Literature DB >> 16454295

Auditory-nerve first-spike latency and auditory absolute threshold: a computer model.

Ray Meddis1.   

Abstract

A computer model of the auditory periphery was used to address the question of what constitutes the physiological substrate of absolute auditory threshold. The model was first evaluated to show that it is consistent with experimental findings that auditory-nerve fiber spikes can be predicted to occur when the running integral of stimulus pressure reaches some critical value [P. Heil and H. Neubauer, J. Neurosci. 15, 7404-7415 (2001)]. It was then modified to examine two ways in which the accumulation and clearance of receptor presynaptic calcium might explain this effect. Both methods gave results that matched the animal data. It was also shown how the rate of clearance of presynaptic calcium could be used to explain the origin of differences between low and high spontaneous-rate fiber types. When spiking activity is aggregated across a number of similar high spontaneous-rate fibers and used as the input to a model of a cochlear nucleus coincidence neuron, its response can be used to judge whether or not a stimulus is present. A simulated psychophysical experiment then demonstrated that this simple decision procedure can reproduce measurements of absolute auditory threshold for tones in quiet where the threshold is a joint function of both time and level.

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Year:  2006        PMID: 16454295     DOI: 10.1121/1.2139628

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


  26 in total

1.  Modeling the anti-masking effects of the olivocochlear reflex in auditory nerve responses to tones in sustained noise.

Authors:  Ananthakrishna Chintanpalli; Skyler G Jennings; Michael G Heinz; Elizabeth A Strickland
Journal:  J Assoc Res Otolaryngol       Date:  2012-04

2.  Comparison of absolute thresholds derived from an adaptive forced-choice procedure and from reaction probabilities and reaction times in a simple reaction time paradigm.

Authors:  Peter Heil; Heinrich Neubauer; Andreas Tiefenau; Hellmut von Specht
Journal:  J Assoc Res Otolaryngol       Date:  2006-07-06

3.  Spontaneous activity of auditory-nerve fibers: insights into stochastic processes at ribbon synapses.

Authors:  Peter Heil; Heinrich Neubauer; Dexter R F Irvine; Mel Brown
Journal:  J Neurosci       Date:  2007-08-01       Impact factor: 6.167

4.  Threshold and beyond: modeling the intensity dependence of auditory responses.

Authors:  Bernd Lütkenhöner
Journal:  J Assoc Res Otolaryngol       Date:  2007-11-14

5.  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

6.  Phase Locking of Auditory-Nerve Fibers Reveals Stereotyped Distortions and an Exponential Transfer Function with a Level-Dependent Slope.

Authors:  Adam J Peterson; Peter Heil
Journal:  J Neurosci       Date:  2019-03-13       Impact factor: 6.167

7.  Emphasis of spatial cues in the temporal fine structure during the rising segments of amplitude-modulated sounds II: single-neuron recordings.

Authors:  Mathias Dietz; Torsten Marquardt; Annette Stange; Michael Pecka; Benedikt Grothe; David McAlpine
Journal:  J Neurophysiol       Date:  2014-02-19       Impact factor: 2.714

8.  Ion channel noise can explain firing correlation in auditory nerves.

Authors:  Bahar Moezzi; Nicolangelo Iannella; Mark D McDonnell
Journal:  J Comput Neurosci       Date:  2016-08-02       Impact factor: 1.621

9.  The Neural Bases of Tinnitus: Lessons from Deafness and Cochlear Implants.

Authors:  Marlies Knipper; Pim van Dijk; Holger Schulze; Birgit Mazurek; Patrick Krauss; Verena Scheper; Athanasia Warnecke; Winfried Schlee; Kerstin Schwabe; Wibke Singer; Christoph Braun; Paul H Delano; Andreas J Fallgatter; Ann-Christine Ehlis; Grant D Searchfield; Matthias H J Munk; David M Baguley; Lukas Rüttiger
Journal:  J Neurosci       Date:  2020-09-16       Impact factor: 6.167

10.  Why longer song elements are easier to detect: threshold level-duration functions in the Great Tit and comparison with human data.

Authors:  Nina U Pohl; Hans Slabbekoorn; Heinrich Neubauer; Peter Heil; Georg M Klump; Ulrike Langemann
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-01-22       Impact factor: 1.836

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