记忆巩固
海马结构
心理学
神经科学
海马体
选择(遗传算法)
合并(业务)
睡眠(系统调用)
计算机科学
认知心理学
人工智能
操作系统
会计
业务
作者
Weijia Yang,Chen Sun,Roman Huszár,Thomas Hainmueller,György Buzsáki
标识
DOI:10.1101/2023.11.07.565935
摘要
A general wisdom is that experiences need to be tagged during learning for further consolidation. However, brain mechanisms that select experiences for lasting memory are not known. Combining large-scale neural recordings with a novel application of dimensionality reduction techniques, we observed that successive traversals in the maze were tracked by continuously drifting populations of neurons, providing neuronal signatures of both places visited and events encountered (trial number). When the brain state changed during reward consumption, sharp wave ripples (SPW-Rs) occurred on some trials and their unique spike content most often decoded the trial in which they occurred. In turn, during post-experience sleep, SPW-Rs continued to replay those trials that were reactivated most frequently during awake SPW-Rs. These findings suggest that replay content of awake SPW-Rs provides a tagging mechanism to select aspects of experience that are preserved and consolidated for future use.
科研通智能强力驱动
Strongly Powered by AbleSci AI