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Psychophysical Constraints on Biophysical/Neural Models of Threshold

  • Chapter
Cochlear Implants

Abstract

Models of cochlear prosthesis function serve the purpose of specifying preferably in a mathematically tractable fashion, the relationship between the physical parameters of electrical stimulation and the psychophysical behavior of the subject. Given a perfect model, we should be ablet assign values to all relevant parameters of electrical stimulation and accurately predict the resulting psychophysical behavior. Two classes of models may be considered: phenomenological “black-box” models which make no assumptions about the intervening variables but simply try to characterize the relationship between the physical variables and the psychophysical behavior, and biophysical/neural models which attempt to specify the mechanisms that link the physical stimus to the behavior. In both classes of models, psychophysics plays the role of specifying values that the model must predict. In the case of biophysical/neural models, it may play the additional role of helping estimate to what extent the possible intervening variables influence the behavior. Table 11.1 lists some of the variables that may be considered in formulating a biophysical/neural model of electrical stimulation of the cochlea.

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Authors
  1. Bryan E. Pfingst
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Editors and Affiliations

  1. Kresge Hearing Research Institute, The University of Michigan, 48109-0506, Ann Arbor, MI, USA

    Josef M. Miller

  2. Center for Bioengineering Regional Primate Research Center, University of Washington, 98195, Seattle, WA, USA

    Francis A. Spelman

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© 1990 Springer-Verlag New York Inc.

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Pfingst, B.E. (1990). Psychophysical Constraints on Biophysical/Neural Models of Threshold. In: Miller, J.M., Spelman, F.A. (eds) Cochlear Implants. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3256-8_11

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  • DOI: https://doi.org/10.1007/978-1-4612-3256-8_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7936-5

  • Online ISBN: 978-1-4612-3256-8

  • eBook Packages: Springer Book Archive

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