Literature DB >> 23599660

Vowel Formant Frequency Discrimination in Cats: Comparison of Auditory Nerve Representations and Psychophysical Thresholds.

Bradford J May1, Aileen Huang, Glenn LE Prell, Robert D Hienz.   

Abstract

Experiment 1 derived mathematical models for estimating the neural rate representation of changes in the second formant (F2) frequency of the vowel /ε/. Models were based on linear fits to response patterns of auditory-nerve fibers with high, medium and low spontaneous rates (SRs), as characterized in previous electrophysiological studies of anesthetized cats (Le Prell et al., 1996). Simulations were run at several vowel levels in quiet and in the presence of continuous background noise. Noise levels were adjusted to produce a constant signal-to-noise ratio (S/N) of 3 dB at each vowel level. A signal detection analysis of model outputs suggested that auditory-nerve fibers with low SR provided the best rate representation of changes in F2 frequency at higher vowel levels and in background noise. Experiment 2 examined the predictions of the auditory nerve model by measuring psychophysical thresholds for F2 frequency changes (ΔF2) in cats. Behavioral tests were performed at vowel levels of 31, 51, and 71 dB in continuous background noise at S/Ns of 3, 13, and 23 dB. ΔF2 increased with decreasing S/N at each of these three vowel levels. Trends in behavioral performance corresponded well with the quality of vowel representations that are provided by high SR auditory-nerve fibers at low vowel levels and low SR fibers at moderate-to-high levels.

Entities:  

Keywords:  frequency discrimination; signal detection; speech encoding; speech perception

Year:  1996        PMID: 23599660      PMCID: PMC3627498     

Source DB:  PubMed          Journal:  Audit Neurosci        ISSN: 1023-618X


  29 in total

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Authors:  R R Pfeiffer; D O Kim
Journal:  J Acoust Soc Am       Date:  1975-10       Impact factor: 1.840

2.  Representation of Vowel-like Spectra by Discharge Rate Responses of Individual Auditory-Nerve Fibers.

Authors:  Glenn LE Prell; Murray Sachs; Bradford May
Journal:  Audit Neurosci       Date:  1996-03-01

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Authors:  K K Osen
Journal:  J Comp Neurol       Date:  1969-08       Impact factor: 3.215

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Authors:  E M Keithley; R C Schreiber
Journal:  J Acoust Soc Am       Date:  1987-04       Impact factor: 1.840

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Authors:  M B Sachs; E D Young
Journal:  J Acoust Soc Am       Date:  1979-08       Impact factor: 1.840

6.  Comparison of spectral and nonspectral frequency difference limens for human and nonhuman primates.

Authors:  B E Pfingst
Journal:  J Acoust Soc Am       Date:  1993-04       Impact factor: 1.840

7.  Frequency discrimination in noise: comparison of cat performances with auditory-nerve models.

Authors:  R D Hienz; M B Sachs; C M Aleszczyk
Journal:  J Acoust Soc Am       Date:  1993-01       Impact factor: 1.840

8.  Rate representation and discriminability of second formant frequencies for /epsilon/-like steady-state vowels in cat auditory nerve.

Authors:  R A Conley; S E Keilson
Journal:  J Acoust Soc Am       Date:  1995-12       Impact factor: 1.840

9.  Effects of continuous noise backgrounds on rate response of auditory nerve fibers in cat.

Authors:  J A Costalupes; E D Young; D J Gibson
Journal:  J Neurophysiol       Date:  1984-06       Impact factor: 2.714

10.  Auditory-nerve response from cats raised in a low-noise chamber.

Authors:  M C Liberman
Journal:  J Acoust Soc Am       Date:  1978-02       Impact factor: 1.840

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  8 in total

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-03-12       Impact factor: 6.237

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Journal:  J Neurophysiol       Date:  2016-09-28       Impact factor: 2.714

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Review 6.  Use of the guinea pig in studies on the development and prevention of acquired sensorineural hearing loss, with an emphasis on noise.

Authors:  Gaëlle Naert; Marie-Pierre Pasdelou; Colleen G Le Prell
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 2.482

7.  Neurons and objects: the case of auditory cortex.

Authors:  Israel Nelken; Omer Bar-Yosef
Journal:  Front Neurosci       Date:  2008-07-07       Impact factor: 4.677

8.  Frequency response areas of neurons in the mouse inferior colliculus. III. Time-domain responses: Constancy, dynamics, and precision in relation to spectral resolution, and perception in the time domain.

Authors:  Marina A Egorova; Alexander G Akimov; Gleb D Khorunzhii; Günter Ehret
Journal:  PLoS One       Date:  2020-10-26       Impact factor: 3.240

  8 in total

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