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.2017.10.019Additional 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.