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在多处理器网络模型中研究皮质结构的体积效率。

Examining the volume efficiency of the cortical architecture in a multi-processor network model.

作者信息

Ruppin E, Schwartz E L, Yeshurun Y

机构信息

Department of Computer Science, School of Mathematical Sciences, Tel Aviv University, Ramat Aviv, Israel.

出版信息

Biol Cybern. 1993;70(1):89-94. doi: 10.1007/BF00202570.

DOI:10.1007/BF00202570
PMID:8312401
Abstract

The convoluted form of the sheet-like mammalian cortex naturally raises the question whether there is a simple geometrical reason for the prevalence of cortical architecture in the brains of higher vertebrates. Addressing this question, we present a formal analysis of the volume occupied by a massively connected network or processors (neurons) and then consider the pertaining cortical data. Three gross macroscopic features of cortical organization are examined: the segregation of white and gray matter, the circumferential organization of the gray matter around the white matter, and the folded cortical structure. Our results testify to the efficiency of cortical architecture.

摘要

哺乳动物大脑皮层呈片状且错综复杂,这自然引发了一个问题:高等脊椎动物大脑中皮层结构普遍存在是否有一个简单的几何原因。为了解决这个问题,我们对一个大规模连接的网络或处理器(神经元)所占据的体积进行了形式分析,然后考虑相关的皮层数据。我们研究了皮层组织的三个总体宏观特征:白质和灰质的分离、灰质围绕白质的圆周组织以及折叠的皮层结构。我们的结果证明了皮层结构的效率。

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