Literature DB >> 7085487

Reverse correlation study of cochlear filtering in normal and pathological guinea pig ears.

R V Harrison, E F Evans.   

Abstract

The filtering properties of single cochlear fibres have been determined in normal and kanamycin-treated guinea pigs using the reverse correlation technique. This method allows investigation of filtering over a wide dynamic range. For normal guinea pig fibres, the near threshold filter functions obtained with this method correspond to the tone derived frequency threshold curves ((FTCs). The 10 dB bandwidth of the filter functions increased monotonically with increasing noise levels above threshold. Thus with noise levels at approximately 50 dB above threshold, the 10 dB bandwidth had increased by a factor of 1.3--3. The changes in 3 dB bandwidth with increasing levels were, for some fibres, different from those of the 10 dB bandwidths. For the pathological fibres, the derived filter functions corresponded to their tone determined FTCs, and were therefore comparatively broadly tuned. Their tuning (Q10dB) approximated to those of normal fibres when the latter were measured 60 dB or more above threshold (i.e., at similar levels of stimulus), and did not increase further with increase in level. The findings in the normal guinea pig are consistent with those obtained by others in rodents, but are not consistent with those from the cat, where normal filtering is more robust to high levels of stimulus noise.

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Year:  1982        PMID: 7085487     DOI: 10.1016/0378-5955(82)90062-4

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  8 in total

1.  Wiener kernels of chinchilla auditory-nerve fibers: verification using responses to tones, clicks, and noise and comparison with basilar-membrane vibrations.

Authors:  Andrei N Temchin; Alberto Recio-Spinoso; Pim van Dijk; Mario A Ruggero
Journal:  J Neurophysiol       Date:  2005-01-19       Impact factor: 2.714

2.  Level dependence of auditory filters in nonsimultaneous masking as a function of frequency.

Authors:  Andrew J Oxenham; Andrea M Simonson
Journal:  J Acoust Soc Am       Date:  2006-01       Impact factor: 1.840

3.  Nonlinear feedback models for the tuning of auditory nerve fibers.

Authors:  L H Carney; M Friedman
Journal:  Ann Biomed Eng       Date:  1996 May-Jun       Impact factor: 3.934

4.  Labile cochlear tuning in the mustached bat. II. Concomitant shifts in neural tuning.

Authors:  R F Huffman; O W Henson
Journal:  J Comp Physiol A       Date:  1993-01       Impact factor: 1.836

5.  Use of pseudorandom noise in studies of frequency selectivity: the periphery of the auditory system.

Authors:  A R Møller
Journal:  Biol Cybern       Date:  1983       Impact factor: 2.086

6.  Excitatory, inhibitory and facilitatory frequency response areas in the inferior colliculus of hearing impaired mice.

Authors:  Richard A Felix; Christine V Portfors
Journal:  Hear Res       Date:  2007-03-02       Impact factor: 3.208

7.  Response characteristics in the apex of the gerbil cochlea studied through auditory nerve recordings.

Authors:  Corstiaen P C Versteegh; Sebastiaan W F Meenderink; Marcel van der Heijden
Journal:  J Assoc Res Otolaryngol       Date:  2011-01-07

8.  Variation in the phase of response to low-frequency pure tones in the guinea pig auditory nerve as functions of stimulus level and frequency.

Authors:  Alan R Palmer; Trevor M Shackleton
Journal:  J Assoc Res Otolaryngol       Date:  2008-12-18
  8 in total

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