Examining the volume efficiency of the cortical architecture in a multi-processor network model
Biological CyberneticsPublished 1 November 1993
Eytan Ruppin, Eli Schwartz, Yaara Yeshurun
Citations46
SJR quartileQ2
SJR score0.52
SNIP0.78
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TL;DR
This work presents a formal analysis of the volume occupied by a massively connected network or processors (neurons) and then considers the pertaining cortical data, testifying to the efficiency of cortical architecture.
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.
Keywords
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