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@ARTICLE{Ebrahimzadeh:909959,
author = {Ebrahimzadeh, P. and Schiek, Michael and Maistrenko, Y.},
title = {{M}ixed-mode chimera states in pendula networks},
journal = {Chaos},
volume = {32},
number = {10},
issn = {1054-1500},
address = {Woodbury, NY},
publisher = {American Institute of Physics},
reportid = {FZJ-2022-03549},
pages = {103118 -},
year = {2022},
abstract = {We report the emergence of peculiar chimera states in
networks of identical pendula with global phase-lagged
coupling. The states reported include both rotating and
quiescent modes, i.e., with non-zero and zero average
frequencies. This kind of mixed-mode chimeras may be
interpreted as images of bump states known in neuroscience
in the context of modeling the working memory. We illustrate
this striking phenomenon for a network of 𝑁=100 coupled
pendula, followed by a detailed description of the minimal
non-trivial case of 𝑁=3. Parameter regions for five
characteristic types of the system behavior are identified,
which consist of two mixed-mode chimeras with one and two
rotating pendula, classical weak chimera with all three
pendula rotating, synchronous rotation, and quiescent state.
The network dynamics is multistable: up to four of the
states can coexist in the system phase state as demonstrated
through the basins of attraction. The analysis suggests that
the robust mixed-mode chimera states can generically
describe the complex dynamics of diverse pendula-like
systems widespread in nature.Chimera states generally refer
to spatiotemporal patterns in networks of identical or close
to identical oscillators, in which a group of oscillators is
synchronized and the other group is asynchronous. For
networks composed of Kuramoto oscillators with inertia,
chimera states are manifested in the form of solitary states
in which one or a few oscillators split off from the main
synchronized cluster and start to rotate with a different
average frequency. Chimeras of this kind include rotational
modes, and their frequencies are determined by the system
parameters. In networks of excitable elements, such as
neurons, in contrary, chimeric spatiotemporal patterns
typically arise in the form of bump states, where active
spiking neurons (large amplitude) coexist with quiescent
(subthreshold) ones. The bump states are created due to the
competition mechanism between attractive and repulsive
couplings, which suppresses the quiescent group. Then, the
pendulum network can be viewed as a model bringing together
the properties of the Kuramoto oscillators with inertia and
the excitable theta neuron model, for which we show the
emergence of mixed-mode chimeras with non-zero and zero
average frequencies of individual oscillators from different
groups.},
cin = {ZEA-2},
ddc = {530},
cid = {I:(DE-Juel1)ZEA-2-20090406},
pnm = {5234 - Emerging NC Architectures (POF4-523) / ACA -
Advanced Computing Architectures (SO-092)},
pid = {G:(DE-HGF)POF4-5234 / G:(DE-HGF)SO-092},
typ = {PUB:(DE-HGF)16},
pubmed = {36319296},
UT = {WOS:000877944800008},
doi = {10.1063/5.0103071},
url = {https://juser.fz-juelich.de/record/909959},
}