Frontiers of Physics

, 12:128904 | Cite as

Diversity of chimera-like patterns from a model of 2D arrays of neurons with nonlocal coupling

  • Chang-Hai Tian
  • Xi-Yun Zhang
  • Zhen-Hua Wang
  • Zong-Hua Liu
Research Article
Part of the following topical collections:
  1. Soft-Matter Physics and Complex Systems


Chimera states have been studied in 1D arrays, and a variety of different chimera states have been found using different models. Research has recently been extended to 2D arrays but only to phase models of them. Here, we extend it to a nonphase model of 2D arrays of neurons and focus on the influence of nonlocal coupling. Using extensive numerical simulations, we find, surprisingly, that this system can show most types of previously observed chimera states, in contrast to previous models, where only one or a few types of chimera states can be observed in each model. We also find that this model can show some special chimera-like patterns such as gridding and multicolumn patterns, which were previously observed only in phase models. Further, we present an effective approach, i.e., removing some of the coupling links, to generate heterogeneous coupling, which results in diverse chimera-like patterns and even induces transformations from one chimera-like pattern to another.


chimera state FitzHugh–Nagumo model heterogeneous couplings 



This work was partially supported by the National Natural Science Foundation of China under Grant Nos. 11135001 and 11375066, the National Basic Research Program of China (973 Program) under Grant No. 2013CB834100, the Scientific Research Starting Foundation of Tongren University under Grant No. TS1118, and the Natural Science Foundation of Guizhou Province Education Department under Grant No. KY[2014]316.

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Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Chang-Hai Tian
    • 1
    • 2
  • Xi-Yun Zhang
    • 1
  • Zhen-Hua Wang
    • 1
  • Zong-Hua Liu
    • 1
  1. 1.Department of PhysicsEast China Normal UniversityShanghaiChina
  2. 2.School of Data ScienceTongren UniversityTongrenChina

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