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    How do simple connectionist networks achieve a shift from “featural” to “correlational” processing in categorization?

    Thomas, Michael S.C. (2004) How do simple connectionist networks achieve a shift from “featural” to “correlational” processing in categorization? Infancy 5 (2), pp. 199-207. ISSN 1525-0008.

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    Abstract

    Three developmental connectionist models simulate a purported shift from “featural” to “correlational” processing in infant categorization (models: Gureckis& Love, 2004/this issue; Shultz & Cohen, 2004/this issue; Westermann & Mareschal, 2004/this issue; empirical data: Cohen & Arthur, 2003; Younger, 1985; Younger & Cohen, 1986). In this article, the way in which the models are able to simulate the behavioral data is revealed, and their respective theoretical commitments are evaluated. Together the models argue that the shift from featural to correlational processing in infant categorization might be illusory, as these models are able to replicate the key behavioral features while processing correlations right from the start. As such, they claim the behavioral description of a shift is not reflected at the level of mechanism.

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Research Centre: Birkbeck Knowledge Lab, Brain and Cognitive Development, Centre for (CBCD)
    Depositing User: Sarah Hall
    Date Deposited: 15 Mar 2012 15:44
    Last Modified: 02 Dec 2016 13:41
    URI: http://eprints.bbk.ac.uk/id/eprint/4634

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