Table of Contents

1: Denis Mareschal, Sylvain Sirois, & Gert Westermann: Introduction
2: James A Bednar & Risto Miikkulainen: Constructing visual function through prenatal and postnatal learning
3: Melissa Dominguez & Robert A Jacobs: Learning the best first: interactions between visual development and learning
4: Thomas R Shultz, Shreesh P Mysore & Steven R Quartz: Why let networks grow?
5: Maartje E J Raijmakers: Modeling cognitive developmental transitions in neural networks: bifurcations in an adaptive resonance theory model
6: Matthew Schlesinger & Domenico Parisi: Connectionism in an artificial life perspective: simulating motor, cognitive and language development
7: Yiannis Demiris: Using robots to study the mechanisms of imitation
8: Olaf Sporns: What neuro-robotic models can teach us about neural and cognitive development
9: Marc F Joanisse: Phonological deficits and developmental language impairments: evidence from connectionist models
10: Ira L Cohen: A neural network model of autism: implications for theory and treatment
11: Mark H Johnson & Denis Mareschal: Conclusion - the future of neuroconstructivism

Reviews

"A very exciting and important book, and a significant advance in our understanding of brain and behavioral development." --Jeff Elman, Professor of Cognitive Science, University of California, San Diego
"Manages to provide specific useful information and does so while maintaining a connection to functional issues. For more advanced readers interested in computational modeling, this book provides a worthwhile read."--Doody's