Literature DB >> 15697897

Entrainment of randomly coupled oscillator networks by a pacemaker.

Hiroshi Kori1, Alexander S Mikhailov.   

Abstract

Entrainment by a pacemaker, representing an element with a higher frequency, is numerically investigated for several classes of random networks which consist of identical phase oscillators. We find that the entrainment frequency window of a network decreases exponentially with its depth, defined as the mean forward distance of the elements from the pacemaker. Effectively, only shallow networks can thus exhibit frequency locking to the pacemaker. The exponential dependence is also derived analytically as an approximation for large random asymmetric networks.

Mesh:

Year:  2004        PMID: 15697897     DOI: 10.1103/PhysRevLett.93.254101

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


  6 in total

1.  Exponential synchronization rate of Kuramoto oscillators in the presence of a pacemaker.

Authors:  Yongqiang Wang; Francis J Doyle
Journal:  IEEE Trans Automat Contr       Date:  2012-08-27       Impact factor: 5.792

2.  Membrane resonance in bursting pacemaker neurons of an oscillatory network is correlated with network frequency.

Authors:  Vahid Tohidi; Farzan Nadim
Journal:  J Neurosci       Date:  2009-05-20       Impact factor: 6.167

3.  Traveling and pinned fronts in bistable reaction-diffusion systems on networks.

Authors:  Nikos E Kouvaris; Hiroshi Kori; Alexander S Mikhailov
Journal:  PLoS One       Date:  2012-09-28       Impact factor: 3.240

4.  Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity.

Authors:  Naoki Masuda; Hiroshi Kori
Journal:  J Comput Neurosci       Date:  2007-03-28       Impact factor: 1.453

5.  Noise-induced switches in network systems of the genetic toggle switch.

Authors:  Junwei Wang; Jiajun Zhang; Zhanjiang Yuan; Tianshou Zhou
Journal:  BMC Syst Biol       Date:  2007-11-15

6.  Seasonality and light phase-resetting in the mammalian circadian rhythm.

Authors:  Kevin M Hannay; Daniel B Forger; Victoria Booth
Journal:  Sci Rep       Date:  2020-11-11       Impact factor: 4.379

  6 in total

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