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  • Synchronization of two coupled hindmarsh-Rose neurons

    Author(s)
    Ding, Ke
    Han, Qing-Long
    Griffith University Author(s)
    Han, Qing-Long
    Year published
    2015
    Metadata
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    Abstract
    This paper is concerned with synchronization of two coupled Hind-marsh-Rose (HR) neurons. Two synchronization criteria are derived by using nonlinear feedback control and linear feedback control, respectively. A synchronization criterion for FitzHugh-Nagumo (FHN) neurons is derived as the application of control method of this paper. Compared with some existing synchronization results for chaotic systems, the contribution of this paper is that feedback gains are only dependent on system parameters, rather than dependent on the norm bounds of state variables of uncontrolled and controlled HR neurons. The effectiveness of our ...
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    This paper is concerned with synchronization of two coupled Hind-marsh-Rose (HR) neurons. Two synchronization criteria are derived by using nonlinear feedback control and linear feedback control, respectively. A synchronization criterion for FitzHugh-Nagumo (FHN) neurons is derived as the application of control method of this paper. Compared with some existing synchronization results for chaotic systems, the contribution of this paper is that feedback gains are only dependent on system parameters, rather than dependent on the norm bounds of state variables of uncontrolled and controlled HR neurons. The effectiveness of our results are demonstrated by two simulation examples.
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    Journal Title
    Kybernetika
    Volume
    51
    Issue
    5
    DOI
    https://doi.org/10.14736/kyb-2015-5-0784
    Subject
    Statistics not elsewhere classified
    Statistics
    Publication URI
    http://hdl.handle.net/10072/101709
    Collection
    • Journal articles

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