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    Modelling asymmetric infant categorization with the representational acuity hypothesis

    Leech, R. and Mareschal, Denis and Cooper, R. (2004) Modelling asymmetric infant categorization with the representational acuity hypothesis. In: Howe, P. and Labouise, C. (eds.) Connectionist models of cognition and perception II: Proceedings of the Eighth Neural Computation and Psychology Workshop (NCPW8). London, UK: World Scientific, pp. 95-104. ISBN 9789812388056.

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    Abstract

    We present a neural network model that accounts for an observed asymmetry in the categorization of cats and dogs in 3-4 month old infants. The model establishes a link between infant behaviour and mechanisms of cortical processing. Based on developmental change in the cortex the model predicts behavioural change in infants between 3 and 10 months of age.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Depositing User: Sarah Hall
    Date Deposited: 17 Sep 2019 08:13
    Last Modified: 17 Sep 2019 08:13
    URI: http://eprints.bbk.ac.uk/id/eprint/28976

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