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Published September 2021 | Version v1
Journal article

Traveling chimera patterns in a two-dimensional neuronal network

  • 1. Research Unit Condensed Matter, Electronics and Signal Processing, Department of Physics, Faculty of Science, University of Dschang, P.O. Box 67 Dschang (Cameroon)
  • 2. Physics and Applied Mathematics Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700108 (India)
  • 3. Institute of Surface Chemistry and Catalysis, University of Ulm, Albert-Einstein-Allee 47, 89081 Ulm (Germany)
  • 4. Epistemic, Gomez & Gomez Ltda. ME, Av. Professor Lineu Prestes 2242, Cietec, Sala 244, 05508-000 São Paulo (Brazil)
  • 5. São Paulo State University (UNESP), Instituto de Física Teórica, Rua Dr.Bento Teobaldo Ferraz 271, Bloco II, Barra Funda, 01140-070 São Paulo (Brazil)

Description

Highlights: • We explore traveling chimera state in a two-dimensional neuronal network. • Neurons are locally and non-locally connected through electric and chemical synapses, respectively. • Direction of propagation of the patterns in the grid is determined by the energy function analysis. We study the emergence of the traveling chimera state in a two-dimensional network of Hindmarsh-Rose burst neurons with the mutual presence of local and non-local couplings. We show that in the unique presence of the non-local chemical coupling modeled by a nonlinear function, the traveling chimera phenomenon occurs with a displacement in both directions of the plane of the grid. The introduction of local electrical coupling shows that the mutual influence of the two types of coupling can, for certain values, generate traveling chimera, imperfect-traveling, traveling multi-clusters, and alternating traveling chimera, i.e. the presence in the network under study, of patterns of coherent elements interspersed by other incoherent elements in movement and alternately changing their position over time. The confirmation of the states of coherence is done by introducing the parameter of the instantaneous local order parameter in two dimensions. Finally we extend our analysis through mathematical tools such as the Hamilton energy function to determine the direction of patterns' propagation in two dimensions.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.physleta.2021.127519

Additional details

Identifiers

DOI
10.1016/j.physleta.2021.127519;
PII
S0375960121003832;

Publishing Information

Journal Title
Physics Letters. A
Journal Volume
409
Journal Page Range
vp.
ISSN
0375-9601
CODEN
PYLAAG

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54011263
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ENERGY ANALYSIS; NEURAL NETWORKS; NONLINEAR PROBLEMS; ORDER PARAMETERS; TWO-DIMENSIONAL CALCULATIONS
Descriptors DEC
DIMENSIONLESS NUMBERS

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.