Literature DB >> 11519576

Binaural processing model based on contralateral inhibition. I. Model structure.

J Breebaart1, S van de Par, A Kohlrausch.   

Abstract

This article presents a quantitative binaural signal detection model which extends the monaural model described by Dau et al. [J. Acoust. Soc. Am. 99, 3615-3622 (1996)]. The model is divided into three stages. The first stage comprises peripheral preprocessing in the right and left monaural channels. The second stage is a binaural processor which produces a time-dependent internal representation of the binaurally presented stimuli. This stage is based on the Jeffress delay line extended with tapped attenuator lines. Through this extension, the internal representation codes both interaural time and intensity differences. In contrast to most present-day models, which are based on excitatory-excitatory interaction, the binaural interaction in the present model is based on contralateral inhibition of ipsilateral signals. The last stage, a central processor, extracts a decision variable that can be used to detect the presence of a signal in a detection task, but could also derive information about the position and the compactness of a sound source. In two accompanying articles, the model predictions are compared with data obtained with human observers in a great variety of experimental conditions.

Entities:  

Mesh:

Year:  2001        PMID: 11519576     DOI: 10.1121/1.1383297

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


  30 in total

1.  Estimates of human cochlear tuning at low levels using forward and simultaneous masking.

Authors:  Andrew J Oxenham; Christopher A Shera
Journal:  J Assoc Res Otolaryngol       Date:  2003-07-10

2.  Perceptual sensitivity to high-frequency interaural time differences created by rustling sounds.

Authors:  Stephan D Ewert; Katharina Kaiser; Lavinia Kernschmidt; Lutz Wiegrebe
Journal:  J Assoc Res Otolaryngol       Date:  2011-11-29

3.  Ongoing temporal coding of a stochastic stimulus as a function of intensity: time-intensity trading.

Authors:  Pascal Michelet; Damir Kovacić; Philip X Joris
Journal:  J Neurosci       Date:  2012-07-11       Impact factor: 6.167

4.  Interaural fluctuations and the detection of interaural incoherence. IV. The effect of compression on stimulus statistics.

Authors:  Matthew J Goupell
Journal:  J Acoust Soc Am       Date:  2010-12       Impact factor: 1.840

Review 5.  Creating a sense of auditory space.

Authors:  David McAlpine
Journal:  J Physiol       Date:  2005-03-10       Impact factor: 5.182

6.  Interaural phase and level difference sensitivity in low-frequency neurons in the lateral superior olive.

Authors:  Daniel J Tollin; Tom C T Yin
Journal:  J Neurosci       Date:  2005-11-16       Impact factor: 6.167

7.  Binaural comodulation masking release: effects of masker interaural correlation.

Authors:  Joseph W Hall; Emily Buss; John H Grose
Journal:  J Acoust Soc Am       Date:  2006-12       Impact factor: 1.840

8.  Superposition of masking releases.

Authors:  Bastian Epp; Jesko L Verhey
Journal:  J Comput Neurosci       Date:  2008-11-28       Impact factor: 1.621

9.  Binaural signal detection, overall masking level, and masker interaural correlation: revisiting the internal noise hypothesis.

Authors:  Leslie R Bernstein; Constantine Trahiotis
Journal:  J Acoust Soc Am       Date:  2008-12       Impact factor: 1.840

10.  Statistical analyses of temporal information in auditory brainstem responses to tones in noise: correlation index and spike-distance metric.

Authors:  Yan Gai; Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2008-06-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.