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Cited by 635

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Nonoptimal Component Placement, but Short Processing Paths, due to Long-Distance Projections in Neural Systems

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Kaiser, Marcus, Hilgetag, Claus C·2006·PLoS Computational Biology
DOI 10.1371/journal.pcbi.0020095
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Abstract

It has been suggested that neural systems across several scales of organization show optimal component placement, in which any spatial rearrangement of the components would lead to an increase of total wiring. Using extensive connectivity datasets for diverse neural networks combined with spatial coordinates for network nodes, we applied an optimization algorithm to the network layouts, in order to search for wire-saving component rearrangements. We found that optimized component rearrangements could substantially reduce total wiring length in all tested neural networks. Specifically, total wiring among 95 primate (Macaque) cortical areas could be decreased by 32%, and wiring of neuronal networks in the nematode Caenorhabditis elegans could be reduced by 48% on the global level, and by 49% for neurons within frontal ganglia. Wiring length reductions were possible due to the existence of long-distance projections in neural networks. We explored the role of these projections by comparing the original networks with minimally rewired networks of the same size, which possessed only the shortest possible connections. In the minimally rewired networks, the number of processing steps along the shortest paths between components was significantly increased compared to the original networks. Additional benchmark comparisons also indicated that neural networks are more similar to network layouts that minimize the length of processing paths, rather than wiring length. These findings suggest that neural systems are not exclusively optimized for minimal global wiring, but for a variety of factors including the minimization of processing steps.

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Cited by

Metadata

Authors
Kaiser, M., & Hilgetag, C. C.
Venue
PLoS Computational Biology
Publisher
Public Library of Science (PLoS)
Published
2006-07-21
Volume
2
Issue
7
Pages
e95
ISSN
  • 1553-734X (ISSN-L)
  • 1553-7358
DOI
10.1371/journal.pcbi.0020095
OpenAlex
W2109273473
Cited by
635
References
7
FWCI
14.02
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (unspecified)

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