Examining the volume efficiency of the cortical architecture in a multi-processor network model.
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.
Ruppin
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E
Department of Computer Science, School of Mathematical Sciences, Tel Aviv University, Ramat Aviv, Israel.
Schwartz
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EL
Yeshurun
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Y
D000818:Animals; D002540:Cerebral Cortex / Q000033:anatomy & histology* / Q000502:physiology*; D003491:Cybernetics; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer