Published February 15, 2009 | Version v1
Journal article

A scheme of de-synchronization in globally coupled neural networks and its possible implications for vagus nerve stimulation

  • 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.2007.05.015

Additional 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.