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    Infant habituation: a review of current computational models and a new proposal

    Sirois, S. and Mareschal, Denis (2002) Infant habituation: a review of current computational models and a new proposal. In: Bullinaria, J. (ed.) Proceedings of the Seventh Neural Computation and Psychology Workshop (NCPW7). London, UK: World Scientific Press, pp. 90-103. ISBN 9789812380371.

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    Abstract

    Habituation paradigms have become popular tools to investigate early cognitive abilities in infants. However, the level of interpretation that should be used in explaining habituation phenomena has been the object of much debate in recent years. Several neural network models of infant habituation phenomena have been proposed, and some of these are explicitly aimed at this issue. We argue that none of the previous models offer either a necessary or sufficient account of infant habituation. We look at the constraints from the behavioural and neural sciences that bound interpretations of habituation and familiarisation tasks. The main features identified at the neural level are selective inhibition in the hippocampal system, and a dynamic interaction between these subcortical processes and cortical regions. At the behavioural level, proper models should capture the temporal unfolding of responses, their exponential decrease, a shift from familiarity preference to novelty preference, the habituation of novelty preference, and the ability to discriminate between habituated stimuli. A neural network model built around these constraints is presented.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Depositing User: Sarah Hall
    Date Deposited: 17 Sep 2019 09:45
    Last Modified: 17 Sep 2019 09:45
    URI: http://eprints.bbk.ac.uk/id/eprint/28981

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