Published December 2017 | Version v1
Journal article

Collective response, synapse coupling and field coupling in neuronal network

  • 1. Department of Physics, Lanzhou University of Technology, Lanzhou 730050 (China)
  • 2. College of Mechano-Electronic Engineering, Lanzhou University of Technology, Lanzhou 730050 (China)
  • 3. NAAM-Research Group, Department of Mathematics, King Abdulaziz University, Jeddah 21589 (Saudi Arabia)
  • 4. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050 (China)

Description

Highlights: • Field coupling between neurons is suggested. • Synapse coupling can be adjusted by field coupling. • Electromagnetic induction can modulate the electrical activities of neuron. - Abstract: Based on an improved neuron model with electromagnetic induction, the collective responses of chain neuronal network are detected. Besides the gap junction coupling between adjacent neurons, magnetic flux coupling is used to describe the effect of field coupling among all neurons. A statistical factor of synchronization is calculated to find the pattern stability dependence on the coupling intensity of junction coupling and field coupling. Bifurcation analysis and wave propagation are presented. It is found that signal propagation can be suppressed by field coupling on the network driven by external stimulus with diversity. Otherwise, network synchronization can be enhanced when external current stimulus are imposed on neurons of the network uniformly.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2017.10.019

Additional details

Identifiers

DOI
10.1016/j.chaos.2017.10.019;
PII
S0960077917304356;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
105
Journal Page Range
p. 120-127
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51023487
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING; S60: APPLIED LIFE SCIENCES;
Descriptors DEI
BIFURCATION; INDUCTION; MAGNETIC FLUX; NERVE CELLS; NEURAL NETWORKS; SIGNALS; STABILITY; STIMULI; SYNCHRONIZATION; WAVE PROPAGATION
Descriptors DEC
ANIMAL CELLS; SOMATIC CELLS

Optional Information

Notes
© 2017 Elsevier Ltd. All rights reserved.