Limits on Anti-Phase Synchronization in Oscillator Networks
Abstract Anti-phase synchronization is the spontaneous formation of 2 clusters of oscillators synchronized between themselves within a cluster but opposite in phase with the other cluster. Neuronal networks in human and animal brains, ecological networks, climactic networks, and lasers are all syste...
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Nature Portfolio
2020
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oai:doaj.org-article:40f76bd8ced448afaf6c2d46762e85552021-12-02T17:45:12ZLimits on Anti-Phase Synchronization in Oscillator Networks10.1038/s41598-020-67021-62045-2322https://doaj.org/article/40f76bd8ced448afaf6c2d46762e85552020-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-67021-6https://doaj.org/toc/2045-2322Abstract Anti-phase synchronization is the spontaneous formation of 2 clusters of oscillators synchronized between themselves within a cluster but opposite in phase with the other cluster. Neuronal networks in human and animal brains, ecological networks, climactic networks, and lasers are all systems that exhibit anti-phase synchronization although the phenomenon is encountered less frequently than the celebrated in-phase synchronization. We show that this disparity in occurrence is due to fundamental limits on the size of networks that can sustain anti-phase synchronization. We study the influence of network structure and coupling conditions on anti-phase synchronization in networks composed of coupled Stuart-Landau oscillators. The dependence of probability of anti-phase synchronization on connectivity of the network, strength of interaction over distance, and symmetry of the network is illustrated. Regardless of favourable network conditions, we show that anti-phase synchronization is limited to small networks, typically smaller than 20 nodes.George Vathakkattil JosephVikram PakrashiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020) |
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Medicine R Science Q George Vathakkattil Joseph Vikram Pakrashi Limits on Anti-Phase Synchronization in Oscillator Networks |
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Abstract Anti-phase synchronization is the spontaneous formation of 2 clusters of oscillators synchronized between themselves within a cluster but opposite in phase with the other cluster. Neuronal networks in human and animal brains, ecological networks, climactic networks, and lasers are all systems that exhibit anti-phase synchronization although the phenomenon is encountered less frequently than the celebrated in-phase synchronization. We show that this disparity in occurrence is due to fundamental limits on the size of networks that can sustain anti-phase synchronization. We study the influence of network structure and coupling conditions on anti-phase synchronization in networks composed of coupled Stuart-Landau oscillators. The dependence of probability of anti-phase synchronization on connectivity of the network, strength of interaction over distance, and symmetry of the network is illustrated. Regardless of favourable network conditions, we show that anti-phase synchronization is limited to small networks, typically smaller than 20 nodes. |
format |
article |
author |
George Vathakkattil Joseph Vikram Pakrashi |
author_facet |
George Vathakkattil Joseph Vikram Pakrashi |
author_sort |
George Vathakkattil Joseph |
title |
Limits on Anti-Phase Synchronization in Oscillator Networks |
title_short |
Limits on Anti-Phase Synchronization in Oscillator Networks |
title_full |
Limits on Anti-Phase Synchronization in Oscillator Networks |
title_fullStr |
Limits on Anti-Phase Synchronization in Oscillator Networks |
title_full_unstemmed |
Limits on Anti-Phase Synchronization in Oscillator Networks |
title_sort |
limits on anti-phase synchronization in oscillator networks |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/40f76bd8ced448afaf6c2d46762e8555 |
work_keys_str_mv |
AT georgevathakkattiljoseph limitsonantiphasesynchronizationinoscillatornetworks AT vikrampakrashi limitsonantiphasesynchronizationinoscillatornetworks |
_version_ |
1718379581588635648 |