Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network

Pre-Bötzinger complex (PBC) is a necessary condition for the generation of respiratory rhythm. Due to the existence of synaptic gaps, delay plays a key role in the synchronous operation of coupled neurons. In this study, the relationship between synchronization and correlation degree is established...

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Autores principales: Xu, Jieqiong, Yuan, Quan, Chen, Huiying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723864/
https://www.ncbi.nlm.nih.gov/pubmed/34987564
http://dx.doi.org/10.1155/2021/4475184
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author Xu, Jieqiong
Yuan, Quan
Chen, Huiying
author_facet Xu, Jieqiong
Yuan, Quan
Chen, Huiying
author_sort Xu, Jieqiong
collection PubMed
description Pre-Bötzinger complex (PBC) is a necessary condition for the generation of respiratory rhythm. Due to the existence of synaptic gaps, delay plays a key role in the synchronous operation of coupled neurons. In this study, the relationship between synchronization and correlation degree is established for the first time by using ISI bifurcation and correlation coefficient, and the relationship between synchronization and correlation degree is discussed under the conditions of no delay, symmetric delay, and asymmetric delay. The results show that the phase synchronization of two coupling PBCs is closely related to the weak correlation, that is, the weak phase synchronization may occur under the condition of incomplete synchronization. Moreover, the time delay and coupling strength are controlled in the modified PBC network model, which not only reveals the law of PBC firing transition but also reveals the complex synchronization behavior in the coupled chaotic neurons. Especially, when the two coupled neurons are nonidentical, the complete synchronization will disappear. These results fully reveal the dynamic behavior of the PBC neural system, which is helpful to explore the signal transmission and coding of PBC neurons and provide theoretical value for further understanding respiratory rhythm.
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spelling pubmed-87238642022-01-04 Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network Xu, Jieqiong Yuan, Quan Chen, Huiying Comput Intell Neurosci Research Article Pre-Bötzinger complex (PBC) is a necessary condition for the generation of respiratory rhythm. Due to the existence of synaptic gaps, delay plays a key role in the synchronous operation of coupled neurons. In this study, the relationship between synchronization and correlation degree is established for the first time by using ISI bifurcation and correlation coefficient, and the relationship between synchronization and correlation degree is discussed under the conditions of no delay, symmetric delay, and asymmetric delay. The results show that the phase synchronization of two coupling PBCs is closely related to the weak correlation, that is, the weak phase synchronization may occur under the condition of incomplete synchronization. Moreover, the time delay and coupling strength are controlled in the modified PBC network model, which not only reveals the law of PBC firing transition but also reveals the complex synchronization behavior in the coupled chaotic neurons. Especially, when the two coupled neurons are nonidentical, the complete synchronization will disappear. These results fully reveal the dynamic behavior of the PBC neural system, which is helpful to explore the signal transmission and coding of PBC neurons and provide theoretical value for further understanding respiratory rhythm. Hindawi 2021-12-27 /pmc/articles/PMC8723864/ /pubmed/34987564 http://dx.doi.org/10.1155/2021/4475184 Text en Copyright © 2021 Jieqiong Xu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Jieqiong
Yuan, Quan
Chen, Huiying
Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network
title Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network
title_full Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network
title_fullStr Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network
title_full_unstemmed Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network
title_short Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network
title_sort correlation analysis of synchronization type and degree in respiratory neural network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723864/
https://www.ncbi.nlm.nih.gov/pubmed/34987564
http://dx.doi.org/10.1155/2021/4475184
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