Autoassociator networks: insights into infant cognition
Article first published online: 12 MAR 2004
Volume 7, Issue 2, pages 133–140, April 2004
How to Cite
Sirois, S. (2004), Autoassociator networks: insights into infant cognition. Developmental Science, 7: 133–140. doi: 10.1111/j.1467-7687.2004.00330.x
- Issue published online: 12 MAR 2004
- Article first published online: 12 MAR 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.