The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Chimera states in a multilayer network of coupled and uncoupled neurons
Open accessAbstract
We study the emergence of chimera states in a multilayer neuronal network, where one layer is composed of coupled and the other layer of uncoupled neurons. Through the multilayer structure, the layer with coupled neurons acts as the medium by means of which neurons in the uncoupled layer share information in spite of the absence of physical connections among them. Neurons in the coupled layer are connected with electrical synapses, while across the two layers, neurons are connected through chemical synapses. In both layers, the dynamics of each neuron is described by the Hindmarsh-Rose square wave bursting dynamics. We show that the presence of two different types of connecting synapses within and between the two layers, together with the multilayer network structure, plays a key role in the emergence of between-layer synchronous chimera states and patterns of synchronous clusters. In particular, we find that these chimera states can emerge in the coupled layer regardless of the range of electrical synapses. Even in all-to-all and nearest-neighbor coupling within the coupled layer, we observe qualitatively identical between-layer chimera states. Moreover, we show that the role of information transmission delay between the two layers must not be neglected, and we obtain precise parameter bounds at which chimera states can be observed. The expansion of the chimera region and annihilation of cluster and fully coherent states in the parameter plane for increasing values of inter-layer chemical synaptic time delay are illustrated using effective range measurements. These results are discussed in the light of neuronal evolution, where the coexistence of coherent and incoherent dynamics during the developmental stage is particularly likely.
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Cites
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
The structure and dynamics of multilayer networks
Boccaletti, S., Bianconi, G., Criado, R., del Genio, C. I., Gómez-Gardeñes, J., Romance, M., Sendiña-Nadal, I., Wang, Z., & Zanin, M. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.07.001 · Cited by 3,125
Globally networked risks and how to respond
Helbing, D. (2013) · Nature · doi:10.1038/nature12047 · Cited by 1,281
Mathematical Formulation of Multilayer Networks
De Domenico, M., Solé-Ribalta, A., Cozzo, E., Kivelä, M., Moreno, Y., Porter, M. A., Gómez, S., & Arenas, A. (2013) · Physical Review X · doi:10.1103/physrevx.3.041022 · Cited by 930
Structural Properties of the Caenorhabditis elegans Neuronal Network
Varshney, L. R., Chen, B. L., Paniagua, E., Hall, D. H., & Chklovskii, D. B. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001066 · Cited by 867
Cited by
Parastesh, F., Jafari, S., Azarnoush, H., Shahriari, Z., Wang, Z., Boccaletti, S., & Perc, M. (2021) · Physics Reports · doi:10.1016/j.physrep.2020.10.003 · Cited by 291
Self-citationThe effects of extreme multistability on the collective dynamics of coupled memristive neurons
Wang, Z., Ramamoorthy, R., Xi, X., Rajagopal, K., Zhang, P., & Jafari, S. (2022) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-022-00558-x · Cited by 29
Metadata
- Authors
- Majhi, S., Perc, M., & Ghosh, D.
- Venue
- Chaos: An Interdisciplinary Journal of Nonlinear Science
- Publisher
- AIP Publishing
- Published
- 2017-07-01
- Volume
- 27
- Issue
- 7
- Pages
- 073109-073109
- ISSN
- 1054-1500 (ISSN-L)
- 1089-7682
- OpenAlex
- W2734865542
- Cited by
- 242
- References
- 5
- FWCI
- 25.32
- Type
- journal article
- Language
- en
- Open access
- green
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