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Myelination and Isochronicity in Neural Networks
Our brain contains a multiplicity of neuronal networks. In many of these, information sent from presynaptic neurons travels through a variety of pathways of different distances, yet arrives at the postsynaptic cells at the same time. Such isochronicity is achieved either by changes in the conduction...
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708965/ https://www.ncbi.nlm.nih.gov/pubmed/19597561 http://dx.doi.org/10.3389/neuro.05.012.2009 |
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author | Kimura, Fumitaka Itami, Chiaki |
author_facet | Kimura, Fumitaka Itami, Chiaki |
author_sort | Kimura, Fumitaka |
collection | PubMed |
description | Our brain contains a multiplicity of neuronal networks. In many of these, information sent from presynaptic neurons travels through a variety of pathways of different distances, yet arrives at the postsynaptic cells at the same time. Such isochronicity is achieved either by changes in the conduction velocity of axons or by lengthening the axonal path to compensate for fast conduction. To regulate the conduction velocity, a change in the extent of myelination has recently been proposed in thalamocortical and other pathways. This is in addition to a change in the axonal diameter, a previously identified, more accepted mechanism. Thus, myelination is not a simple means of insulation or acceleration of impulse conduction, but it is rather an exquisite way of actively regulating the timing of communication among various neuronal connections with different length. |
format | Text |
id | pubmed-2708965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-27089652009-07-13 Myelination and Isochronicity in Neural Networks Kimura, Fumitaka Itami, Chiaki Front Neuroanat Neuroscience Our brain contains a multiplicity of neuronal networks. In many of these, information sent from presynaptic neurons travels through a variety of pathways of different distances, yet arrives at the postsynaptic cells at the same time. Such isochronicity is achieved either by changes in the conduction velocity of axons or by lengthening the axonal path to compensate for fast conduction. To regulate the conduction velocity, a change in the extent of myelination has recently been proposed in thalamocortical and other pathways. This is in addition to a change in the axonal diameter, a previously identified, more accepted mechanism. Thus, myelination is not a simple means of insulation or acceleration of impulse conduction, but it is rather an exquisite way of actively regulating the timing of communication among various neuronal connections with different length. Frontiers Research Foundation 2009-07-06 /pmc/articles/PMC2708965/ /pubmed/19597561 http://dx.doi.org/10.3389/neuro.05.012.2009 Text en Copyright © 2009 Kimura and Itami. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Kimura, Fumitaka Itami, Chiaki Myelination and Isochronicity in Neural Networks |
title | Myelination and Isochronicity in Neural Networks |
title_full | Myelination and Isochronicity in Neural Networks |
title_fullStr | Myelination and Isochronicity in Neural Networks |
title_full_unstemmed | Myelination and Isochronicity in Neural Networks |
title_short | Myelination and Isochronicity in Neural Networks |
title_sort | myelination and isochronicity in neural networks |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708965/ https://www.ncbi.nlm.nih.gov/pubmed/19597561 http://dx.doi.org/10.3389/neuro.05.012.2009 |
work_keys_str_mv | AT kimurafumitaka myelinationandisochronicityinneuralnetworks AT itamichiaki myelinationandisochronicityinneuralnetworks |