Literature DB >> 15783409

Amplification of information transfer in excitable systems that reside in a steady state near a bifurcation point to complex oscillatory behavior.

Matjaz Perc1, Marko Marhl.   

Abstract

We study the amplification of information transfer in excitable systems. We show that excitable systems residing in a steady state near a bifurcation point to complex oscillatory behavior incorporate several frequencies that can be exploited for a resonant amplification of information transfer. In particular, for excitable neurons that reside in a steady state near a bifurcation point to elliptic bursting oscillations, we show that in addition to the resonant frequency of damped oscillations around the stable focus, another frequency exists that resonantly enhances large amplitude bursts and thus amplifies the information transfer in the system. This additional frequency cannot be found by the local stability analysis and has never been used for amplifying the information transfer in a system. The results obtained for elliptic bursting oscillations can be generalized also to other complex oscillators, such as parabolic or square-wave bursters. Additionally, the biological importance of presented results in the field of neuroscience is outlined.

Mesh:

Year:  2005        PMID: 15783409     DOI: 10.1103/PhysRevE.71.026229

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


  5 in total

1.  Dynamic behavior analysis of fractional-order Hindmarsh-Rose neuronal model.

Authors:  Dong Jun; Zhang Guang-Jun; Xie Yong; Yao Hong; Wang Jue
Journal:  Cogn Neurodyn       Date:  2013-11-05       Impact factor: 5.082

2.  Measuring spike timing distance in the Hindmarsh-Rose neurons.

Authors:  Jinjie Zhu; Xianbin Liu
Journal:  Cogn Neurodyn       Date:  2017-12-27       Impact factor: 5.082

3.  Information transmission in a neuron-astrocyte coupled model.

Authors:  Jun Tang; Jin-Ming Luo; Jun Ma
Journal:  PLoS One       Date:  2013-11-29       Impact factor: 3.240

4.  Chaotic Resonance in Typical Routes to Chaos in the Izhikevich Neuron Model.

Authors:  Sou Nobukawa; Haruhiko Nishimura; Teruya Yamanishi
Journal:  Sci Rep       Date:  2017-05-02       Impact factor: 4.379

5.  Energy expenditure computation of a single bursting neuron.

Authors:  Fengyun Zhu; Rubin Wang; Xiaochuan Pan; Zhenyu Zhu
Journal:  Cogn Neurodyn       Date:  2018-09-03       Impact factor: 5.082

  5 in total

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