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Power-law for axon diameters at branch point

BACKGROUND: Axon calibers vary widely among different animals, neuron classes, and even within the same neuron. What determines the diameter of axon branches? RESULTS: We pursue the hypothesis that the axon caliber has evolved to minimize signal propagation delays, while keeping arbor volume to a mi...

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Detalles Bibliográficos
Autores principales: Chklovskii, Dmitri B, Stepanyants, Armen
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC201017/
https://www.ncbi.nlm.nih.gov/pubmed/12946281
http://dx.doi.org/10.1186/1471-2202-4-18
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author Chklovskii, Dmitri B
Stepanyants, Armen
author_facet Chklovskii, Dmitri B
Stepanyants, Armen
author_sort Chklovskii, Dmitri B
collection PubMed
description BACKGROUND: Axon calibers vary widely among different animals, neuron classes, and even within the same neuron. What determines the diameter of axon branches? RESULTS: We pursue the hypothesis that the axon caliber has evolved to minimize signal propagation delays, while keeping arbor volume to a minimum. For a general cost function, we show that the optimal diameters of mother and daughter branches at a bifurcation satisfy a power law. The derivation relies on the fact that the axon conduction speed scales as a power of axon diameter. Although available data are consistent with the law, there is a large spread in the data. Future experimental tests will determine whether this spread is due to biological variability or measurement error. CONCLUSIONS: Minimization of arbor volume and signal propagation delay may have been an important factor in the evolution of the brain.
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spelling pubmed-2010172003-09-30 Power-law for axon diameters at branch point Chklovskii, Dmitri B Stepanyants, Armen BMC Neurosci Research Article BACKGROUND: Axon calibers vary widely among different animals, neuron classes, and even within the same neuron. What determines the diameter of axon branches? RESULTS: We pursue the hypothesis that the axon caliber has evolved to minimize signal propagation delays, while keeping arbor volume to a minimum. For a general cost function, we show that the optimal diameters of mother and daughter branches at a bifurcation satisfy a power law. The derivation relies on the fact that the axon conduction speed scales as a power of axon diameter. Although available data are consistent with the law, there is a large spread in the data. Future experimental tests will determine whether this spread is due to biological variability or measurement error. CONCLUSIONS: Minimization of arbor volume and signal propagation delay may have been an important factor in the evolution of the brain. BioMed Central 2003-08-28 /pmc/articles/PMC201017/ /pubmed/12946281 http://dx.doi.org/10.1186/1471-2202-4-18 Text en Copyright © 2003 Chklovskii and Stepanyants; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Chklovskii, Dmitri B
Stepanyants, Armen
Power-law for axon diameters at branch point
title Power-law for axon diameters at branch point
title_full Power-law for axon diameters at branch point
title_fullStr Power-law for axon diameters at branch point
title_full_unstemmed Power-law for axon diameters at branch point
title_short Power-law for axon diameters at branch point
title_sort power-law for axon diameters at branch point
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC201017/
https://www.ncbi.nlm.nih.gov/pubmed/12946281
http://dx.doi.org/10.1186/1471-2202-4-18
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