Literature DB >> 24437768

Updated parameters and expanded simulation options for a model of the auditory periphery.

Muhammad S A Zilany1, Ian C Bruce2, Laurel H Carney3.   

Abstract

A phenomenological model of the auditory periphery in cats was previously developed by Zilany and colleagues [J. Acoust. Soc. Am. 126, 2390-2412 (2009)] to examine the detailed transformation of acoustic signals into the auditory-nerve representation. In this paper, a few issues arising from the responses of the previous version have been addressed. The parameters of the synapse model have been readjusted to better simulate reported physiological discharge rates at saturation for higher characteristic frequencies [Liberman, J. Acoust. Soc. Am. 63, 442-455 (1978)]. This modification also corrects the responses of higher-characteristic frequency (CF) model fibers to low-frequency tones that were erroneously much higher than the responses of low-CF model fibers in the previous version. In addition, an analytical method has been implemented to compute the mean discharge rate and variance from the model's synapse output that takes into account the effects of absolute refractoriness.

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Year:  2014        PMID: 24437768      PMCID: PMC3985897          DOI: 10.1121/1.4837815

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


  14 in total

1.  A phenomenological model for the responses of auditory-nerve fibers: I. Nonlinear tuning with compression and suppression.

Authors:  X Zhang; M G Heinz; I C Bruce; L H Carney
Journal:  J Acoust Soc Am       Date:  2001-02       Impact factor: 1.840

2.  An auditory-periphery model of the effects of acoustic trauma on auditory nerve responses.

Authors:  Ian C Bruce; Murray B Sachs; Eric D Young
Journal:  J Acoust Soc Am       Date:  2003-01       Impact factor: 1.840

3.  Temporal properties of responses to broadband noise in the auditory nerve.

Authors:  Dries H G Louage; Marcel van der Heijden; Philip X Joris
Journal:  J Neurophysiol       Date:  2004-05       Impact factor: 2.714

4.  Models and properties of power-law adaptation in neural systems.

Authors:  Patrick J Drew; L F Abbott
Journal:  J Neurophysiol       Date:  2006-04-26       Impact factor: 2.714

5.  Responses to amplitude-modulated tones in the auditory nerve of the cat.

Authors:  P X Joris; T C Yin
Journal:  J Acoust Soc Am       Date:  1992-01       Impact factor: 1.840

6.  Recovery from sound exposure in auditory-nerve fibers.

Authors:  E Young; M B Sachs
Journal:  J Acoust Soc Am       Date:  1973-12       Impact factor: 1.840

7.  Power-law dynamics in an auditory-nerve model can account for neural adaptation to sound-level statistics.

Authors:  Muhammad S A Zilany; Laurel H Carney
Journal:  J Neurosci       Date:  2010-08-04       Impact factor: 6.167

8.  A model for the responses of low-frequency auditory-nerve fibers in cat.

Authors:  L H Carney
Journal:  J Acoust Soc Am       Date:  1993-01       Impact factor: 1.840

9.  Sensitivity of auditory-nerve fibers to changes in intensity: a dichotomy between decrements and increments.

Authors:  R L Smith; M L Brachman; R D Frisina
Journal:  J Acoust Soc Am       Date:  1985-10       Impact factor: 1.840

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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  86 in total

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Authors:  Sarah Verhulst; Hari M Bharadwaj; Golbarg Mehraei; Christopher A Shera; Barbara G Shinn-Cunningham
Journal:  J Acoust Soc Am       Date:  2015-09       Impact factor: 1.840

2.  The neural encoding of formant frequencies contributing to vowel identification in normal-hearing listeners.

Authors:  Jong Ho Won; Kelly Tremblay; Christopher G Clinard; Richard A Wright; Elad Sagi; Mario Svirsky
Journal:  J Acoust Soc Am       Date:  2016-01       Impact factor: 1.840

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Journal:  J Neurophysiol       Date:  2015-09-23       Impact factor: 2.714

4.  Sensorineural Hearing Loss Diminishes Use of Temporal Envelope Cues: Evidence From Roving-Level Tone-in-Noise Detection.

Authors:  U-Cheng Leong; Douglas M Schwarz; Kenneth S Henry; Laurel H Carney
Journal:  Ear Hear       Date:  2020 Jul/Aug       Impact factor: 3.570

5.  Age-Related Changes in Processing Simultaneous Amplitude Modulated Sounds Assessed Using Envelope Following Responses.

Authors:  Aravindakshan Parthasarathy; Jesyin Lai; Edward L Bartlett
Journal:  J Assoc Res Otolaryngol       Date:  2016-02-23

6.  Nonlinear auditory models yield new insights into representations of vowels.

Authors:  Laurel H Carney; Joyce M McDonough
Journal:  Atten Percept Psychophys       Date:  2019-05       Impact factor: 2.199

7.  Cues for Diotic and Dichotic Detection of a 500-Hz Tone in Noise Vary with Hearing Loss.

Authors:  Junwen Mao; Kelly-Jo Koch; Karen A Doherty; Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2015-05-15

8.  Individual differences reveal correlates of hidden hearing deficits.

Authors:  Hari M Bharadwaj; Salwa Masud; Golbarg Mehraei; Sarah Verhulst; Barbara G Shinn-Cunningham
Journal:  J Neurosci       Date:  2015-02-04       Impact factor: 6.167

9.  Auditory distance coding in rabbit midbrain neurons and human perception: monaural amplitude modulation depth as a cue.

Authors:  Duck O Kim; Pavel Zahorik; Laurel H Carney; Brian B Bishop; Shigeyuki Kuwada
Journal:  J Neurosci       Date:  2015-04-01       Impact factor: 6.167

10.  The impact of peripheral mechanisms on the precedence effect.

Authors:  M Torben Pastore; Jonas Braasch
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

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