Chimera states in a lattice of superdiffusively coupled neurons

被引:2
作者
Fateev, I. [1 ]
Polezhaev, A. [1 ]
机构
[1] Russian Acad Sci, PN Lebedev Phys Inst, 53 Leninskiy Prospekt, Moscow 119991, Russia
关键词
Chimera states; Reaction-diffusion systems; Superdiffusion; Hindmarsh-Rose neuron model; Fractional derivatives; SPIRAL WAVE CHIMERAS; 2-DIMENSIONAL LATTICE; PATTERN-FORMATION; SPECTRAL METHOD; DIFFUSION; SYNCHRONIZATION; MODEL; TRANSITION; NETWORKS; DYNAMICS;
D O I
10.1016/j.chaos.2024.114722
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Chimera states are a truly remarkable dynamical phenomenon that occur in systems of coupled oscillators. In this regime, regions of synchronized and unsynchronized elements are formed in the system. For many applied problems, especially in neuroscience, these states offer a rich potential for research. However, the plethora of models and the lack of a "single simple principle" that leads to the development of chimeras makes it very difficult to understand their nature. In this work, we propose a three-component reaction-superdiffusion system based on a unified mechanism founded on the properties of the fractional Laplace operator and the nonlinear Hindmarsh-Rose model functions. In the proposed system, the non-local type of interaction forming the coupling between the elements depends significantly on the fractional Laplace operator exponents of the corresponding components. It is shown that in the framework of the superdiffusion type of interaction, chimera states are realized in the system. At the same time, many qualitative (shape, visual degree of inhomogeneity and area size) and quantitative characteristics of chimeras (synchronization factor, strength of incoherence, local order parameter, number of elements with a potential value exceeding a given one) depend significantly on the exponents of the fractional Laplace operator. In addition to classical chimeras and target-waves chimeras, the results of numerical simulations show the presence of mutually sustaining reaction processes of different scales in the system.
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页数:10
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共 108 条
  • [1] Chimera states for coupled oscillators
    Abrams, DM
    Strogatz, SH
    [J]. PHYSICAL REVIEW LETTERS, 2004, 93 (17) : 174102 - 1
  • [2] Chimera state in complex networks of bistable Hodgkin-Huxley neurons
    Andreev, A., V
    Frolov, N. S.
    Pisarchik, A. N.
    Hramov, A. E.
    [J]. PHYSICAL REVIEW E, 2019, 100 (02)
  • [3] Weak chimeras in minimal networks of coupled phase oscillators
    Ashwin, Peter
    Burylko, Oleksandr
    [J]. CHAOS, 2015, 25 (01)
  • [4] Spike chimera states and firing regularities in neuronal hypernetworks
    Bera, Bidesh K.
    Rakshit, Sarbendu
    Ghosh, Dibakar
    Kurths, Juergen
    [J]. CHAOS, 2019, 29 (05)
  • [5] Imperfect traveling chimera states induced by local synaptic gradient coupling
    Bera, Bidesh K.
    Ghosh, Dibakar
    Banerjee, Tanmoy
    [J]. PHYSICAL REVIEW E, 2016, 94 (01)
  • [6] Chimera states in purely local delay-coupled oscillators
    Bera, Bidesh K.
    Ghosh, Dibakar
    [J]. PHYSICAL REVIEW E, 2016, 93 (05)
  • [7] Chimera states in bursting neurons
    Bera, Bidesh K.
    Ghosh, Dibakar
    Lakshmanan, M.
    [J]. PHYSICAL REVIEW E, 2016, 93 (01):
  • [8] Synchronization of spiral wave patterns in two-layer 2D lattices of nonlocally coupled discrete oscillators
    Bukh, A. V.
    Schoell, E.
    Anishchenko, V. S.
    [J]. CHAOS, 2019, 29 (05)
  • [9] Spiral wave patterns in a two-dimensional lattice of nonlocally coupled maps modeling neural activity
    Bukh, Andrei
    Strelkova, Galina
    Anishchenko, Vadim
    [J]. CHAOS SOLITONS & FRACTALS, 2019, 120 : 75 - 82
  • [10] A spatiotemporal mechanism of visual attention: Superdiffusive motion and theta oscillations of neural population activity patterns
    Chen, Guozhang
    Gong, Pulin
    [J]. SCIENCE ADVANCES, 2022, 8 (16):