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MODELLING ASYMMETRIC INFANT CATEGORIZATION WITH THE REPRESENTATIONAL ACUITY HYPOTHESIS

    https://doi.org/10.1142/9789812702784_0009Cited by:0 (Source: Crossref)
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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.