Multistable Phase Locking Patterns in a Bursting Neural System
We quantitatively analyze the multistability of dynamic patterns of a busting neural system with diffusive coupling. Through effective coupling analysis, we show that the system is not in-phase locking but exhibits various phase locking patterns, each of which corresponds to the stable fixed points...
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Format: | Article |
Language: | English |
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International Institute of Informatics and Cybernetics
2003-08-01
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Series: | Journal of Systemics, Cybernetics and Informatics |
Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/002892.pdf
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author | Seon-Hee Park Young-Sup Hwang Jae-Hun Choi |
author_facet | Seon-Hee Park Young-Sup Hwang Jae-Hun Choi |
author_sort | Seon-Hee Park |
collection | DOAJ |
description | We quantitatively analyze the multistability of dynamic patterns of a busting neural system with diffusive coupling. Through effective coupling analysis, we show that the system is not in-phase locking but exhibits various phase locking patterns, each of which corresponds to the stable fixed points of the effective coupling. The simulation proves the validity of the effective coupling method in analyzing the multistability of neural systems which presents complicated dynamic patterns such as bursting. |
first_indexed | 2024-12-13T14:00:57Z |
format | Article |
id | doaj.art-fbb3e69a36b244f3b68c29c3ecab5caf |
institution | Directory Open Access Journal |
issn | 1690-4524 |
language | English |
last_indexed | 2024-12-13T14:00:57Z |
publishDate | 2003-08-01 |
publisher | International Institute of Informatics and Cybernetics |
record_format | Article |
series | Journal of Systemics, Cybernetics and Informatics |
spelling | doaj.art-fbb3e69a36b244f3b68c29c3ecab5caf2022-12-21T23:42:44ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242003-08-01142326Multistable Phase Locking Patterns in a Bursting Neural SystemSeon-Hee Park0Young-Sup Hwang1Jae-Hun Choi2 Bioinformatics research team, ETRI Bioinformatics research team, ETRI Bioinformatics research team, ETRI We quantitatively analyze the multistability of dynamic patterns of a busting neural system with diffusive coupling. Through effective coupling analysis, we show that the system is not in-phase locking but exhibits various phase locking patterns, each of which corresponds to the stable fixed points of the effective coupling. The simulation proves the validity of the effective coupling method in analyzing the multistability of neural systems which presents complicated dynamic patterns such as bursting.http://www.iiisci.org/Journal/CV$/sci/pdfs/002892.pdf |
spellingShingle | Seon-Hee Park Young-Sup Hwang Jae-Hun Choi Multistable Phase Locking Patterns in a Bursting Neural System Journal of Systemics, Cybernetics and Informatics |
title | Multistable Phase Locking Patterns in a Bursting Neural System |
title_full | Multistable Phase Locking Patterns in a Bursting Neural System |
title_fullStr | Multistable Phase Locking Patterns in a Bursting Neural System |
title_full_unstemmed | Multistable Phase Locking Patterns in a Bursting Neural System |
title_short | Multistable Phase Locking Patterns in a Bursting Neural System |
title_sort | multistable phase locking patterns in a bursting neural system |
url | http://www.iiisci.org/Journal/CV$/sci/pdfs/002892.pdf
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