Modelling asymmetric infant categorization with the representational acuity hypothesis

Leech, R. and Mareschal, Denis and Cooper, Richard P. (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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Official URL: https://doi.org/10.1142/9789812702784_0009

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 Faculties and Schools > Faculty of Science > School of Psychological Sciences
Depositing User:	Sarah Hall
Date Deposited:	17 Sep 2019 08:13
Last Modified:	02 Aug 2023 17:54
URI:	https://eprints.bbk.ac.uk/id/eprint/28976

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