Year: 2011
Type: article
Abstract: We introduce a connectionist model of cued multimodal learning in infants. Its architecture is inspired by computational studies coming both from the fields of infant habituation and of visual attention. The model embodies in its simplest form the notion that the attentional system involves competitive networks (Lee et al., 1999). Using this model, we reproduce infant behavioral results from Wu and Kirkham (2010), which found different learning effects with social, non-social, and no attentional cueing. We show that these learning differences can be explained by the amount of information let through from non-cued locations. We discuss these results and future lines of research on this computational work.
Authors: Thomas Hannagan, Rachel Wu
Institution: Birkbeck, University of London
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2576452649