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- Title
Autoassociator networks: insights into infant cognition.
- Authors
Sirois, Sylvain
- Abstract
This paper presents autoassociator neural networks. A first section reviews the architecture of these models, common learning rules, and presents sample simulations to illustrate their abilities. In a second section, the ability of these models to account for learning phenomena such as habituation is reviewed. The contribution of these networks to discussions about infant cognition is highlighted. A new, modular approach is presented in a third section. In the discussion, a role for these learning models in a broader developmental framework is proposed.
- Subjects
BIOLOGICAL neural networks; COGNITION in infants; INFANT psychology; DEVELOPMENTAL psychobiology; DEVELOPMENTAL biology; PSYCHOBIOLOGY
- Publication
Developmental Science, 2004, Vol 7, Issue 2, p133
- ISSN
1363-755X
- Publication type
Article
- DOI
10.1111/j.1467-7687.2004.00330.x