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Cited by 270

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Component placement optimization in the brain

Open access
Cherniak, C·1994·The Journal of Neuroscience

Abstract

This computational neuroanatomy study evaluates how well some formalisms derived from combinatorial network optimization theory fit as models for brain structure. At multiple hierarchical levels--brain, ganglion, individual cell--physical placement of neural components appears consistent with a single, simple goal: minimize cost of connections among the components. The most dramatic instance of this “save wire” organizing principle is reported for adjacencies among ganglia in the nematode nervous system; among about 40,000,000 alternative layout orderings, the actual ganglion placement in fact requires the least total connection length. In addition, evidence supports a component placement optimization hypothesis for positioning of individual neurons in the nematode, and also for positioning of mammalian cortical areas.

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Crossref · 10.1523/jneurosci.14-04-02418.1994

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Metadata

Authors
Cherniak, C.
Venue
The Journal of Neuroscience
Published
1994-04-01
Volume
14
Issue
4
Pages
2418-2427
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2163071595
Cited by
270
References
2
FWCI
2.32
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Component placement optimization in the brain. https://app.cochat.ai/papers/10.1523/jneurosci.14-04-02418.1994
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Cherniak, C. (1994). Component placement optimization in the brain. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.14-04-02418.1994

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.