2019
DOI: 10.1103/physreve.99.012303
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Desynchronization and pattern formation in a noisy feed-forward oscillator network

Abstract: We consider a one-dimensional directional array of diffusively coupled oscillators. They are perturbed by the injection of a small additive noise, typically orders of magnitude smaller than the oscillation amplitude, and the system is studied in a region of the parameters that would yield deterministic synchronization. Non normal directed couplings seed a coherent amplification of the perturbation: this latter manifests as a modulation, transversal to the limit cycle, which gains in potency node after node. If… Show more

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Cited by 8 publications
(6 citation statements)
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“…Starting form this equation, it is possible to derive an analytic expression for the so called Power spectrum density matrix (PSDM), a diagnostic tool that allows to highlight the presence of correlations between species at different distances along the chain (Challenger and McKane, 2013;Zankoc et al, 2017Zankoc et al, , 2019. The (PSDM) P ij,αβ (ω) is defined by…”
Section: Spatial Correlationsmentioning
confidence: 99%
“…Starting form this equation, it is possible to derive an analytic expression for the so called Power spectrum density matrix (PSDM), a diagnostic tool that allows to highlight the presence of correlations between species at different distances along the chain (Challenger and McKane, 2013;Zankoc et al, 2017Zankoc et al, , 2019. The (PSDM) P ij,αβ (ω) is defined by…”
Section: Spatial Correlationsmentioning
confidence: 99%
“…Making the directed lattice longer, i.e. adding successive nodes to the one-dimensional chain, allows for the perturbation to grow in potency, and for the system to eventually cross the boundaries of stability [27]. A similar scenario is met when the hosting network is assumed quasi degenerate, meaning that the Laplacian eigenvalues are densely packed within a limited portion of the complex plane.…”
Section: Introductionmentioning
confidence: 99%
“…Diffusive couplings between adjacent nodes is a paradigmatic choice for modelling neural networks which proves adequate in many cases [ 39 ]. However, feed-forward connectivity is also believed to play a significant role in a neuroscience context [ 40 , 41 ]. Each node is unidirectionally coupled to its successive neighbors in a feed-forward network: …”
Section: Chimera States Of Spatiotemporal Divergence In Regular Ncmentioning
confidence: 99%