Literature DB >> 23363114

Reduction of internal noise in auditory perceptual learning.

Pete R Jones1, David R Moore, Sygal Amitay, Daniel E Shub.   

Abstract

This paper examines what mechanisms underlie auditory perceptual learning. Fifteen normal hearing adults performed two-alternative, forced choice, pure tone frequency discrimination for four sessions. External variability was introduced by adding a zero-mean Gaussian random variable to the frequency of each tone. Measures of internal noise, encoding efficiency, bias, and inattentiveness were derived using four methods (model fit, classification boundary, psychometric function, and double-pass consistency). The four methods gave convergent estimates of internal noise, which was found to decrease from 4.52 to 2.93 Hz with practice. No group-mean changes in encoding efficiency, bias, or inattentiveness were observed. It is concluded that learned improvements in frequency discrimination primarily reflect a reduction in internal noise. Data from highly experienced listeners and neural networks performing the same task are also reported. These results also indicated that auditory learning represents internal noise reduction, potentially through the re-weighting of frequency-specific channels.

Entities:  

Mesh:

Year:  2013        PMID: 23363114     DOI: 10.1121/1.4773864

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


  12 in total

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Journal:  J Neurosci       Date:  2014-03-12       Impact factor: 6.167

6.  Top-down modulation of sensory cortex gates perceptual learning.

Authors:  Melissa L Caras; Dan H Sanes
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7.  The role of response bias in perceptual learning.

Authors:  Pete R Jones; David R Moore; Daniel E Shub; Sygal Amitay
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2015-04-13       Impact factor: 3.051

8.  Development of auditory selective attention: why children struggle to hear in noisy environments.

Authors:  Pete R Jones; David R Moore; Sygal Amitay
Journal:  Dev Psychol       Date:  2015-03

9.  Effects of Physiological Internal Noise on Model Predictions of Concurrent Vowel Identification for Normal-Hearing Listeners.

Authors:  Mark S Hedrick; Il Joon Moon; Jihwan Woo; Jong Ho Won
Journal:  PLoS One       Date:  2016-02-11       Impact factor: 3.240

10.  The development of perceptual averaging: learning what to do, not just how to do it.

Authors:  Pete R Jones; Tessa M Dekker
Journal:  Dev Sci       Date:  2017-08-15
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