BIROn - Birkbeck Institutional Research Online

    What can developmental disorders tell us about the neurocomputational constraints that shape development? the case of Williams syndrome

    Karmiloff-Smith, Annette and Thomas, Michael S.C. (2003) What can developmental disorders tell us about the neurocomputational constraints that shape development? the case of Williams syndrome. Development and Psychopathology 15 (4), pp. 969-990. ISSN 0954-5794.

    [img]
    Preview
    Text
    2885.pdf - Accepted Version

    Download (610kB) | Preview

    Abstract

    The uneven cognitive phenotype in the adult outcome of Williams syndrome has led some researchers to make strong claims about the modularity of the brain and the purported genetically determined, innate specification of cognitive modules. Such arguments have particularly been marshaled with respect to language. We challenge this direct generalization from adult phenotypic outcomes to genetic specification and consider instead how genetic disorders provide clues to the constraints on plasticity that shape the outcome of development. We specifically examine behavioral studies, brain imaging, and computational modeling of language in Williams syndrome but contend that our theoretical arguments apply equally to other cognitive domains and other developmental disorders. While acknowledging that selective deficits in normal adult patients might justify claims about cognitive modularity, we question whether similar, seemingly selective deficits found in genetic disorders can be used to argue that such cognitive modules are prespecified in infant brains. Cognitive modules are, in our view, the outcome of development, not its starting point. We note that most work on genetic disorders ignores one vital factor, the actual process of ontogenetic development, and argue that it is vital to view genetic disorders as proceeding under different neurocomputational constraints, not as demonstrations of static modularity.

    Statistics

    Downloads
    Activity Overview
    583Downloads
    102Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item