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自动化与信息科学期刊
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

卷:
卷 52, 2020 卷 51, 2019 卷 50, 2018 卷 49, 2017 卷 48, 2016 卷 47, 2015 卷 46, 2014 卷 45, 2013 卷 44, 2012 卷 43, 2011 卷 42, 2010 卷 41, 2009 卷 40, 2008 卷 39, 2007 卷 38, 2006 卷 37, 2005 卷 36, 2004 卷 35, 2003 卷 34, 2002 卷 33, 2001 卷 32, 2000 卷 31, 1999 卷 30, 1998 卷 29, 1997 卷 28, 1996

自动化与信息科学期刊

DOI: 10.1615/J Automat Inf Scien.v37.i2.60
pages 46-54

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.


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