Professor STEPHEN COOMBES stephen.coombes@nottingham.ac.uk
Professor of Applied Mathematics
Professor STEPHEN COOMBES stephen.coombes@nottingham.ac.uk
Professor of Applied Mathematics
RUEDIGER THUL ruediger.thul@nottingham.ac.uk
Associate Professor
The master stability function is a powerful tool for determining synchrony in high-dimensional networks of coupled limit cycle oscillators. In part, this approach relies on the analysis of a low-dimensional variational equation around a periodic orbit. For smooth dynamical systems, this orbit is not generically available in closed form. However, many models in physics, engineering and biology admit to non-smooth piece-wise linear caricatures, for which it is possible to construct periodic orbits without recourse to numerical evolution of trajectories. A classic example is the McKean model of an excitable system that has been extensively studied in the mathematical neuroscience community. Understandably, the master stability function cannot be immediately applied to networks of such non-smooth elements. Here, we show how to extend the master stability function to non-smooth planar piece-wise linear systems, and in the process demonstrate that considerable insight into network dynamics can be obtained. In illustration, we highlight an inverse period-doubling route to synchrony, under variation in coupling strength, in globally linearly coupled networks for which the node dynamics is poised near a homoclinic bifurcation. Moreover, for a star graph, we establish a mechanism for achieving so-called remote synchronisation (where the hub oscillator does not synchronise with the rest of the network), even when all the oscillators are identical. We contrast this with node dynamics close to a non-smooth Andronov–Hopf bifurcation and also a saddle node bifurcation of limit cycles, for which no such bifurcation of synchrony occurs.
Coombes, S., & Thul, R. (2016). Synchrony in networks of coupled nonsmooth dynamical systems: extending the master stability function. European Journal of Applied Mathematics, 27(6), 904-922. https://doi.org/10.1017/S0956792516000115
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 25, 2016 |
Online Publication Date | Mar 28, 2016 |
Publication Date | Dec 1, 2016 |
Deposit Date | Aug 13, 2018 |
Publicly Available Date | Dec 17, 2018 |
Print ISSN | 0956-7925 |
Electronic ISSN | 1469-4425 |
Publisher | Cambridge University Press (CUP) |
Peer Reviewed | Peer Reviewed |
Volume | 27 |
Issue | 6 |
Pages | 904-922 |
DOI | https://doi.org/10.1017/S0956792516000115 |
Keywords | General applied mathematics, Synchronisation, Non-smooth equations, Complex networks, Neural networks |
Public URL | http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=10256500&fileId=S0956792516000115 |
Publisher URL | https://www.cambridge.org/core/journals/european-journal-of-applied-mathematics/article/synchrony-in-networks-of-coupled-nonsmooth-dynamical-systems-extending-the-master-stability-function/F1334F9ECA5E419E9CA611A23B5E8D9C |
Synchrony in networks of coupled non-smooth dynamical systems: Extending the master stability function
(3.4 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
The role of node dynamics in shaping emergent functional connectivity patterns in the brain
(2020)
Journal Article
Brain-wave equation incorporating axodendritic connectivity
(2020)
Journal Article
Next-generation neural mass and field modeling
(2019)
Journal Article
A master stability function approach to cardiac alternans
(2019)
Journal Article
Synchrony in networks of Franklin bells
(2019)
Journal Article
About Repository@Nottingham
Administrator e-mail: openaccess@nottingham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Advanced Search