Synchronization of biological neural network systems with stochastic perturbations and time delays

DOI10.1016/j.jfranklin.2013.10.008zbMath1395.93514OpenAlexW2001608886MaRDI QIDQ1659396

Tomohisa Hayakawa, Xianlin Zeng, James M. Bailey, Wassim M. Haddad, Qing Hui

Publication date: 15 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.10.008

zbMATH Keywords

time delaysynchronizationstochastic perturbationsbiological neural network

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Perturbations in control/observation systems (93C73) Asymptotic stability in control theory (93D20) Stochastic systems in control theory (general) (93E03) Biological rhythms and synchronization (92B25)

Related Items (7)

Extension of synchronizability analysis based on vital factors: extending validity to multilayer fully coupled networks ⋮ Discrete Razumikhin-type stability theorems for stochastic discrete-time delay systems ⋮ Complex function projective synchronization of general networked chaotic systems by using complex adaptive fuzzy logic ⋮ Novel aperiodically intermittent stability criteria for Markovian switching stochastic delayed coupled systems ⋮ Fault detection of discrete-time delay Markovian jump systems with delay term modes partially available ⋮ Neimark-Sacker bifurcation analysis on a numerical discretization of Gause-type predator-prey model with delay ⋮ Synchronization properties of interconnected network based on the vital node

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