Literature DB >> 29395616

A phenomenological model of the synapse between the inner hair cell and auditory nerve: Implications of limited neurotransmitter release sites.

Ian C Bruce1, Yousof Erfani2, Muhammad S A Zilany3.   

Abstract

Peterson and Heil [Hear. Res., In Press] have argued that the statistics of spontaneous spiking in auditory nerve fibers (ANFs) can be best explained by a model with a limited number of synaptic vesicle docking (release) sites (∼4) and a relatively-long average redocking time (∼16-17 ms) for each of the sites. In this paper we demonstrate how their model can be: i) generalized to also describe sound-driven ANF responses and ii) incorporated into a well-established and widely-used model of the entire auditory periphery [Zilany et al., J. Acoust. Soc. Am. 135, 283-286, 2014]. The responses of the new model exhibit substantial improvement in several measures of ANF spiking statistics, and predicted physiological forward-masking and rate-level functions from the new model structure are shown to also better match published physiological data.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Auditory model; Neurotransmitter vesicle release; Refractoriness; Renewal process; Spike timing statistics; Synapse

Mesh:

Year:  2017        PMID: 29395616     DOI: 10.1016/j.heares.2017.12.016

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


  17 in total

1.  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

2.  The role of pitch and harmonic cancellation when listening to speech in harmonic background sounds.

Authors:  Daniel R Guest; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2019-05       Impact factor: 1.840

3.  Neural fluctuation cues for simultaneous notched-noise masking and profile-analysis tasks: Insights from model midbrain responses.

Authors:  Braden N Maxwell; Virginia M Richards; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2020-05       Impact factor: 1.840

4.  Modeling the effects of age and hearing loss on concurrent vowel scores.

Authors:  Harshavardhan Settibhaktini; Michael G Heinz; Ananthakrishna Chintanpalli
Journal:  J Acoust Soc Am       Date:  2021-11       Impact factor: 1.840

5.  High-resolution temporal weighting of interaural time differences in speech.

Authors:  Lucas S Baltzell; Virginia Best
Journal:  J Acoust Soc Am       Date:  2021-08       Impact factor: 2.482

6.  Cortical adaptation to sound reverberation.

Authors:  Ben D B Willmore; Kerry M M Walker; Nicol S Harper; Aleksandar Z Ivanov; Andrew J King
Journal:  Elife       Date:  2022-05-26       Impact factor: 8.713

7.  Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception.

Authors:  Mark R Saddler; Ray Gonzalez; Josh H McDermott
Journal:  Nat Commun       Date:  2021-12-14       Impact factor: 17.694

8.  Speech Categorization Reveals the Role of Early-Stage Temporal-Coherence Processing in Auditory Scene Analysis.

Authors:  Vibha Viswanathan; Barbara G Shinn-Cunningham; Michael G Heinz
Journal:  J Neurosci       Date:  2021-11-11       Impact factor: 6.709

9.  Binaural sensitivity and release from speech-on-speech masking in listeners with and without hearing loss.

Authors:  Lucas S Baltzell; Jayaganesh Swaminathan; Adrian Y Cho; Mathieu Lavandier; Virginia Best
Journal:  J Acoust Soc Am       Date:  2020-03       Impact factor: 1.840

10.  A convolutional neural-network framework for modelling auditory sensory cells and synapses.

Authors:  Fotios Drakopoulos; Deepak Baby; Sarah Verhulst
Journal:  Commun Biol       Date:  2021-07-01
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