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The logic behind neural control of breathing pattern
The respiratory rhythm generator is spectacular in its ability to support a wide range of activities and adapt to changing environmental conditions, yet its operating mechanisms remain elusive. We show how selective control of inspiration and expiration times can be achieved in a new representation...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591426/ https://www.ncbi.nlm.nih.gov/pubmed/31235701 http://dx.doi.org/10.1038/s41598-019-45011-7 |
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author | Ben-Tal, Alona Wang, Yunjiao Leite, Maria C. A. |
author_facet | Ben-Tal, Alona Wang, Yunjiao Leite, Maria C. A. |
author_sort | Ben-Tal, Alona |
collection | PubMed |
description | The respiratory rhythm generator is spectacular in its ability to support a wide range of activities and adapt to changing environmental conditions, yet its operating mechanisms remain elusive. We show how selective control of inspiration and expiration times can be achieved in a new representation of the neural system (called a Boolean network). The new framework enables us to predict the behavior of neural networks based on properties of neurons, not their values. Hence, it reveals the logic behind the neural mechanisms that control the breathing pattern. Our network mimics many features seen in the respiratory network such as the transition from a 3-phase to 2-phase to 1-phase rhythm, providing novel insights and new testable predictions. |
format | Online Article Text |
id | pubmed-6591426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65914262019-07-02 The logic behind neural control of breathing pattern Ben-Tal, Alona Wang, Yunjiao Leite, Maria C. A. Sci Rep Article The respiratory rhythm generator is spectacular in its ability to support a wide range of activities and adapt to changing environmental conditions, yet its operating mechanisms remain elusive. We show how selective control of inspiration and expiration times can be achieved in a new representation of the neural system (called a Boolean network). The new framework enables us to predict the behavior of neural networks based on properties of neurons, not their values. Hence, it reveals the logic behind the neural mechanisms that control the breathing pattern. Our network mimics many features seen in the respiratory network such as the transition from a 3-phase to 2-phase to 1-phase rhythm, providing novel insights and new testable predictions. Nature Publishing Group UK 2019-06-24 /pmc/articles/PMC6591426/ /pubmed/31235701 http://dx.doi.org/10.1038/s41598-019-45011-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ben-Tal, Alona Wang, Yunjiao Leite, Maria C. A. The logic behind neural control of breathing pattern |
title | The logic behind neural control of breathing pattern |
title_full | The logic behind neural control of breathing pattern |
title_fullStr | The logic behind neural control of breathing pattern |
title_full_unstemmed | The logic behind neural control of breathing pattern |
title_short | The logic behind neural control of breathing pattern |
title_sort | logic behind neural control of breathing pattern |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591426/ https://www.ncbi.nlm.nih.gov/pubmed/31235701 http://dx.doi.org/10.1038/s41598-019-45011-7 |
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