A scheme of de-synchronization in globally coupled neural networks and its possible implications for vagus nerve stimulation
Creators
- 1. Institute of Theoretical Physics, Lanzhou University of Technology, Lanzhou 730050 (China) and Institute of Theoretical Physics, Lanzhou University, Lanzhou 730000 (China)
- 2. Institute of Theoretical Physics, Lanzhou University of Technology, Lanzhou 730050 (China)
- 3. Department of Chemistry, George Washington University, Washington, DC 20052 (United States)
- 4. Institute of Theoretical Physics, Lanzhou University, Lanzhou 730000 (China)
Description
A scheme of de-synchronization via pulse stimulation is numerically investigated in the Hindmarsh Rose globally coupled neural networks. The simulations show that synchronization evolves into de-synchronization in the globally coupled HR neural network when a part (about 10%) of neurons are stimulated with a pulse current signal. The network de-synchronization appears to be sensitive to the stimulation parameters. For the case of the same stimulation intensity, those weakly coupled networks reach de-synchronization more easily than strongly coupled networks. There exists a homologous asymptotic behavior in the region of higher frequency, and exist the optimal stimulation interval and period of continuous stimulation time when other stimulation parameters remain invariable.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2007.05.015Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2007.05.015;
- PII
- S0960-0779(07)00354-2;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 39
- Journal Issue
- 3
- Journal Page Range
- p. 1472-1479
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41008680
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- ASYMPTOTIC SOLUTIONS; NERVE CELLS; NEURAL NETWORKS; PULSES; SIGNALS; SIMULATION; STIMULATION; SYNCHRONIZATION
- Descriptors DEC
- ANIMAL CELLS; MATHEMATICAL SOLUTIONS; SOMATIC CELLS
Optional Information
- Copyright
- Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.