ArticleThe Journal of the Acoustical Society of America2019
An analytic physically motivated model of the mammalian cochlea.
Article in The Journal of the Acoustical Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- On the Sharpness of Auditory Filters: Considering Subclinical Deficits Reveals Sharper Otoacoustic Emission Estimates of Frequency Selectivity in Humans.Journal of the Association for Research in Otolaryngology : JARO · 2025Article
- Intracochlear overdrive: Characterizing nonlinear wave amplification in the mouse apex.The Journal of the Acoustical Society of America · 2023Article
- Relationship Between Behavioral and Stimulus Frequency Otoacoustic Emissions Delay-Based Tuning Estimates.Journal of speech, language, and hearing research : JSLHR · 2020Article
- Cochlear Tuning in Early Aging Estimated with Three Methods.Trends in hearingArticle
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2 authors.
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Abstract
In this paper, an analytic model of the mammalian cochlea is developed. A mixed physical-phenomenological approach by utilizing existing work on the physics of classical box-representations of the cochlea and behavior of recent data-derived wavenumber estimates is used. Spatial variation is incorporated through a single independent variable that combines space and frequency. This paper arrives at closed-form expressions for the organ of Corti velocity, its impedance, the pressure difference across the organ of Corti, and its wavenumber. Model tests using real and imaginary parts of chinchilla data from multiple locations and for multiple variables are performed. The model also predicts impedances that are qualitatively consistent with current literature. For implementation, the model can leverage existing efforts for both filter bank or filter cascade models that target improved algorithmic or analog circuit efficiencies. The simplicity of the cochlear model, its small number of model constants, its ability to capture the variation of tuning, its closed-form expressions for physically-interrelated variables, and the form of these expressions that allows for easily determining one variable from another make the model appropriate for analytic and digital auditory filter implementations as discussed here, as well as for extracting macromechanical insights regarding how the cochlea works.
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