Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ben-Tal, Alona, Wang, Yunjiao, Leite, Maria C. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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
_version_ 1783429729290813440
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
work_keys_str_mv AT bentalalona thelogicbehindneuralcontrolofbreathingpattern
AT wangyunjiao thelogicbehindneuralcontrolofbreathingpattern
AT leitemariaca thelogicbehindneuralcontrolofbreathingpattern
AT bentalalona logicbehindneuralcontrolofbreathingpattern
AT wangyunjiao logicbehindneuralcontrolofbreathingpattern
AT leitemariaca logicbehindneuralcontrolofbreathingpattern