Phase Response Synchronization in Neuronal Population with Time-Varying Coupling Strength

Joint Authors

Cao, Jinde
Zhao, Wanyu
Jiao, Xianfa

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-11-10

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Medicine

Abstract EN

We present the dynamic model of global coupled neuronal population subject to external stimulus by the use of phase sensitivity function.

We investigate the effect of time-varying coupling strength on the synchronized phase response of neural population subjected to external harmonic stimulus.

For a time-periodic coupling strength, we found that the stimulus with increasing intensity or frequency can reinforce the phase response synchronization in neuronal population of the weakly coupled neural oscillators, and the neuronal population with stronger coupling strength has good adaptability to stimulus.

When we consider the dynamics of coupling strength, we found that a strong stimulus can quickly cause the synchronization in the neuronal population, the degree of synchronization grows with the increasing stimulus intensity, and the period of synchronized oscillation induced by external stimulation is related to stimulus frequency.

American Psychological Association (APA)

Jiao, Xianfa& Zhao, Wanyu& Cao, Jinde. 2015. Phase Response Synchronization in Neuronal Population with Time-Varying Coupling Strength. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1058008

Modern Language Association (MLA)

Jiao, Xianfa…[et al.]. Phase Response Synchronization in Neuronal Population with Time-Varying Coupling Strength. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1058008

American Medical Association (AMA)

Jiao, Xianfa& Zhao, Wanyu& Cao, Jinde. Phase Response Synchronization in Neuronal Population with Time-Varying Coupling Strength. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1058008

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1058008