Automatic Gain Control in Cochlear Mechanics

  • Richard F. Lyon
Part of the Lecture Notes in Biomathematics book series (LNBM, volume 87)

Abstract

Measurements of basilar membrane motion show that the cochlea has a strong compressive nonlinearity over a wide range of sound intensities, even down to low intensities where the system might be expected to be linear. Many models of cochlear hydrodynamics and micro-mechanics ignore this strong nonlinearity in order to be able to apply lincar systems concepts, sometimes resulting in inappropriate interpretations of cochlear function. We propose a modeling approach based on explicitly recognizing the purpose of the strong nonlinearity as an automatic gain control (AGC) that serves to map a huge dynamic range of physical stimuli into the limited dynamic range of nerve firings.

Keywords

Basilar Membrane Tuning Curve Automatic Gain Control Probe Tone Active Gain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Evans, E.F. (1977), “Frequency Selectivity at High Signal Levels of Single Units in Cochlear Nerve and Nucleus.” In: Psychophysics and Physiology of Hearing (Eds: Evans, E.F. and Wilson, J.P.) Academic Press, London, pp. 185–192.Google Scholar
  2. Kim, D.,., Molnar, C.E. and Pfeiffer, R.R. (1973), “A system of nonlinear differential equations modeling basilar-membrane motion.” J. Acoust. Soc. Am. 54: 1517–1529.Google Scholar
  3. Kim, D.,. (1984). “Functional Roles of the Inner-and Outer-Hair Cell Subsystems in the Cochlea and Brainstem.” In: Hearing Science (Ed: Berlin, C.) College-Hill Press, San Diego, pp. 241 - 261.Google Scholar
  4. Libennan, M.C., and Brown, M.C. (1986), “Physiology and anatomy of single olivocochlear neurons in the cat.” Hearing Res. 24: 17 - 36.CrossRefGoogle Scholar
  5. Lyon, R.F. (1982), “A Computational Model of Filtering, Detection, and Compression in the Cochlea.” Inti. Con. on AcousI.. Speech. and Sig. Proc., IEEE, Paris, pp. 1282 - 1285.Google Scholar
  6. Lyon, R.F. and Mead. C. (1988), “An Analog Electronic Cochlea.” IEEE Trans. Acoust. Speech and Sig. Proc. 36: 1119–1134.Google Scholar
  7. Mountain, D.C., Hubbard, A.E., and McMullen, T.A. (1983), “Electromechanical Processes in the Cochlea,” In: Mechanics of Hearing (Eds: de Boer, E. and Viergever, M.A.) Martinus Nijhoff, The Hague, pp. 119–126.CrossRefGoogle Scholar
  8. Robles, L., Ruggero, M.A. and Rich. N.C. (1986). “M()ssbauer measurements of the mechanical response to single-tone and two-tone stimuli at the base of the chinchilla cochlea.” In: Peripheral Auditory Mechanisms (Eds: Allen, J.B. et al.) SpringerVerlag, New York, pp. 121–128.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Richard F. Lyon
    • 1
    • 2
  1. 1.Advanced Technology GroupApple Computer, Inc.CupertinoUSA
  2. 2.Computer Science DepartmentCalifornia Institute of TechnologyPasadenaUSA

Personalised recommendations