DocumentCode
2190272
Title
Coefficient of Variation Based Analysis of Coherence Resonance in Hodgkin-Huxley Neuron Model
Author
Han, Chunxiao ; Wang, Jiang ; Guan, Wenye ; Deng, Bin ; Dong, Feng
Author_Institution
Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
4
Abstract
We study the nonlinear response of the HodgkinHuxley model without external periodic signal to Gaussian white noise (GWN) and Ornstein-Uhlenbeck noise (OUN) as synaptic current respectively near the saddle-node bifurcation of limit cycles. The coherence of the system, estimated from the Coefficient of Variation of interspike interval of membrane potentials and spike trains, is minimal at certain noise intensity, so that the coherence resonance occurs. When GWN is served as synaptic input, coherence resonance occurs when noise intensity is greater than a certain threshold; when OUN is served as synaptic input, coherence resonance only occurs only with a moderate diffusion coefficient: too large diffusion coefficient will not generate coherence resonance. These findings further our understanding of how neurons respond to different types of noises.
Keywords
Gaussian noise; bifurcation; coherence; diffusion; neurophysiology; white noise; Gaussian white noise; Hodgkin-Huxley neuron model; Ornstein-Uhlenbeck noise; coherence resonance; diffusion coefficient; membrane potential; saddle node bifurcation; spike train; synaptic current; variation coefficient; Automation; Biomembranes; Chromium; Coherence; Gaussian noise; Neurons; Resonance; Statistics; Tellurium; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4132-7
Electronic_ISBN
978-1-4244-4134-1
Type
conf
DOI
10.1109/BMEI.2009.5305366
Filename
5305366
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