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ERIC Number: EJ850505
Record Type: Journal
Publication Date: 2004-Apr
Pages: 8
Abstractor: As Provided
Reference Count: 25
ISSN: ISSN-1363-755X
Autoassociator Networks: Insights into Infant Cognition
Sirois, Sylvain
Developmental Science, v7 n2 p133-140 Apr 2004
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.
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A