Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9757
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Main Title: Complex partial synchronization patterns in networks of delay-coupled neurons
Author(s): Nikitin, D.
Omelchenko, Iryna
Zakharova, Anna
Avetyan, M.
Fradkov, Alexander L.
Schöll, Eckehard
Type: Article
Language Code: en
Abstract: We study the spatio-temporal dynamics of a multiplex network of delay-coupled FitzHugh–Nagumo oscillators with non-local and fractal connectivities. Apart from chimera states, a new regime of coexistence of slow and fast oscillations is found. An analytical explanation for the emergence of such coexisting partial synchronization patterns is given. Furthermore, we propose a control scheme for the number of fast and slow neurons in each layer.
URI: https://depositonce.tu-berlin.de/handle/11303/10862
http://dx.doi.org/10.14279/depositonce-9757
Issue Date: 22-Jul-2019
Date Available: 28-Feb-2020
DDC Class: 510 Mathematik
Subject(s): multiplex network
chimera states
delay coupling
neural networks
Sponsor/Funder: DFG, 163436311, SFB 910: Kontrolle selbstorganisierender nichtlinearer Systeme: Theoretische Methoden und Anwendungskonzepte
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Philosophical Transactions of the Royal Society of London, Series A : Mathematical, Physical and Engineering Sciences
Publisher: Royal Society
Publisher Place: London
Volume: 377
Issue: 2153
Article Number: 20180128
Publisher DOI: 10.1098/rsta.2018.0128
EISSN: 1471-2962
ISSN: 1364-503X
Appears in Collections:FG Nichtlineare Dynamik und Kontrolle » Publications

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