Traveling chimera patterns in a two-dimensional neuronal network
Creators
- 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.2021.127519Additional 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.