• 1. Introduction ; 2. Constructing visual function through prenatal and postnatal learning ; 3. Learning the best first: interactions between visual development and learning ; 4. Why let networks grow? ; 5. Modeling cognitive developmental transitions in neural networks: bifurcations in an adaptive resonance theory model ; 6. Connectionism in an artificial life perspective: simulating motor, cognitive and language development ; 7. Using robots to study the mechanisms of imitation ; 8. What neuro-robotic models can teach us about neural and cognitive development ; 9. Phonological deficits and developmental language impairments: evidence from connectionist models ; 10. A neural network model of autism: implications for theory and treatment ; 11. Conclusion - the future of neuroconstructivism

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• 1. Introduction ; 2. Constructing visual function through prenatal and postnatal learning ; 3. Learning the best first: interactions between visual development and learning ; 4. Why let networks grow? ; 5. Modeling cognitive developmental transitions in neural networks: bifurcations in an adaptive resonance theory model ; 6. Connectionism in an artificial life perspective: simulating motor, cognitive and language development ; 7. Using robots to study the mechanisms of imitation ; 8. What neuro-robotic models can teach us about neural and cognitive development ; 9. Phonological deficits and developmental language impairments: evidence from connectionist models ; 10. A neural network model of autism: implications for theory and treatment ; 11. Conclusion - the future of neuroconstructivism

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• 1. Introduction ; 2. Constructing visual function through prenatal and postnatal learning ; 3. Learning the best first: interactions between visual development and learning ; 4. Why let networks grow? ; 5. Modeling cognitive developmental transitions in neural networks: bifurcations in an adaptive resonance theory model ; 6. Connectionism in an artificial life perspective: simulating motor, cognitive and language development ; 7. Using robots to study the mechanisms of imitation ; 8. What neuro-robotic models can teach us about neural and cognitive development ; 9. Phonological deficits and developmental language impairments: evidence from connectionist models ; 10. A neural network model of autism: implications for theory and treatment ; 11. Conclusion - the future of neuroconstructivism

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