Recurrence quantification analysis for the identification of burst phase synchronisation

DOI10.1063/1.5024324zbMath1396.92005OpenAlexW2888487481WikidataQ91285507 ScholiaQ91285507MaRDI QIDQ4685035

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Publication date: 4 October 2018

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: http://urlib.net/8JMKD3MGP3W34R/3RU6NFP

zbMATH Keywords

Rulkov maprecurrence quantification analysischaotic burst phase synchronisation

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Qualitative investigation and simulation of models involving functional-differential equations (34K60)

Related Items (2)

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Uses Software

• K2

Cites Work

• Bursting synchronization in networks with long-range coupling mediated by a diffusing chemical substance
• Networks of networks -- an introduction
• Chemical oscillations, waves, and turbulence
• Renormalization group analysis of the small-world network model
• Network and external perturbation induce burst synchronisation in cat cerebral cortex
• Modeling of spiking-bursting neural behavior using two-dimensional map
• Partial synchronization in networks of non-linearly coupled oscillators: The Deserter Hubs Model
• On synchronization in power-grids modelled as networks of second-order Kuramoto oscillators
• Collective dynamics of ‘small-world’ networks

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