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

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

Research output: Contribution to journalConference articlepeer-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 languageEnglish (US)
Pages (from-to)73-74
Number of pages2
JournalAdvances in Bioengineering, BED
Volume57
StatePublished - Jan 1 2005
Event2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 - Orlando, FL, United States
Duration: Nov 5 2005Nov 11 2005

Keywords

  • Basilar membrane
  • Fuzzy logic
  • Neural networks
  • Outer hair cell

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