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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

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

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v33.i5-8.190
10 pages

Recognition of Neurons Impulses with the Use of Nonlinear Dynamic Equations

Tatyana I. Aksenova
Zhozef Fourier University, Grenoble, France
Igor V. Tetko
Institute of Physiology of Lausanne University, Switzerland
Olga K. Chibirova
Joseph Fourier University, Grenoble, France
Alexandro Villa
Institute of Physiology of Lausanne University, Switzerland

Краткое описание

We consider the problem of neurons impulses extracellular monitoring as a recognition problem of some specific segments of a signal — the impulses of one of neurons which appear at random time moments. For individual recognition the impulses of different neurons we use the impulses models as non-linear differential equations with a disturbance. These models enable to describe a signal disturbance not only by an amplitude but also by a phase. We have shown that the use of such models enables to reduce the problem to separation of a mixture of distributions close to normal in the transformed space of signs. We suggest and realize the algorithm of recognition of neurons impulses. The results of numerical experiment are cited.