Suppr超能文献

一种通过感知转变将过去和未来学习联系起来的电路机制。

A circuit mechanism linking past and future learning through shifts in perception.

机构信息

Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton BN1 9QG, UK.

出版信息

Sci Adv. 2023 Mar 24;9(12):eadd3403. doi: 10.1126/sciadv.add3403.

Abstract

Long-term memory formation is energetically costly. Neural mechanisms that guide an animal to identify fruitful associations therefore have important survival benefits. Here, we elucidate a circuit mechanism in , which enables past memory to shape new memory formation through changes in perception. Specifically, strong classical conditioning drives a positive shift in perception that facilitates the robust learning of a subsequent and otherwise ineffective weak association. Circuit dissection approaches reveal the neural control network responsible, characterized by a mutual inhibition motif. This both sets perceptual state and acts as the master controller for gating new learning. Pharmacological circuit manipulation in vivo fully substitutes for strong paradigm learning, shifting the network into a more receptive state to enable subsequent weak paradigm learning. Thus, perceptual change provides a conduit to link past and future memory storage. We propose that this mechanism alerts animals to learning-rich periods, lowering the threshold for new memory acquisition.

摘要

长期记忆的形成需要耗费大量能量。因此,指导动物识别有益关联的神经机制具有重要的生存优势。在这里,我们阐明了 在 中一种通过改变感知来塑造新记忆形成的回路机制。具体来说,强烈的经典条件作用会导致感知的积极转变,从而促进后续的、否则无效的弱关联的强烈学习。电路剖析方法揭示了负责的神经控制网络,其特征是一种相互抑制模式。这既设定了感知状态,又充当了新学习的主控制器。体内药理学电路操作完全替代了强烈的范式学习,将网络转变为更易接受的状态,从而实现随后的弱范式学习。因此,感知变化为连接过去和未来记忆存储提供了一个渠道。我们提出,这种机制提醒动物注意学习丰富的时期,降低新记忆获取的阈值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/985a/10038338/d2b67aa2974d/sciadv.add3403-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验