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
"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
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