An emergent neural coactivity code for dynamic memory.
An emergent neural coactivity code for dynamic memory.
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DOI：
10.1038/s41593-021-00820-w
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发表时间：
2021-05
影响因子：
25
通讯作者：
Dupret D
中科院分区：
文献类型：
--
作者：
El-Gaby M;Reeve HM;Lopes-Dos-Santos V;Campo-Urriza N;Perestenko PV;Morley A;Strickland LAM;Lukács IP;Paulsen O;Dupret D
外部变量的神经相关性提供了指导动物行为的潜在内部代码。值得注意的是，神经活动的一阶特征，如单神经元放电率，已经涉及编码信息。然而，高阶特征（如多神经元协同活动）在多大程度上在编码信息中发挥主要作用，或在支持单神经元代码中发挥次要作用仍不清楚。在这里，我们表明，毫秒的时间尺度之间的海马CA1区神经元的协同活动区别不同的毫秒生活的行为意外事件。这种偶然性辨别与单个神经元的调谐无关，而是它们的共同活动的一种涌现特性。学习后离线重新激活应急识别模式，它们的恢复预测了逐个试验的记忆表现。此外，在学习过程中选择性地抑制来自上游CA3区域的输入，会损害CA1中基于共活动的偶然信息和随后的动态记忆提取。这些研究结果确定协同活动作为神经放电的主要特征，区分不同的行为相关变量，并支持记忆检索。
Neural correlates of external variables provide potential internal codes that guide an animal’s behaviour. Notably, first-order features of neural activity, such as single-neuron firing rates, have been implicated in encoding information. However, the extent to which higher-order features, such as multi-neuron coactivity, play primary roles in encoding information or secondary roles in supporting single-neuron codes remains unclear. Here we show that millisecond-timescale coactivity amongst hippocampal CA1 neurons discriminates distinct millisecond-lived behavioural contingencies. This contingency discrimination was unrelated to the tuning of individual neurons but instead an emergent property of their coactivity. Contingency discriminating patterns were reactivated offline after learning and their reinstatement predicted trial-by-trial memory performance. Moreover, optogenetic suppression of inputs from the upstream CA3 region selectively during learning impaired coactivity-based contingency information in CA1 and subsequent dynamic memory retrieval. These findings identify coactivity as a primary feature of neural firing that discriminates distinct behaviourally-relevant variables and supports memory retrieval.
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影响因子：
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作者：
El-Gaby M;Zhang Y;Wolf K;Schwiening CJ;Paulsen O;Shipton OA
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Shipton OA
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