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Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays

Overview of attention for article published in PLoS Computational Biology, December 2005
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Title
Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays
Published in
PLoS Computational Biology, December 2005
DOI 10.1371/journal.pcbi.0010078
Pubmed ID
Authors

Quan Wen, Dmitri B Chklovskii

Abstract

A ubiquitous feature of the vertebrate anatomy is the segregation of the brain into white and gray matter. Assuming that evolution maximized brain functionality, what is the reason for such segregation? To answer this question, we posit that brain functionality requires high interconnectivity and short conduction delays. Based on this assumption we searched for the optimal brain architecture by comparing different candidate designs. We found that the optimal design depends on the number of neurons, interneuronal connectivity, and axon diameter. In particular, the requirement to connect neurons with many fast axons drives the segregation of the brain into white and gray matter. These results provide a possible explanation for the structure of various regions of the vertebrate brain, such as the mammalian neocortex and neostriatum, the avian telencephalon, and the spinal cord.

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Mendeley readers

The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 3%
United States 5 3%
Germany 4 2%
Spain 2 1%
France 1 <1%
Belarus 1 <1%
Australia 1 <1%
Greece 1 <1%
Hungary 1 <1%
Other 0 0%
Unknown 178 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 23%
Student > Ph. D. Student 41 21%
Student > Master 22 11%
Student > Bachelor 22 11%
Professor 17 9%
Other 29 15%
Unknown 22 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 27%
Neuroscience 34 17%
Computer Science 18 9%
Engineering 13 7%
Psychology 12 6%
Other 40 20%
Unknown 28 14%