2007
DOI: 10.1142/s0219477507003878
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Time-Delayed Feedback in a Net of Neural Elements: Transition From Oscillatory to Excitable Dynamics

Abstract: The influence of time-delayed feedback on the dynamics of a net of oscillatory FitzHugh-Nagumo elements is investigated. We show that the global oscillation of the net can be suppressed (amplitude death) via time-delayed feedback for properly chosen delay time and feedback strength. The result of a linear stability analysis fits very well to the simulations. In the amplitude death regime, weak additive noise can induce excitation waves (noise-induced pattern formation), a fingerprint of excitable network dynam… Show more

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Cited by 29 publications
(17 citation statements)
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“…In a variety of physical, engineering, biological, and chemical systems the presence of time-delayed feedback or time-delayed couplings is inevitable. Examples include propagation delays in networks [24], laser arrays [25][26][27], electronic circuits [28], and neural systems [29][30][31]. Time-delayed nonlinear systems are found to show interesting dynamical phenomena such as novel bifurcations [32,33], amplitude death [34], strange nonchaotic attractors [35], hyperchaos [36], stochastic dynamics [37][38][39], excitation regeneration [40], reentrance phenomena [41,42], and patterns [43].…”
Section: Introductionmentioning
confidence: 99%
“…In a variety of physical, engineering, biological, and chemical systems the presence of time-delayed feedback or time-delayed couplings is inevitable. Examples include propagation delays in networks [24], laser arrays [25][26][27], electronic circuits [28], and neural systems [29][30][31]. Time-delayed nonlinear systems are found to show interesting dynamical phenomena such as novel bifurcations [32,33], amplitude death [34], strange nonchaotic attractors [35], hyperchaos [36], stochastic dynamics [37][38][39], excitation regeneration [40], reentrance phenomena [41,42], and patterns [43].…”
Section: Introductionmentioning
confidence: 99%
“…Time delays are always present in coupled systems owing to the finite signalpropagation time. These time lags give rise to complex dynamics and have been shown to play a key role in the synchronization behaviour of neural systems (Hauschildt et al 2006;Gassel et al 2007;Dahlem et al 2009;Schöll et al 2009). Coupled lasers exhibit similar phenomena to coupled neurons and have attracted much attention owing to their importance in telecommunication applications (Wünsche et al 2005;Fischer et al 2006;Klein et al 2006;Shaw et al 2006;Landsman & Schwartz 2007;Flunkert et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…In particular, when the transmission delays are much smaller than the local processing delays, the fluctuations diverge as λτ o →π/4 [Eq. (17)].…”
Section: Discussion and Summarymentioning
confidence: 99%