@Article{LameuYMBICPBVSBK:2018:ReQuAn,
author = "Lameu, Ewandson Luiz and Yanchuk, S. and Macau, Elbert Einstein
Nehrer and Borges, F. S. and Iarosz, K. C. and Caldas, I. L. and
Protachevicz, P. R. and Borges, R. R. and Viana, R. L. and Szezech
Junior, J. D. and Batista, A. M. and Kurths, J.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Technical
University of Berlin} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidade Federal do ABC (UFABC)} and
{Humboldt University} and {Universidade de S{\~a}o Paulo (USP)}
and {Universidade Estadual de Ponta Grossa} and {Universidade
Federal Tecnol{\'o}gica do Paran{\'a} (UFTPR)} and {Universidade
Federal do Paran{\'a} (UFPR)} and {Universidade Federal de Ponta
Grossa} and {Universidade de S{\~a}o Paulo (USP)} and {Humboldt
University}",
title = "Recurrence quantification analysis for the identification of burst
phase synchronisation",
journal = "Chaos",
year = "2018",
volume = "28",
number = "8",
pages = "e085701",
month = "Aug.",
abstract = "In this work, we apply the spatial recurrence quantification
analysis (RQA) to identify chaotic burst phase synchronisation in
networks. We consider one neural network with small-world topology
and another one composed of small-world subnetworks. The neuron
dynamics is described by the Rulkov map, which is a
two-dimensional map that has been used to model chaotic bursting
neurons. We show that with the use of spatial RQA, it is possible
to identify groups of synchronised neurons and determine their
size. For the single network, we obtain an analytical expression
for the spatial recurrence rate using a Gaussian approximation. In
clustered networks, the spatial RQA allows the identification of
phase synchronisation among neurons within and between the
subnetworks. Our results imply that RQA can serve as a useful tool
for studying phase synchronisation even in networks of networks.",
doi = "10.1063/1.5024324",
url = "http://dx.doi.org/10.1063/1.5024324",
issn = "1054-1500",
language = "pt",
targetfile = "lameu-recurrence.pdf",
urlaccessdate = "27 abr. 2024"
}