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Computational Models of Binaural Processing

  • Chapter
Auditory Computation

Part of the book series: Springer Handbook of Auditory Research ((SHAR,volume 6))

Abstract

Computational models in this chapter are defined to include models that lead to explicit, quantitative predictions for the phenomena that are being modeled. They may be posed purely in terms of the information that is available for the task, in which case the computed predictions are evaluated using information-theoretical or other statistical communication theory techniques, or they may be posed in terms of mechanisms or algorithms. Both types of computational models are included in this chapter. We do not include models that have been suggested but not evaluated or models which are not sufficiently explicit to allow precise predictions.

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Authors
  1. H. Steven Colburn
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Editors and Affiliations

  1. Office of Naval Research, 800 N. Quincy Street, Arlington, VA, 22217, USA

    Harold L. Hawkins  & Teresa A. McMullen  & 

  2. Department of Zoology, University of Maryland, College Park, MD, 20742-9566, USA

    Arthur N. Popper

  3. Parmly Hearing Institute, Loyola University of Chicago, Chicago, IL, 60626, USA

    Richard R. Fay

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© 1996 Springer-Verlag New York, Inc.

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Colburn, H.S. (1996). Computational Models of Binaural Processing. In: Hawkins, H.L., McMullen, T.A., Popper, A.N., Fay, R.R. (eds) Auditory Computation. Springer Handbook of Auditory Research, vol 6. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4070-9_8

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