Literature DB >> 19518309

Detection of couplings in ensembles of stochastic oscillators.

Dmitry A Smirnov1, Boris P Bezruchko.   

Abstract

The problem of detection and quantitative characterization of directional couplings in an ensemble of noisy oscillators from a time series is addressed. We suggest estimators for the strengths of couplings which are based on modeling the observed oscillations with a set of stochastic phase oscillators and easily interpreted from a physical viewpoint. Moreover, we present an analytic formula for a statistical significance level allowing to reveal an architecture of couplings reliably from a relatively short time series. The technique applies to weakly coupled nonsynchronized oscillators. It is introduced for oscillators with close basic frequencies but can be readily generalized to the case of arbitrary frequencies. Efficiency of the technique is demonstrated in numerical experiments.

Year:  2009        PMID: 19518309     DOI: 10.1103/PhysRevE.79.046204

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

1.  Detecting effective connectivity in networks of coupled neuronal oscillators.

Authors:  Erin R Boykin; Pramod P Khargonekar; Paul R Carney; William O Ogle; Sachin S Talathi
Journal:  J Comput Neurosci       Date:  2011-10-14       Impact factor: 1.621

2.  Information flow in networks and the law of diminishing marginal returns: evidence from modeling and human electroencephalographic recordings.

Authors:  Daniele Marinazzo; Guorong Wu; Mario Pellicoro; Leonardo Angelini; Sebastiano Stramaglia
Journal:  PLoS One       Date:  2012-09-18       Impact factor: 3.240

3.  Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics.

Authors:  Douglas Zhou; Yaoyu Zhang; Yanyang Xiao; David Cai
Journal:  Front Comput Neurosci       Date:  2014-07-30       Impact factor: 2.380

4.  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

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.