Stochastic Resonance in Neuronal Network Motifs with Ornstein-Uhlenbeck Colored Noise
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-10
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We consider here the effect of the Ornstein-Uhlenbeck colored noise on the stochastic resonance of the feed-forward-loop (FFL) network motif.
The FFL motif is modeled through the FitzHugh-Nagumo neuron model as well as the chemical coupling.
Our results show that the noise intensity and the correlation time of the noise process serve as the control parameters, which have great impacts on the stochastic dynamics of the FFL motif.
We find that, with a proper choice of noise intensities and the correlation time of the noise process, the signal-to-noise ratio (SNR) can display more than one peak.
American Psychological Association (APA)
Lou, Xuyang. 2014. Stochastic Resonance in Neuronal Network Motifs with Ornstein-Uhlenbeck Colored Noise. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-506631
Modern Language Association (MLA)
Lou, Xuyang. Stochastic Resonance in Neuronal Network Motifs with Ornstein-Uhlenbeck Colored Noise. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-506631
American Medical Association (AMA)
Lou, Xuyang. Stochastic Resonance in Neuronal Network Motifs with Ornstein-Uhlenbeck Colored Noise. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-506631
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506631