Research

Increased signal complexity improves the breadth of generalization in auditory perceptual learning


Reference:

Brown, D. J. and Proulx, M. J., 2013. Increased signal complexity improves the breadth of generalization in auditory perceptual learning. Neural Plasticity, 2013, 879047.

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    Official URL:

    http://dx.doi.org/10.1155/2013/879047

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    Abstract

    Perceptual learning can be specific to a trained stimulus or optimally generalized to novel stimuli with the breadth of generalization being imperative for how we structure perceptual training programs. Adapting an established auditory interval discrimination paradigm to utilise complex signals, we trained human adults on a standard interval for either 2, 4, or 10 days. We then tested the standard, alternate frequency, interval, and stereo input conditions to evaluate the rapidity of specific learning and breadth of generalization over the time course. In comparison with previous research using simple stimuli, the speed of perceptual learning and breadth of generalization were more rapid and greater in magnitude, including novel generalization to an alternate temporal interval within stimulus type. We also investigated the long term maintenance of learning and found that specific and generalized learning was maintained over 3 and 6 months. We discuss these findings regarding stimulus complexity in perceptual learning and how they can inform the development of effective training protocols.

    Details

    Item Type Articles
    CreatorsBrown, D. J.and Proulx, M. J.
    DOI10.1155/2013/879047
    Related URLs
    URLURL Type
    http://www.scopus.com/inward/record.url?scp=84890080792&partnerID=8YFLogxKUNSPECIFIED
    DepartmentsFaculty of Humanities & Social Sciences > Psychology
    Publisher StatementProulx_2013_Neural_Plasticity_879047.pdf: Copyright © 2013 David J. Brown and Michael J. Proulx. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    RefereedYes
    StatusPublished
    ID Code38087

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