Published March 2005 | Version v1
Journal article

Coexisting chaotic attractors in a single neuron model with adapting feedback synapse

  • 1. Institute of Electronic Systems, School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054 (China)
  • 2. Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong (China)

Description

In this paper, we consider the nonlinear dynamical behavior of a single neuron model with adapting feedback synapse, and show that chaotic behaviors exist in this model. In some parameter domain, we observe two coexisting chaotic attractors, switching from the coexisting chaotic attractors to a connected chaotic attractor, and then switching back to the two coexisting chaotic attractors. We confirm the chaoticity by simulations with phase plots, waveform plots, and power spectra

Additional details

Identifiers

DOI
10.1016/j.chaos.2004.06.031;
PII
S0960-0779(04)00379-0;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
23
Journal Issue
5
Journal Page Range
p. 1599-1604
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
36048634
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ATTRACTORS; CHAOS THEORY; FEEDBACK; NERVE CELLS; SIMULATION; WAVE FORMS
Descriptors DEC
ANIMAL CELLS; MATHEMATICS; SOMATIC CELLS

Optional Information

Copyright
Copyright (c) 2004 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.