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Optimization principles of dendritic structure
BACKGROUND: Dendrites are the most conspicuous feature of neurons. However, the principles determining their structure are poorly understood. By employing cable theory and, for the first time, graph theory, we describe dendritic anatomy solely on the basis of optimizing synaptic efficacy with minima...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1924501/ https://www.ncbi.nlm.nih.gov/pubmed/17559645 http://dx.doi.org/10.1186/1742-4682-4-21 |
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author | Cuntz, Hermann Borst, Alexander Segev, Idan |
author_facet | Cuntz, Hermann Borst, Alexander Segev, Idan |
author_sort | Cuntz, Hermann |
collection | PubMed |
description | BACKGROUND: Dendrites are the most conspicuous feature of neurons. However, the principles determining their structure are poorly understood. By employing cable theory and, for the first time, graph theory, we describe dendritic anatomy solely on the basis of optimizing synaptic efficacy with minimal resources. RESULTS: We show that dendritic branching topology can be well described by minimizing the path length from the neuron's dendritic root to each of its synaptic inputs while constraining the total length of wiring. Tapering of diameter toward the dendrite tip – a feature of many neurons – optimizes charge transfer from all dendritic synapses to the dendritic root while housekeeping the amount of dendrite volume. As an example, we show how dendrites of fly neurons can be closely reconstructed based on these two principles alone. |
format | Text |
id | pubmed-1924501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-19245012007-07-18 Optimization principles of dendritic structure Cuntz, Hermann Borst, Alexander Segev, Idan Theor Biol Med Model Research BACKGROUND: Dendrites are the most conspicuous feature of neurons. However, the principles determining their structure are poorly understood. By employing cable theory and, for the first time, graph theory, we describe dendritic anatomy solely on the basis of optimizing synaptic efficacy with minimal resources. RESULTS: We show that dendritic branching topology can be well described by minimizing the path length from the neuron's dendritic root to each of its synaptic inputs while constraining the total length of wiring. Tapering of diameter toward the dendrite tip – a feature of many neurons – optimizes charge transfer from all dendritic synapses to the dendritic root while housekeeping the amount of dendrite volume. As an example, we show how dendrites of fly neurons can be closely reconstructed based on these two principles alone. BioMed Central 2007-06-08 /pmc/articles/PMC1924501/ /pubmed/17559645 http://dx.doi.org/10.1186/1742-4682-4-21 Text en Copyright © 2007 Cuntz et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Cuntz, Hermann Borst, Alexander Segev, Idan Optimization principles of dendritic structure |
title | Optimization principles of dendritic structure |
title_full | Optimization principles of dendritic structure |
title_fullStr | Optimization principles of dendritic structure |
title_full_unstemmed | Optimization principles of dendritic structure |
title_short | Optimization principles of dendritic structure |
title_sort | optimization principles of dendritic structure |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1924501/ https://www.ncbi.nlm.nih.gov/pubmed/17559645 http://dx.doi.org/10.1186/1742-4682-4-21 |
work_keys_str_mv | AT cuntzhermann optimizationprinciplesofdendriticstructure AT borstalexander optimizationprinciplesofdendriticstructure AT segevidan optimizationprinciplesofdendriticstructure |