A Brief Review of Chimera State in Empirical Brain Networks

A Brief Review of Chimera State in Empirical Brain Networks

Understanding the human brain and its functions has always been an interesting and challenging problem. Recently, a significant progress on this problem has been achieved on the aspect of chimera state where a coexistence of synchronized and unsynchronized states can be sustained in identical oscill...

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Main Authors: Zhenhua Wang, Zonghua Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Physiology
Subjects:
synchronization
chimera state
order parameter
neuronal system
cerebral cortex
89.75.Hc
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2020.00724/full
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spelling doaj-a8ec6c60b293469d85fa2d47151155812020-11-25T03:33:00ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2020-06-011110.3389/fphys.2020.00724532099A Brief Review of Chimera State in Empirical Brain NetworksZhenhua WangZonghua LiuUnderstanding the human brain and its functions has always been an interesting and challenging problem. Recently, a significant progress on this problem has been achieved on the aspect of chimera state where a coexistence of synchronized and unsynchronized states can be sustained in identical oscillators. This counterintuitive phenomenon is closely related to the unihemispheric sleep in some marine mammals and birds and has recently gotten a hot attention in neural systems, except the previous studies in non-neural systems such as phase oscillators. This review will briefly summarize the main results of chimera state in neuronal systems and pay special attention to the network of cerebral cortex, aiming to accelerate the study of chimera state in brain networks. Some outlooks are also discussed.https://www.frontiersin.org/article/10.3389/fphys.2020.00724/fullsynchronizationchimera stateorder parameterneuronal systemcerebral cortex89.75.Hc
collection DOAJ
language English
format Article
sources DOAJ
author Zhenhua Wang
Zonghua Liu
spellingShingle Zhenhua Wang
Zonghua Liu
A Brief Review of Chimera State in Empirical Brain Networks
Frontiers in Physiology
synchronization
chimera state
order parameter
neuronal system
cerebral cortex
89.75.Hc
author_facet Zhenhua Wang
Zonghua Liu
author_sort Zhenhua Wang
title A Brief Review of Chimera State in Empirical Brain Networks
title_short A Brief Review of Chimera State in Empirical Brain Networks
title_full A Brief Review of Chimera State in Empirical Brain Networks
title_fullStr A Brief Review of Chimera State in Empirical Brain Networks
title_full_unstemmed A Brief Review of Chimera State in Empirical Brain Networks
title_sort brief review of chimera state in empirical brain networks
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2020-06-01
description Understanding the human brain and its functions has always been an interesting and challenging problem. Recently, a significant progress on this problem has been achieved on the aspect of chimera state where a coexistence of synchronized and unsynchronized states can be sustained in identical oscillators. This counterintuitive phenomenon is closely related to the unihemispheric sleep in some marine mammals and birds and has recently gotten a hot attention in neural systems, except the previous studies in non-neural systems such as phase oscillators. This review will briefly summarize the main results of chimera state in neuronal systems and pay special attention to the network of cerebral cortex, aiming to accelerate the study of chimera state in brain networks. Some outlooks are also discussed.
topic synchronization
chimera state
order parameter
neuronal system
cerebral cortex
89.75.Hc
url https://www.frontiersin.org/article/10.3389/fphys.2020.00724/full
work_keys_str_mv AT zhenhuawang abriefreviewofchimerastateinempiricalbrainnetworks
AT zonghualiu abriefreviewofchimerastateinempiricalbrainnetworks
AT zhenhuawang briefreviewofchimerastateinempiricalbrainnetworks
AT zonghualiu briefreviewofchimerastateinempiricalbrainnetworks
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