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重新评估持续神经活动在短期记忆中的作用。

Reevaluating the Role of Persistent Neural Activity in Short-Term Memory.

机构信息

Department of Neurobiology, The University of Chicago, Chicago, IL, USA.

Department of Neurobiology, The University of Chicago, Chicago, IL, USA.

出版信息

Trends Cogn Sci. 2020 Mar;24(3):242-258. doi: 10.1016/j.tics.2019.12.014. Epub 2020 Jan 29.

DOI:10.1016/j.tics.2019.12.014
PMID:32007384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7288241/
Abstract

A traditional view of short-term working memory (STM) is that task-relevant information is maintained 'online' in persistent spiking activity. However, recent experimental and modeling studies have begun to question this long-held belief. In this review, we discuss new evidence demonstrating that information can be 'silently' maintained via short-term synaptic plasticity (STSP) without the need for persistent activity. We discuss how the neural mechanisms underlying STM are inextricably linked with the cognitive demands of the task, such that the passive maintenance and the active manipulation of information are subserved differently in the brain. Together, these recent findings point towards a more nuanced view of STM in which multiple substrates work in concert to support our ability to temporarily maintain and manipulate information.

摘要

短期工作记忆(STM)的传统观点认为,与任务相关的信息通过持续的尖峰活动在“在线”中保持。然而,最近的实验和建模研究开始质疑这一长期以来的观点。在这篇综述中,我们讨论了新的证据,这些证据表明信息可以通过短期突触可塑性(STSP)“静默”地保持,而不需要持续的活动。我们讨论了支持 STM 的神经机制与任务的认知需求是如何不可分割地联系在一起的,以至于信息的被动维持和主动操作在大脑中是不同的。这些最近的发现共同指向了对 STM 的更细致的看法,即多个基质协同工作,以支持我们暂时维持和操作信息的能力。

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1
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2
A deep learning framework for neuroscience.深度学习在神经科学中的应用框架。
Nat Neurosci. 2019 Nov;22(11):1761-1770. doi: 10.1038/s41593-019-0520-2. Epub 2019 Oct 28.
3
Coexisting representations of sensory and mnemonic information in human visual cortex.人类视觉皮层中感觉和记忆信息的共存表征。
短期记忆和静息状态下的额中线θ波与跨频率耦合
Neuroimage Rep. 2022 Aug 25;2(4):100124. doi: 10.1016/j.ynirp.2022.100124. eCollection 2022 Dec.
4
Behaviorally Irrelevant Feature Matching Increases Neural and Behavioral Working Memory Readout.行为上不相关的特征匹配增强神经和行为工作记忆读出。
Psychophysiology. 2025 Feb;62(2):e70020. doi: 10.1111/psyp.70020.
5
Level of M1 GABAB predicts micro offline consolidation of motor learning during wakefulness.M1型GABAB的水平可预测清醒状态下运动学习的微离线巩固。
NPJ Sci Learn. 2025 Feb 23;10(1):10. doi: 10.1038/s41539-025-00299-1.
6
Advancing working memory research through cortico-cortical transcranial magnetic stimulation.通过皮质-皮质经颅磁刺激推进工作记忆研究。
Front Hum Neurosci. 2024 Dec 9;18:1504783. doi: 10.3389/fnhum.2024.1504783. eCollection 2024.
7
The synaptic correlates of serial position effects in sequential working memory.序列工作记忆中系列位置效应的突触关联
Front Comput Neurosci. 2024 Jul 15;18:1430244. doi: 10.3389/fncom.2024.1430244. eCollection 2024.
8
Static and dynamic coding in distinct cell types during associative learning in the prefrontal cortex.前额叶皮层联想学习过程中不同细胞类型的静态和动态编码。
Nat Commun. 2023 Dec 14;14(1):8325. doi: 10.1038/s41467-023-43712-2.
9
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Nat Commun. 2023 Nov 29;14(1):7837. doi: 10.1038/s41467-023-43257-4.
10
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Front Behav Neurosci. 2023 Oct 17;17:1213435. doi: 10.3389/fnbeh.2023.1213435. eCollection 2023.
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4
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5
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6
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7
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8
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9
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Nat Neurosci. 2019 Feb;22(2):275-283. doi: 10.1038/s41593-018-0314-y. Epub 2019 Jan 24.