DocumentCode
396140
Title
A heteroclinic point and basin boundaries in a piecewise linear chaotic neuron model
Author
Tanaka, Hiroto ; Ushio, Toshimitsu
Author_Institution
Graduate Sch. of Eng. Sci., Osaka Univ., Japan
Volume
3
fYear
2003
fDate
25-28 May 2003
Abstract
It has been shown that a high-dimensional discrete-time chaotic neuron model whose output is described by the logistic function exhibits bursting phenomena. When the bursting occurs, the model has heteroclinic loops connecting between fixed points and two-periodic points. In this paper, we consider a two-dimensional discrete-time chaotic neuron model with a piecewise linear output function. We derive occurrence conditions for the bursting, and show that, when the bursting occurs, there do not exist heteroclinic loops but rather heteroclinic points due to transversal intersections of unstable and stable manifolds of fixed and two-periodic points, which is a unique feature of piecewise linear model. Moreover, we show that boundaries of a set of initial conditions for the bursting are caused by piecewise linearity.
Keywords
boundary-value problems; chaos; discrete time systems; neural nets; piecewise linear techniques; 2D discrete-time chaotic neuron model; basin boundaries; bursting occurrence conditions; bursting phenomena; fixed points; heteroclinic loops; heteroclinic point; high-dimensional discrete-time chaotic neuron model; initial conditions boundaries; output logistic function; piecewise linear chaotic neuron model; piecewise linear output function; stable manifolds; transversal intersections; two-periodic points; unstable manifolds; Biological system modeling; Chaos; Equations; Joining processes; Linearity; Logistics; Mathematical model; Neurons; Piecewise linear techniques; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN
0-7803-7761-3
Type
conf
DOI
10.1109/ISCAS.2003.1204987
Filename
1204987
Link To Document