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Introduction | |
Constructing visual function through prenatal and postnatal learning | |
Learning the best first: interactions between visual development and learning | |
Why let networks grow? | |
Modeling cognitive developmental transitions in neural networks: bifurcations in an adaptive resonance theory model | |
Connectionism in an artificial life perspective: simulating motor, cognitive and language development | |
Using robots to study the mechanisms of imitation | |
What neuro-robotic models can teach us about neural and cognitive development | |
Phonological deficits and developmental language impairments: evidence from connectionist models | |
A neural network model of autism: implications for theory and treatment | |
Conclusion - the future of neuroconstructivism | |
Table of Contents provided by Publisher. All Rights Reserved. |
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