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http://dx.doi.org/10.9718/JBER.2013.34.4.218

A study on Hair Bundle Feature Estimation Based on Negative Stiffness Mechanism Using Integrated Vestibular Hair Cell Model  

Kim, Dongyoung (Department of Electronic Engineering, Inha University)
Hong, Kihwan (Institute for Information and Electronics Research, Inha University)
Kim, Kyu-Sung (Institute for Information and Electronics Research, Inha University)
Lee, Sangmin (Department of Electronic Engineering, Inha University)
Publication Information
Journal of Biomedical Engineering Research / v.34, no.4, 2013 , pp. 218-225 More about this Journal
Abstract
In this paper hair bundle feature model and integration method for hair cell models were proposed. The proposed hair bundle feature model was based on spring-damper-mass model. Input of integrated vestibular hair cell model was frequency and output was interspike interval of hair cell that was reflected the feature of hair bundles. Irregular afferents that had a great gain variation showed reduction of negative stiffness section. Regular afferents that had a small gain variation, however, showed same feature with base negative stiffness feature. As a result, integrated vestibular hair cell model showed almost the same modeling data with experimental data in the modeled eleven frequency bands. It is verified that the proposed model is a good model for hair bundle feature modeling.
Keywords
Modeling; Vestibular hair cell; Afterhyperpolarization(AHP) model;
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