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KMID : 1137820130340040218
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의공학회지
2013 Volume.34 No. 4 p.218 ~ p.225
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A study on Hair Bundle Feature Estimation Based on Negative Stiffness Mechanism Using Integrated Vestibular Hair Cell Model
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Kim Dong-Young
Hong Ki-Hwan
Kim Kyu-Sung
Lee Sang-Min
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Abstract
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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.
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KEYWORD
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Modeling, Vestibular hair cell, Afterhyperpolarization(AHP) model
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