Estimating the Membrane Properties of Vestibular Type II Hair Cells using Continuous-time System Identification

Title: Estimating the Membrane Properties of Vestibular Type II Hair Cells using Continuous-time System Identification
Creator: Pan, Siqi; Welsh, James S.; Brichta, Alan M.; Drury, Hannah R.; Stoddard, Jeremy G
Relation: 21st IFAC World Congress 2020. Proceedings of the 21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, Vol. 53 No. 2 (Berlin, Germany 11-17 July, 2020) p. 548-553
Publisher Link: http://dx.doi.org/10.1016/j.ifacol.2020.12.477
Publisher: Elsevier
Resource Type: conference paper
Date: 2020
Description: In this paper we apply a continuous-time system identification method, known as the Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC), to the problem of estimating membrane properties of vestibular Type II hair cells. Due to the non-ideal characteristics of the experimental system, additional parameters, other than those of the membrane are required to be estimated. The SRIVC algorithm is modified to allow known poles and zeros to be forced into the estimator. This modified algorithm is then applied to the identification of the membrane properties of vestibular Type II hair cells, yielding results commensurate with typically accepted values.
Subject: system identification; continuous-time systems; instrumental variable method; biological systems
Identifier: http://hdl.handle.net/1959.13/1438648
Identifier: uon:40675
Language: eng
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