Literature DB >> 23716204

A computer model of the auditory periphery and its application to the study of hearing.

Raymond Meddis1, Wendy Lecluyse, Nicholas R Clark, Tim Jürgens, Christine M Tan, Manasa R Panda, Guy J Brown.   

Abstract

Computer models of the auditory periphery provide a tool for -formulating theories concerning the relationship between the physiology of the auditory system and the perception of sounds both in normal and impaired hearing. However, the time-consuming nature of their construction constitutes a major impediment to their use, and it is important that transparent models be available on an 'off-the-shelf' basis to researchers. The MATLAB Auditory Periphery (MAP) model aims to meet these requirements and be freely available. The model can be used to simulate simple psychophysical tasks such as absolute threshold, pitch matching and forward masking and those used to measure compression and frequency selectivity. It can be used as a front end to automatic speech recognisers for the study of speech in quiet and in noise. The model can also simulate theories of hearing impairment and be used to make predictions about the efficacy of hearing aids. The use of the software will be described along with illustrations of its application in the study of the psychology of hearing.

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Year:  2013        PMID: 23716204     DOI: 10.1007/978-1-4614-1590-9_2

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  7 in total

1.  The Role of Efferent Reflexes in the Efficient Encoding of Speech by the Auditory Nerve.

Authors:  Jacques Grange; Mengchao Zhang 张梦超; John Culling
Journal:  J Neurosci       Date:  2022-07-25       Impact factor: 6.709

2.  Abnormal Auditory Gain in Hyperacusis: Investigation with a Computational Model.

Authors:  Peter U Diehl; Roland Schaette
Journal:  Front Neurol       Date:  2015-07-15       Impact factor: 4.003

3.  Stochastic undersampling steepens auditory threshold/duration functions: implications for understanding auditory deafferentation and aging.

Authors:  Frédéric Marmel; Medardo A Rodríguez-Mendoza; Enrique A Lopez-Poveda
Journal:  Front Aging Neurosci       Date:  2015-05-15       Impact factor: 5.750

4.  A Model-Based Approach for Separating the Cochlear Microphonic from the Auditory Nerve Neurophonic in the Ongoing Response Using Electrocochleography.

Authors:  Tatyana E Fontenot; Christopher K Giardina; Douglas C Fitzpatrick
Journal:  Front Neurosci       Date:  2017-10-23       Impact factor: 4.677

5.  Spectro-Temporal Processing in a Two-Stream Computational Model of Auditory Cortex.

Authors:  Isma Zulfiqar; Michelle Moerel; Elia Formisano
Journal:  Front Comput Neurosci       Date:  2020-01-22       Impact factor: 2.380

6.  A Neuronal Network Model for Pitch Selectivity and Representation.

Authors:  Chengcheng Huang; John Rinzel
Journal:  Front Comput Neurosci       Date:  2016-06-16       Impact factor: 2.380

7.  Individual Differences in Peripheral Hearing and Cognition Reveal Sentence Processing Differences in Healthy Older Adults.

Authors:  Ira Kurthen; Martin Meyer; Matthias Schlesewsky; Ina Bornkessel-Schlesewsky
Journal:  Front Neurosci       Date:  2020-10-16       Impact factor: 4.677

  7 in total

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