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Electronic Data Center

Journal of Automation and Information Sciences

 

ISSN for PRINT: 1064-2315

Institutional price:

$2573.00

Issues per year:

12

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Best Paper Award Selection - Editorial Board Site

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2005, Volume37

Issue 2

  68 pages  

DOI: 10.1615/J Automat Inf Scien.v37.i2   

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  • Algorithms of Classification of Neuron Impulses Based on Dynamic Equations
  • Olga K. Chibirova
    Joseph Fourier University, Grenoble, France

    Steve Larouche
    Sherbrooke University, Canada

    Alesandro E. P. Villa
    Joseph Fourier University, Grenoble, France

    Tatyana I. Aksenova
    Zhozef Fourier University, Grenoble, France


    ABSTRACT

    A description of computer implementation of an algorithm for classification of neuron impulses (ACNI) using nonlinear dynamic equations is given. ACNI includes an automated learning procedure and allows a real-time classification of impulses of several neurons, recorded by a single microelectrode. Results of algorithm testing on a simulated signal with different noise levels are presented. We also demonstrate applications of ACNI for studying of neuron activity in the subthalamic kernel of brain, which is the goal zone for high-frequency electric stimulation of depth zones of brain in Parkinson's disease.

    DOI: 10.1615/J Automat Inf Scien.v37.i2.60

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