A neurq-fuzzy model for simulating outer hair cell of human cochlea

Balaje T. Thumati; D. Subbaram Naidu; Larry Stout

A neurq-fuzzy model for simulating outer hair cell of human cochlea

Balaje T. Thumati, D. Subbaram Naidu, Larry Stout

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Understanding the functioning of the human auditory system has been of interest for decades and many mathematical models have been developed based on experimental results. Many of these models address the key components of the human auditory system: outer ear, middle ear, and inner ear, which consists of cochlea and organ of corti. In this paper, a novel approach for human auditory model is developed that is based on the concepts of fuzzy logic for simulating basilar membrane and stereocilia, and a feed-forward neural network for simulating outer hair cell of the inner ear. Frequency, intensity and the direction of stereocilia movement are the three inputs to the fuzzy logic portion of the model. The output of this block is the net force, which becomes the input to the neural network. The implementation and simulated results using MATLAB® are presented.

Original language	English (US)
Pages (from-to)	73-74
Number of pages	2
Journal	Advances in Bioengineering, BED
Volume	57
State	Published - Jan 1 2005
Event	2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 - Orlando, FL, United States Duration: Nov 5 2005 → Nov 11 2005

Keywords

Basilar membrane
Fuzzy logic
Neural networks
Outer hair cell

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title = "A neurq-fuzzy model for simulating outer hair cell of human cochlea",

abstract = "Understanding the functioning of the human auditory system has been of interest for decades and many mathematical models have been developed based on experimental results. Many of these models address the key components of the human auditory system: outer ear, middle ear, and inner ear, which consists of cochlea and organ of corti. In this paper, a novel approach for human auditory model is developed that is based on the concepts of fuzzy logic for simulating basilar membrane and stereocilia, and a feed-forward neural network for simulating outer hair cell of the inner ear. Frequency, intensity and the direction of stereocilia movement are the three inputs to the fuzzy logic portion of the model. The output of this block is the net force, which becomes the input to the neural network. The implementation and simulated results using MATLAB{\textregistered} are presented.",

keywords = "Basilar membrane, Fuzzy logic, Neural networks, Outer hair cell",

author = "Thumati, {Balaje T.} and Naidu, {D. Subbaram} and Larry Stout",

year = "2005",

month = jan,

day = "1",

language = "English (US)",

volume = "57",

pages = "73--74",

journal = "Advances in Bioengineering, BED",

issn = "0360-9960",

note = "2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 ; Conference date: 05-11-2005 Through 11-11-2005",

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TY - JOUR

T1 - A neurq-fuzzy model for simulating outer hair cell of human cochlea

AU - Thumati, Balaje T.

AU - Naidu, D. Subbaram

AU - Stout, Larry

PY - 2005/1/1

Y1 - 2005/1/1

N2 - Understanding the functioning of the human auditory system has been of interest for decades and many mathematical models have been developed based on experimental results. Many of these models address the key components of the human auditory system: outer ear, middle ear, and inner ear, which consists of cochlea and organ of corti. In this paper, a novel approach for human auditory model is developed that is based on the concepts of fuzzy logic for simulating basilar membrane and stereocilia, and a feed-forward neural network for simulating outer hair cell of the inner ear. Frequency, intensity and the direction of stereocilia movement are the three inputs to the fuzzy logic portion of the model. The output of this block is the net force, which becomes the input to the neural network. The implementation and simulated results using MATLAB® are presented.

AB - Understanding the functioning of the human auditory system has been of interest for decades and many mathematical models have been developed based on experimental results. Many of these models address the key components of the human auditory system: outer ear, middle ear, and inner ear, which consists of cochlea and organ of corti. In this paper, a novel approach for human auditory model is developed that is based on the concepts of fuzzy logic for simulating basilar membrane and stereocilia, and a feed-forward neural network for simulating outer hair cell of the inner ear. Frequency, intensity and the direction of stereocilia movement are the three inputs to the fuzzy logic portion of the model. The output of this block is the net force, which becomes the input to the neural network. The implementation and simulated results using MATLAB® are presented.

KW - Basilar membrane

KW - Fuzzy logic

KW - Neural networks

KW - Outer hair cell

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M3 - Conference article

AN - SCOPUS:33645067402

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EP - 74

JO - Advances in Bioengineering, BED

JF - Advances in Bioengineering, BED

SN - 0360-9960

T2 - 2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005

Y2 - 5 November 2005 through 11 November 2005

ER -