Published March 2005
| Version v1
Journal article
Coexisting chaotic attractors in a single neuron model with adapting feedback synapse
Creators
- 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.