Literature DB >> 15807010

Encoding of vowel-like sounds in the auditory nerve: model predictions of discrimination performance.

Qing Tan1, Laurel H Carney.   

Abstract

The sensitivity of listeners to changes in the center frequency of vowel-like harmonic complexes as a function of the center frequency of the complex cannot be explained by changes in the level of the stimulus [Lyzenga and Horst, J. Acoust. Soc. Am. 98, 1943-1955 (1995)]. Rather, a complex pattern of sensitivity is seen; for a spectrum with a triangular envelope, the greatest sensitivity occurs when the center frequency falls between harmonics, whereas for a spectrum with a trapezoidal envelope, greatest sensitivity occurs when the center frequency is aligned with a harmonic. In this study, the thresholds of a population model of auditory-nerve (AN) fibers were quantitatively compared to these trends in psychophysical thresholds. Single-fiber and population model responses were evaluated in terms of both average discharge rate and the combination of rate and timing information. Results indicate that phase-locked responses of AN fibers encode phase transitions associated with minima in these amplitude-modulated stimuli. The temporal response properties of a single AN fiber, tuned to a frequency slightly above the center frequency of the harmonic complex, were able to explain the trends in thresholds for both triangular- and trapezoidal-shaped spectra.

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Year:  2005        PMID: 15807010      PMCID: PMC1404504          DOI: 10.1121/1.1856391

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  13 in total

1.  Frequency glides in the impulse responses of auditory-nerve fibers.

Authors:  L H Carney; M J McDuffy; I Shekhter
Journal:  J Acoust Soc Am       Date:  1999-04       Impact factor: 1.840

2.  Rate and timing cues associated with the cochlear amplifier: level discrimination based on monaural cross-frequency coincidence detection.

Authors:  M G Heinz; H S Colburn; L H Carney
Journal:  J Acoust Soc Am       Date:  2001-10       Impact factor: 1.840

3.  Evaluating auditory performance limits: i. one-parameter discrimination using a computational model for the auditory nerve.

Authors:  M G Heinz; H S Colburn; L H Carney
Journal:  Neural Comput       Date:  2001-10       Impact factor: 2.026

4.  Derivation of auditory filter shapes from notched-noise data.

Authors:  B R Glasberg; B C Moore
Journal:  Hear Res       Date:  1990-08-01       Impact factor: 3.208

5.  A cochlear frequency-position function for several species--29 years later.

Authors:  D D Greenwood
Journal:  J Acoust Soc Am       Date:  1990-06       Impact factor: 1.840

6.  Frequency discrimination of stylized synthetic vowels with a single formant.

Authors:  J Lyzenga; J W Horst
Journal:  J Acoust Soc Am       Date:  1997-09       Impact factor: 1.840

7.  Analysis of discharges recorded simultaneously from pairs of auditory nerve fibers.

Authors:  D H Johnson; N Y Kiang
Journal:  Biophys J       Date:  1976-07       Impact factor: 4.033

8.  Some implications of the stochastic behavior of primary auditory neurons.

Authors:  W M Siebert
Journal:  Kybernetik       Date:  1965-06

9.  A central spectrum model: a synthesis of auditory-nerve timing and place cues in monaural communication of frequency spectrum.

Authors:  P Srulovicz; J L Goldstein
Journal:  J Acoust Soc Am       Date:  1983-04       Impact factor: 1.840

10.  Differential sensitivity to vowel continua in Old World monkeys (Macaca) and humans.

Authors:  J M Sinnott; N A Kreiter
Journal:  J Acoust Soc Am       Date:  1991-05       Impact factor: 1.840

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  5 in total

1.  Predictions of formant-frequency discrimination in noise based on model auditory-nerve responses.

Authors:  Qing Tan; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2006-09       Impact factor: 1.840

2.  Modeling the time-varying and level-dependent effects of the medial olivocochlear reflex in auditory nerve responses.

Authors:  Christopher J Smalt; Michael G Heinz; Elizabeth A Strickland
Journal:  J Assoc Res Otolaryngol       Date:  2013-12-05

3.  Midbrain Synchrony to Envelope Structure Supports Behavioral Sensitivity to Single-Formant Vowel-Like Sounds in Noise.

Authors:  Kenneth S Henry; Kristina S Abrams; Johanna Forst; Matthew J Mender; Erikson G Neilans; Fabio Idrobo; Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2016-10-20

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Authors:  Anusha Yellamsetty; Gavin M Bidelman
Journal:  Brain Res       Date:  2019-02-20       Impact factor: 3.252

5.  Deep Neural Network Model of Hearing-Impaired Speech-in-Noise Perception.

Authors:  Stephanie Haro; Christopher J Smalt; Gregory A Ciccarelli; Thomas F Quatieri
Journal:  Front Neurosci       Date:  2020-12-15       Impact factor: 4.677

  5 in total

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