Scale-free avalanches in arrays of FitzHugh-Nagumo oscillators

被引:10
|
作者
Contreras, Max [1 ]
Medeiros, Everton S. [2 ]
Zakharova, Anna [1 ,3 ]
Hoevel, Philipp [4 ]
Franovic, Igor [5 ]
机构
[1] Tech Univ Berlin, Inst Theoret Phys, Hardenbergstr 36, D-10623 Berlin, Germany
[2] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, D-26111 Oldenburg, Germany
[3] Humboldt Univ, Bernstein Ctr Computat Neurosci, Philippstr 13, D-10115 Berlin, Germany
[4] Saarland Univ, Theoret Phys & Ctr Biophys, Campus E2 6, D-66123 Saarbrucken, Germany
[5] Univ Belgrade, Inst Phys Belgrade, Ctr Study Complex Syst, Sci Comp Lab, Pregrevica 118, Belgrade 11080, Serbia
关键词
SELF-ORGANIZED CRITICALITY; NEURONAL AVALANCHES; CORTICAL NETWORKS; DYNAMICS; PATTERNS; EMERGE; RANGE;
D O I
10.1063/5.0165778
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The activity in the brain cortex remarkably shows a simultaneous presence of robust collective oscillations and neuronal avalanches, where intermittent bursts of pseudo-synchronous spiking are interspersed with long periods of quiescence. The mechanisms allowing for such coexistence are still a matter of an intensive debate. Here, we demonstrate that avalanche activity patterns can emerge in a rather simple model of an array of diffusively coupled neural oscillators with multiple timescale local dynamics in the vicinity of a canard transition. The avalanches coexist with the fully synchronous state where the units perform relaxation oscillations. We show that the mechanism behind the avalanches is based on an inhibitory effect of interactions, which may quench the spiking of units due to an interplay with the maximal canard. The avalanche activity bears certain heralds of criticality, including scale-invariant distributions of event sizes. Furthermore, the system shows increased sensitivity to perturbations, manifested as critical slowing down and reduced resilience.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Multistability in coupled Fitzhugh-Nagumo oscillators
    Campbell, SA
    Waite, M
    NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 2001, 47 (02) : 1093 - 1104
  • [2] Delay-aided stochastic multiresonances on scale-free FitzHugh-Nagumo neuronal networks
    Gan Chun-Biao
    Perc, Matjaz
    Wang Qing-Yun
    CHINESE PHYSICS B, 2010, 19 (04)
  • [3] Delay-aided stochastic multiresonances on scale-free FitzHugh-Nagumo neuronal networks
    甘春标
    Perc Matjaz
    王青云
    Chinese Physics B, 2010, (04) : 130 - 135
  • [4] Analogue modelling an array of the FitzHugh-Nagumo oscillators
    Tamaseviciute, Elena
    Mykolaitis, Gytis
    Tamasevicius, Arunas
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2012, 17 (01): : 118 - 125
  • [5] Visual object segmentation using FitzHugh-Nagumo oscillators
    Labbi, A
    Milanese, R
    Bosch, H
    NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 2001, 47 (09) : 5827 - 5838
  • [6] Realistic model of compact VLSI FitzHugh-Nagumo oscillators
    Cosp, Jordi
    Binczak, Stephane
    Madrenas, Jordi
    Fernandez, Daniel
    INTERNATIONAL JOURNAL OF ELECTRONICS, 2014, 101 (02) : 220 - 230
  • [7] Robustness of chimera states for coupled FitzHugh-Nagumo oscillators
    Omelchenko, Iryna
    Provata, Astero
    Hizanidis, Johanne
    Schoell, Eckehard
    Hoevel, Philipp
    PHYSICAL REVIEW E, 2015, 91 (02)
  • [8] Suppressing Activity of an Array of Coupled Fitzhugh-Nagumo Oscillators
    Adomaitiene, E.
    Mykolaitis, G.
    Bumeliene, S.
    Tamasevicius, A.
    ACTA PHYSICA POLONICA A, 2016, 129 (04) : 562 - 564
  • [9] Quenching coupled FitzHugh-Nagumo oscillators by repulsive feedback
    Adomaitiene, Elena
    Asmontas, Steponas
    Bumeliene, Skaidra
    Tamasevicius, Arunas
    PHYSICA SCRIPTA, 2020, 95 (10)
  • [10] Multi-chimera states in FitzHugh-Nagumo oscillators
    Philipp Hövel
    Iryna Omelchenko
    BMC Neuroscience, 14 (Suppl 1)