Yang Wannan, Sun Chen, Huszár Roman, Hainmueller Thomas, Buzsáki György
Center for Neural Science, New York University, NY, USA.
Neuroscience Institute, NYU Grossman School of Medicine, New York University, New York, NY, USA.
bioRxiv. 2023 Nov 8:2023.11.07.565935. doi: 10.1101/2023.11.07.565935.
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.
一种普遍的观点认为，在学习过程中，经历需要被标记以便进一步巩固。然而，选择经历以形成持久记忆的大脑机制尚不清楚。我们将大规模神经记录与降维技术的一种新应用相结合，观察到迷宫中的连续遍历由不断漂移的神经元群体跟踪，提供了所访问地点和所遇到事件（试验次数）的神经元特征。当大脑状态在奖励消耗期间发生变化时，在某些试验中会出现尖波涟漪（SPW-Rs），其独特的尖峰内容最常解码它们所发生的试验。反过来，在经历后的睡眠期间，SPW-Rs继续重放那些在清醒时的SPW-Rs期间最频繁重新激活的试验。这些发现表明，清醒时SPW-Rs的重放内容提供了一种标记机制，以选择那些被保留和巩固以供未来使用的经历方面。
