Literature DB >> 21838361

Network reconstruction from random phase resetting.

Zoran Levnajić1, Arkady Pikovsky.   

Abstract

We propose a novel method of reconstructing the topology and interaction functions for a general oscillator network. An ensemble of initial phases and the corresponding instantaneous frequencies is constructed by repeating random phase resets of the system dynamics. The desired details of network structure are then revealed by appropriately averaging over the ensemble. The method is applicable for a wide class of networks with arbitrary emergent dynamics, including full synchrony.

Year:  2011        PMID: 21838361     DOI: 10.1103/PhysRevLett.107.034101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  16 in total

1.  A practical method for estimating coupling functions in complex dynamical systems.

Authors:  Isao T Tokuda; Zoran Levnajic; Kazuyoshi Ishimura
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

2.  Detecting synaptic connections in neural systems using compressive sensing.

Authors:  Yu Yang; Chuankui Yan
Journal:  Cogn Neurodyn       Date:  2021-11-20       Impact factor: 3.473

3.  Network structure from a characterization of interactions in complex systems.

Authors:  Thorsten Rings; Timo Bröhl; Klaus Lehnertz
Journal:  Sci Rep       Date:  2022-07-11       Impact factor: 4.996

4.  Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis.

Authors:  Giulio Tirabassi; Ricardo Sevilla-Escoboza; Javier M Buldú; Cristina Masoller
Journal:  Sci Rep       Date:  2015-06-04       Impact factor: 4.379

5.  Uncovering hidden nodes in complex networks in the presence of noise.

Authors:  Ri-Qi Su; Ying-Cheng Lai; Xiao Wang; Younghae Do
Journal:  Sci Rep       Date:  2014-02-03       Impact factor: 4.379

6.  Untangling complex dynamical systems via derivative-variable correlations.

Authors:  Zoran Levnajić; Arkady Pikovsky
Journal:  Sci Rep       Date:  2014-05-22       Impact factor: 4.379

7.  Evolutionary design of non-frustrated networks of phase-repulsive oscillators.

Authors:  Zoran Levnajić
Journal:  Sci Rep       Date:  2012-12-14       Impact factor: 4.379

8.  On the Inference of Functional Circadian Networks Using Granger Causality.

Authors:  Arya Pourzanjani; Erik D Herzog; Linda R Petzold
Journal:  PLoS One       Date:  2015-09-28       Impact factor: 3.240

9.  Granger causality network reconstruction of conductance-based integrate-and-fire neuronal systems.

Authors:  Douglas Zhou; Yanyang Xiao; Yaoyu Zhang; Zhiqin Xu; David Cai
Journal:  PLoS One       Date:  2014-02-19       Impact factor: 3.240

10.  Reconstructing propagation networks with natural diversity and identifying hidden sources.

Authors:  Zhesi Shen; Wen-Xu Wang; Ying Fan; Zengru Di; Ying-Cheng Lai
Journal:  Nat Commun       Date:  2014-07-11       Impact factor: 14.919

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