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计算研究前额叶皮层中不同亚型中间神经元对信息维持的贡献。

Computational Investigation of Contributions from Different Subtypes of Interneurons in Prefrontal Cortex for Information Maintenance.

机构信息

Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.

University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Sci Rep. 2020 Mar 13;10(1):4671. doi: 10.1038/s41598-020-61647-2.

Abstract

Interneurons play crucial roles in neocortex associated with high-level cognitive functions; however, the specific division of labor is still under investigation. Interneurons are exceptionally diverse in their morphological appearance and functional properties. In this study, we modify a prefrontal multicolumn circuit in which five subtypes of inhibitory interneurons play distinct roles in the maintenance of transient information. These interneurons are classified according to the extending range of axonal projections. Our work simplifies the division of labor between different types of interneurons for the maintenance of information and the principle of functional redundancy of the brain from the perspective of computational modeling. This model presents a framework to understand the cooperation between different interneurons in a recurrent cortical circuit.

摘要

中间神经元在与高级认知功能相关的新皮层中发挥着至关重要的作用;然而,其具体的分工仍在研究之中。中间神经元在形态外观和功能特性上具有极大的多样性。在这项研究中,我们修改了前额叶多列回路,其中五种抑制性中间神经元亚型在维持短暂信息方面发挥着不同的作用。这些中间神经元根据轴突投射的延伸范围进行分类。我们的工作从计算建模的角度简化了不同类型的中间神经元在信息维持和大脑功能冗余原则方面的分工。该模型为理解递归皮质回路中不同中间神经元之间的合作提供了一个框架。

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