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Reactivation predicts the consolidation of unbiased long-term cognitive maps
Nature Neuroscience ( IF 25.0 ) Pub Date : 2021-10-18 , DOI: 10.1038/s41593-021-00920-7
Andres D Grosmark 1 , Fraser T Sparks 1 , Matt J Davis 2 , Attila Losonczy 1
Affiliation  

Spatial memories that can last a lifetime are thought to be encoded during ‘online’ periods of exploration and subsequently consolidated into stable cognitive maps through their ‘offline’ reactivation. However, the mechanisms and computational principles by which offline reactivation stabilize long-lasting spatial representations remain poorly understood. Here, we employed simultaneous fast calcium imaging and electrophysiology to track hippocampal place cells over 2 weeks of online spatial reward learning behavior and offline resting. We describe that recruitment to persistent network-level offline reactivation of spatial experiences in mice predicts the future representational stability of place cells days in advance of their online reinstatement. Moreover, while representations of reward-adjacent locations are generally more stable across days, offline-reactivation-related stability is, conversely, most prominent for reward-distal locations. Thus, while occurring on the tens of milliseconds timescale, offline reactivation is uniquely associated with the stability of multiday representations that counterbalance the overall reward-adjacency bias, thereby predicting the stabilization of cognitive maps that comprehensively reflect entire underlying spatial contexts. These findings suggest that post-learning offline-related memory consolidation plays a complimentary and computationally distinct role in learning compared to online encoding.



中文翻译:

重新激活预测无偏见的长期认知地图的巩固

可以持续一生的空间记忆被认为是在“在线”探索期间编码的,随后通过“离线”重新激活被整合到稳定的认知地图中。然而,离线重新激活稳定持久空间表征的机制和计算原理仍然知之甚少。在这里,我们采用同步快速钙成像和电生理学来跟踪海马体位置细胞超过 2 周的在线空间奖励学习行为和离线休息。我们描述了对小鼠空间体验的持续网络级离线重新激活的招募,可以在其在线恢复前几天预测位置细胞的未来表征稳定性。此外,虽然奖励相邻位置的表示通常在几天内更稳定,相反,与离线重新激活相关的稳定性对于奖励远端位置最为突出。因此,虽然发生在几十毫秒的时间尺度上,但离线重新激活与抵消整体奖励邻接偏差的多日表征的稳定性具有独特的相关性,从而预测了全面反映整个潜在空间背景的认知图的稳定性。这些发现表明,与在线编码相比,学习后离线相关的记忆巩固在学习中起着互补的和计算上截然不同的作用。离线重新激活与抵消整体奖励邻接偏差的多日表征的稳定性唯一相关,从而预测全面反映整个潜在空间背景的认知地图的稳定性。这些发现表明,与在线编码相比,学习后离线相关的记忆巩固在学习中起着互补的和计算上截然不同的作用。离线重新激活与抵消整体奖励邻接偏差的多日表征的稳定性唯一相关,从而预测全面反映整个潜在空间背景的认知地图的稳定性。这些发现表明,与在线编码相比,学习后离线相关的记忆巩固在学习中起着互补的和计算上截然不同的作用。

更新日期:2021-10-18
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