Journal of Automation and Information Sciences
年間 12 号発行
ISSN 印刷: 1064-2315
ISSN オンライン: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Algorithms of Classification of Neuron Impulses Based on Dynamic Equations
巻 37,
発行 2, 2005,
pp. 46-54
DOI: 10.1615/J Automat Inf Scien.v37.i2.60
要約
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.
413 記事の閲覧数
3 記事のダウンロード
記事の統計
類似内容の記事:
最新号
Modeling of Configurations Formed when Using Microneedle Systems
Properties of Large Deviations of Empirical Estimates in a Stochastic Optimization Problem for a Homogeneous Random Field
The Dynamics of One Arms Race Mathematical Model with a Delay
Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems
Method for Constructing Primitive Polynomials for Cryptographic Subsystems of Dependable Automated Systems
Complete Asymptotics of Approximations by Certain Singular Integrals in Mathematical Modeling
Index, Volume 52, 2020