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    Rights statement: Electronic version of an article published as Fluctuation and Noise Letters, 11, 1 2012, 1240011 10.1142/S0219477512400111 © copyright World Scientific Publishing Company http://www.worldscientific.com/doi/abs/10.1142/S0219477512400111

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The Kuramoto model subject to a fluctuating environment: application to brainwave dynamics

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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The Kuramoto model subject to a fluctuating environment: application to brainwave dynamics. / Hale, A. C.; Hansard, T.; Sheppard, L. W. et al.
In: Fluctuation and Noise Letters, Vol. 11, No. 1, 1240011, 03.2012, p. -.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Hale, AC, Hansard, T, Sheppard, LW, McClintock, PVE & Stefanovska, A 2012, 'The Kuramoto model subject to a fluctuating environment: application to brainwave dynamics', Fluctuation and Noise Letters, vol. 11, no. 1, 1240011, pp. -. https://doi.org/10.1142/S0219477512400111

APA

Hale, A. C., Hansard, T., Sheppard, L. W., McClintock, P. V. E., & Stefanovska, A. (2012). The Kuramoto model subject to a fluctuating environment: application to brainwave dynamics. Fluctuation and Noise Letters, 11(1), -. Article 1240011. https://doi.org/10.1142/S0219477512400111

Vancouver

Hale AC, Hansard T, Sheppard LW, McClintock PVE, Stefanovska A. The Kuramoto model subject to a fluctuating environment: application to brainwave dynamics. Fluctuation and Noise Letters. 2012 Mar;11(1):-. 1240011. doi: 10.1142/S0219477512400111

Author

Hale, A. C. ; Hansard, T. ; Sheppard, L. W. et al. / The Kuramoto model subject to a fluctuating environment : application to brainwave dynamics. In: Fluctuation and Noise Letters. 2012 ; Vol. 11, No. 1. pp. -.

Bibtex

@article{77a220be06fc41ce94e2ee5c20ef4cb6,
title = "The Kuramoto model subject to a fluctuating environment: application to brainwave dynamics",
abstract = "We consider the phase dynamics of an ensemble of Kuramoto oscillators whose eigenfrequencies are perturbed to model the openness of living systems, and we show that it exhibits time-localized epochs of synchrony. A new quantitative measure is used to show that the model compares well with electroencephalography data recorded from a healthy awake human.",
keywords = "Nonlinear dynamics, noise, coupled oscillators, brain models, synchronization , time series analysis ",
author = "Hale, {A. C.} and T. Hansard and Sheppard, {L. W.} and McClintock, {P. V. E.} and Aneta Stefanovska",
note = "Electronic version of an article published as Fluctuation and Noise Letters, 11, 1 2012, 1240011 10.1142/S0219477512400111 {\textcopyright} copyright World Scientific Publishing Company http://www.worldscientific.com/doi/abs/10.1142/S0219477512400111",
year = "2012",
month = mar,
doi = "10.1142/S0219477512400111",
language = "English",
volume = "11",
pages = "--",
journal = "Fluctuation and Noise Letters",
issn = "0219-4775",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - The Kuramoto model subject to a fluctuating environment

T2 - application to brainwave dynamics

AU - Hale, A. C.

AU - Hansard, T.

AU - Sheppard, L. W.

AU - McClintock, P. V. E.

AU - Stefanovska, Aneta

N1 - Electronic version of an article published as Fluctuation and Noise Letters, 11, 1 2012, 1240011 10.1142/S0219477512400111 © copyright World Scientific Publishing Company http://www.worldscientific.com/doi/abs/10.1142/S0219477512400111

PY - 2012/3

Y1 - 2012/3

N2 - We consider the phase dynamics of an ensemble of Kuramoto oscillators whose eigenfrequencies are perturbed to model the openness of living systems, and we show that it exhibits time-localized epochs of synchrony. A new quantitative measure is used to show that the model compares well with electroencephalography data recorded from a healthy awake human.

AB - We consider the phase dynamics of an ensemble of Kuramoto oscillators whose eigenfrequencies are perturbed to model the openness of living systems, and we show that it exhibits time-localized epochs of synchrony. A new quantitative measure is used to show that the model compares well with electroencephalography data recorded from a healthy awake human.

KW - Nonlinear dynamics

KW - noise

KW - coupled oscillators

KW - brain models

KW - synchronization

KW - time series analysis

U2 - 10.1142/S0219477512400111

DO - 10.1142/S0219477512400111

M3 - Journal article

VL - 11

SP - -

JO - Fluctuation and Noise Letters

JF - Fluctuation and Noise Letters

SN - 0219-4775

IS - 1

M1 - 1240011

ER -