrontal cortex regions. However, during subsequent recognition, only the anterior cingulate cortex (ACC) transiently reinstated RPE representations. Successful memory recall was specifically associated with hippocampal reinstatement of these ACC representations.\n\nThe strength of hippocampal-cingulate theta synchrony during recognition correlated with RPE values, and hippocampal theta decoding accurately predicted upcoming memory choices. The findings demonstrate that the reinforcement learning computations guiding decision-making also influence memory through the intricate dynamics of hippocampal-cingulate circuitry in the human brain.",
  "summary": "Reinforcement learning (RL) models describe how reward computations shape our choices, but whether the same computations also shape memory in the human brain is unclear. To address this question, we combined multi-areal intracranial recordings with computational modeling of reward and memory in neurosurgical patients. Patients played a gambling task in which decisions yielded monetary rewards…",
  "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."
}