Literature DB >> 27668018

Noise effects on robust synchronization of a small pacemaker neuronal ensemble via nonlinear controller: electronic circuit design.

Elie Bertrand Megam Ngouonkadi1, Hilaire Bertrand Fotsin1, Martial Kabong Nono1, Patrick Herve Louodop Fotso1,2.   

Abstract

In this paper, we report on the synchronization of a pacemaker neuronal ensemble constituted of an AB neuron electrically coupled to two PD neurons. By the virtue of this electrical coupling, they can fire synchronous bursts of action potential. An external master neuron is used to induce to the whole system the desired dynamics, via a nonlinear controller. Such controller is obtained by a combination of sliding mode and feedback control. The proposed controller is able to offset uncertainties in the synchronized systems. We show how noise affects the synchronization of the pacemaker neuronal ensemble, and briefly discuss its potential benefits in our synchronization scheme. An extended Hindmarsh-Rose neuronal model is used to represent a single cell dynamic of the network. Numerical simulations and Pspice implementation of the synchronization scheme are presented. We found that, the proposed controller reduces the stochastic resonance of the network when its gain increases.

Keywords:  Feedback control; Noise; Pacemaker neuronal ensemble; Pspice simulation; Sliding mode; Synchronization

Year:  2016        PMID: 27668018      PMCID: PMC5018014          DOI: 10.1007/s11571-016-9393-1

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  34 in total

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Journal:  Neural Comput       Date:  1999-11-15       Impact factor: 2.026

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Authors:  Tao Yang; Hui He Shao
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-04-02

5.  Barrages of synaptic activity control the gain and sensitivity of cortical neurons.

Authors:  Yousheng Shu; Andrea Hasenstaub; Mathilde Badoual; Thierry Bal; David A McCormick
Journal:  J Neurosci       Date:  2003-11-12       Impact factor: 6.167

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Journal:  Science       Date:  1991-05-17       Impact factor: 47.728

7.  Computational model of electrically coupled, intrinsically distinct pacemaker neurons.

Authors:  Cristina Soto-Treviño; Pascale Rabbah; Eve Marder; Farzan Nadim
Journal:  J Neurophysiol       Date:  2005-02-23       Impact factor: 2.714

8.  Redistribution of synaptic efficacy between neocortical pyramidal neurons.

Authors:  H Markram; M Tsodyks
Journal:  Nature       Date:  1996-08-29       Impact factor: 49.962

9.  A model of neuronal bursting using three coupled first order differential equations.

Authors:  J L Hindmarsh; R M Rose
Journal:  Proc R Soc Lond B Biol Sci       Date:  1984-03-22

10.  Deep analysis of perception through dynamic structures that emerge in cortical activity from self-regulated noise.

Authors:  Walter J Freeman
Journal:  Cogn Neurodyn       Date:  2009-02-04       Impact factor: 5.082

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  4 in total

1.  Burst synchronization in a scale-free neuronal network with inhibitory spike-timing-dependent plasticity.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2018-09-11       Impact factor: 5.082

2.  Suppressing bursting synchronization in a modular neuronal network with synaptic plasticity.

Authors:  JiaYi Wang; XiaoLi Yang; ZhongKui Sun
Journal:  Cogn Neurodyn       Date:  2018-08-12       Impact factor: 5.082

3.  The informational entropy endowed in cortical oscillations.

Authors:  Arturo Tozzi; James F Peters; Mehmet Niyazi Çankaya
Journal:  Cogn Neurodyn       Date:  2018-06-18       Impact factor: 5.082

4.  Vibrational resonance in a randomly connected neural network.

Authors:  Yingmei Qin; Chunxiao Han; Yanqiu Che; Jia Zhao
Journal:  Cogn Neurodyn       Date:  2018-06-20       Impact factor: 5.082

  4 in total

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