IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v101y2017icp86-91.html
   My bibliography  Save this article

Chimera-like states in a neuronal network model of the cat brain

Author

Listed:
  • Santos, M.S.
  • Szezech, J.D.
  • Borges, F.S.
  • Iarosz, K.C.
  • Caldas, I.L.
  • Batista, A.M.
  • Viana, R.L.
  • Kurths, J.

Abstract

Neuronal systems have been modelled by complex networks in different description levels. Recently, it has been verified that the networks can simultaneously exhibit one coherent and other incoherent domain, known as chimera states. In this work, we study the existence of chimera-like states in a network considering the connectivity matrix based on the cat cerebral cortex. The cerebral cortex of the cat can be separated in 65 cortical areas organised into the four cognitive regions: visual, auditory, somatosensory-motor and frontolimbic. We consider a network where the local dynamics is given by the Hindmarsh–Rose model. The Hindmarsh–Rose equations are a well known model of the neuronal activity that has been considered to simulate the membrane potential in neuron. Here, we analyse under which conditions chimera-like states are present, as well as the effects induced by intensity of coupling on them. We identify two different kinds of chimera-like states: spiking chimera-like state with desynchronised spikes, and bursting chimera-like state with desynchronised bursts. Moreover, we find that chimera-like states with desynchronised bursts are more robust to neuronal noise than with desynchronised spikes.

Suggested Citation

  • Santos, M.S. & Szezech, J.D. & Borges, F.S. & Iarosz, K.C. & Caldas, I.L. & Batista, A.M. & Viana, R.L. & Kurths, J., 2017. "Chimera-like states in a neuronal network model of the cat brain," Chaos, Solitons & Fractals, Elsevier, vol. 101(C), pages 86-91.
    • Handle: RePEc:eee:chsofr:v:101:y:2017:i:c:p:86-91
    DOI: 10.1016/j.chaos.2017.05.028
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077917302230
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2017.05.028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jesús Gómez-Gardeñes & Gorka Zamora-López & Yamir Moreno & Alex Arenas, 2010. "From Modular to Centralized Organization of Synchronization in Functional Areas of the Cat Cerebral Cortex," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-11, August.
    2. Robert A. Barton & Paul H. Harvey, 2000. "Mosaic evolution of brain structure in mammals," Nature, Nature, vol. 405(6790), pages 1055-1058, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rybalova, E.V. & Vadivasova, T.E. & Strelkova, G.I. & Zakharova, A., 2022. "Multiplexing noise induces synchronization in multilayer networks," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
    2. Li, Xuening & Xie, Ying & Ye, Zhiqiu & Huang, Weifang & Yang, Lijian & Zhan, Xuan & Jia, Ya, 2024. "Chimera-like state in the bistable excitatory-inhibitory cortical neuronal network," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    3. Cabanas, A.M. & Vélez, J.A. & Pérez, L.M. & Díaz, P. & Clerc, M.G. & Laroze, D. & Malomed, B.A., 2021. "Dissipative structures in a parametrically driven dissipative lattice: Chimera, localized disorder, continuous-wave, and staggered states," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    4. Marghoti, Gabriel & de Lima Prado, Thiago & Conte, Arturo Cagnato & Ferrari, Fabiano Alan Serafim & Lopes, Sergio Roberto, 2022. "Intermittent chimera-like and bi-stable synchronization states in network of distinct Izhikevich neurons," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    5. Ngueuteu Mbouna, S.G. & Banerjee, Tanmoy & Yamapi, René & Woafo, Paul, 2022. "Diverse chimera and symmetry-breaking patterns induced by fractional derivation effect in a network of Stuart-Landau oscillators," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahmadi, Negar & Pei, Yulong & Pechenizkiy, Mykola, 2019. "Effect of linear mixing in EEG on synchronization and complex network measures studied using the Kuramoto model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 289-308.
    2. Capitán, José A. & Aguirre, Jacobo & Manrubia, Susanna, 2015. "Dynamical community structure of populations evolving on genotype networks," Chaos, Solitons & Fractals, Elsevier, vol. 72(C), pages 99-106.
    3. Eli M Swanson & Kay E Holekamp & Barbara L Lundrigan & Bradley M Arsznov & Sharleen T Sakai, 2012. "Multiple Determinants of Whole and Regional Brain Volume among Terrestrial Carnivorans," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-11, June.
    4. Fernandes, Heitor B.F. & Peñaherrera-Aguirre, Mateo & Woodley of Menie, Michael A. & Figueredo, Aurelio José, 2020. "Macroevolutionary patterns and selection modes for general intelligence (G) and for commonly used neuroanatomical volume measures in primates," Intelligence, Elsevier, vol. 80(C).
    5. Andreas Wartel & Patrik Lindenfors & Johan Lind, 2019. "Whatever you want: Inconsistent results are the rule, not the exception, in the study of primate brain evolution," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-15, July.
    6. Antoine Couto & Fletcher J. Young & Daniele Atzeni & Simon Marty & Lina Melo‐Flórez & Laura Hebberecht & Monica Monllor & Chris Neal & Francesco Cicconardi & W. Owen McMillan & Stephen H. Montgomery, 2023. "Rapid expansion and visual specialisation of learning and memory centres in the brains of Heliconiini butterflies," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    7. Ernst Schwartz & Karl-Heinz Nenning & Katja Heuer & Nathan Jeffery & Ornella C. Bertrand & Roberto Toro & Gregor Kasprian & Daniela Prayer & Georg Langs, 2023. "Evolution of cortical geometry and its link to function, behaviour and ecology," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    8. R. Croston & C.L. Branch & D.Y. Kozlovsky & R. Dukas & V.V. Pravosudov, 2015. "Heritability and the evolution of cognitive traits," Behavioral Ecology, International Society for Behavioral Ecology, vol. 26(6), pages 1447-1459.
    9. Ferrari, F.A.S. & Viana, R.L. & Reis, A.S. & Iarosz, K.C. & Caldas, I.L. & Batista, A.M., 2018. "A network of networks model to study phase synchronization using structural connection matrix of human brain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 162-170.
    10. Wang, Qingyun & Zheng, Yanhong & Ma, Jun, 2013. "Cooperative dynamics in neuronal networks," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 19-27.
    11. Cecilia L Friedrichs-Maeder & Alessandra Griffa & Juliane Schneider & Petra Susan Hüppi & Anita Truttmann & Patric Hagmann, 2017. "Exploring the role of white matter connectivity in cortex maturation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    12. Yang Tang & Huijun Gao & Wei Zou & Jürgen Kurths, 2012. "Identifying Controlling Nodes in Neuronal Networks in Different Scales," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-13, July.
    13. David Samu & Anil K Seth & Thomas Nowotny, 2014. "Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-24, April.
    14. Jing Han & Lin Wang, 2013. "Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-11, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:101:y:2017:i:c:p:86-91. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.