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果蝇中央复合体网络中的拓扑映射及其信号路由

The Topographical Mapping in Drosophila Central Complex Network and Its Signal Routing.

作者信息

Chang Po-Yen, Su Ta-Shun, Shih Chi-Tin, Lo Chung-Chuan

机构信息

Institute of Systems Neuroscience, National Tsing Hua UniversityHsinchu, Taiwan.

Department of Applied Physics, Tunghai UniversityTaichung, Taiwan.

出版信息

Front Neuroinform. 2017 Apr 10;11:26. doi: 10.3389/fninf.2017.00026. eCollection 2017.

Abstract

Neural networks regulate brain functions by routing signals. Therefore, investigating the detailed organization of a neural circuit at the cellular levels is a crucial step toward understanding the neural mechanisms of brain functions. To study how a complicated neural circuit is organized, we analyzed recently published data on the neural circuit of the central complex, a brain structure associated with a variety of functions including sensory integration and coordination of locomotion. We discovered that, except for a small number of "atypical" neuron types, the network structure formed by the identified 194 neuron types can be described by only a few simple mathematical rules. Specifically, the topological mapping formed by these neurons can be reconstructed by applying a generation matrix on a small set of initial neurons. By analyzing how information flows propagate with or without the atypical neurons, we found that while the general pattern of signal propagation in the central complex follows the simple topological mapping formed by the "typical" neurons, some atypical neurons can substantially re-route the signal pathways, implying specific roles of these neurons in sensory signal integration. The present study provides insights into the organization principle and signal integration in the central complex.

摘要

神经网络通过信号路由来调节大脑功能。因此,在细胞水平上研究神经回路的详细组织是理解大脑功能神经机制的关键一步。为了研究复杂的神经回路是如何组织的,我们分析了最近发表的关于中央复合体神经回路的数据,中央复合体是一种与包括感觉整合和运动协调在内的多种功能相关的脑结构。我们发现,除了少数“非典型”神经元类型外,由已识别的194种神经元类型形成的网络结构仅能用几条简单的数学规则来描述。具体来说,这些神经元形成的拓扑映射可以通过对一小部分初始神经元应用生成矩阵来重建。通过分析信息流在有无非典型神经元的情况下如何传播,我们发现虽然中央复合体中信号传播的一般模式遵循由“典型”神经元形成的简单拓扑映射,但一些非典型神经元可以显著地重新规划信号通路,这意味着这些神经元在感觉信号整合中具有特定作用。本研究为中央复合体的组织原理和信号整合提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad0a/5385387/8347197adfdc/fninf-11-00026-g0001.jpg

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