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外侧前额叶皮层中工作记忆和运动准备的最小依赖活动子空间。

Minimally dependent activity subspaces for working memory and motor preparation in the lateral prefrontal cortex.

机构信息

Institute of Molecular and Cell Biology, A*STAR, Singapore, Singapore.

The N1 Institute for Health, National University of Singapore (NUS), Singapore, Singapore.

出版信息

Elife. 2020 Sep 9;9:e58154. doi: 10.7554/eLife.58154.

DOI:10.7554/eLife.58154
PMID:32902383
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7481007/
Abstract

The lateral prefrontal cortex is involved in the integration of multiple types of information, including working memory and motor preparation. However, it is not known how downstream regions can extract one type of information without interference from the others present in the network. Here, we show that the lateral prefrontal cortex of non-human primates contains two minimally dependent low-dimensional subspaces: one that encodes working memory information, and another that encodes motor preparation information. These subspaces capture all the information about the target in the delay periods, and the information in both subspaces is reduced in error trials. A single population of neurons with mixed selectivity forms both subspaces, but the information is kept largely independent from each other. A bump attractor model with divisive normalization replicates the properties of the neural data. These results provide new insights into neural processing in prefrontal regions.

摘要

外侧前额叶皮层参与多种类型信息的整合,包括工作记忆和运动准备。然而,目前尚不清楚下游区域如何在不干扰网络中其他信息的情况下提取一种类型的信息。在这里,我们表明,非人类灵长类动物的外侧前额叶皮层包含两个最小依赖的低维子空间:一个编码工作记忆信息,另一个编码运动准备信息。这些子空间捕获了延迟期间目标的所有信息,并且两个子空间中的信息在错误试验中都会减少。具有混合选择性的单个神经元群体形成了这两个子空间,但信息彼此之间保持很大程度的独立性。具有除法归一化的凸起吸引子模型复制了神经数据的特性。这些结果为前额叶区域的神经处理提供了新的见解。

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3
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5
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8
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4
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7
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