The Effect of Inhibitory Neuron on the Evolution Model of Higher-Order Coupling Neural Oscillator Population
Joint Authors
Qi, Yi
Jiao, Xianfa
Du, Ying
Wang, Rubin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We proposed a higher-order coupling neural network model including the inhibitory neurons and examined the dynamical evolution of average number density and phase-neural coding under the spontaneous activity and external stimulating condition.
The results indicated that increase of inhibitory coupling strength will cause decrease of average number density, whereas increase of excitatory coupling strength will cause increase of stable amplitude of average number density.
Whether the neural oscillator population is able to enter the new synchronous oscillation or not is determined by excitatory and inhibitory coupling strength.
In the presence of external stimulation, the evolution of the average number density is dependent upon the external stimulation and the coupling term in which the dominator will determine the final evolution.
American Psychological Association (APA)
Qi, Yi& Wang, Rubin& Jiao, Xianfa& Du, Ying. 2014. The Effect of Inhibitory Neuron on the Evolution Model of Higher-Order Coupling Neural Oscillator Population. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-451831
Modern Language Association (MLA)
Qi, Yi…[et al.]. The Effect of Inhibitory Neuron on the Evolution Model of Higher-Order Coupling Neural Oscillator Population. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-451831
American Medical Association (AMA)
Qi, Yi& Wang, Rubin& Jiao, Xianfa& Du, Ying. The Effect of Inhibitory Neuron on the Evolution Model of Higher-Order Coupling Neural Oscillator Population. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-451831
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-451831