Computational Modeling and What It Can Tell You About Behavior


Connectionist models represent powerful learning tools for understanding learning and development in infants and young children. In this case, we discuss two such models and how they have provided key insights into how infants and young children form perceptual object categories and how they come to represent objects in the world. Limitations of these specific models, the appeal of the connectionist modeling approach, and directions for future research are also discussed.

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