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Sirois, Sylvain – Developmental Science, 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…
Descriptors: Simulation, Infants, Cognitive Processes, Cognitive Development