What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? Neuroconstructivism is a pioneering 2 volume work that sets out a whole new framework for considering the complex topic of development, integrating data from cognitive studies, computational work, and neuroimaging.
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? Neuroconstructivism is a pioneering 2 volume work that sets out a whole new framework for considering the complex topic of development, integrating data from cognitive studies, computational work, and neuroimaging.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
* 1: Denis Mareschal, Sylvain Sirois, and Gert Westermann: Introduction * 2: James A Bednar and Risto Miikkulainen: Constructing visual function through prenatal and postnatal learning * 3: Melissa Dominguez and Robert A Jacobs: Learning the best first: interactions between visual development and learning * 4: Thomas R Shultz, Shreesh P Mysore, and 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 and 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 and Denis Mareschal: Conclusion - the future of neuroconstructivism
* 1: Denis Mareschal, Sylvain Sirois, and Gert Westermann: Introduction * 2: James A Bednar and Risto Miikkulainen: Constructing visual function through prenatal and postnatal learning * 3: Melissa Dominguez and Robert A Jacobs: Learning the best first: interactions between visual development and learning * 4: Thomas R Shultz, Shreesh P Mysore, and 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 and 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 and Denis Mareschal: Conclusion - the future of neuroconstructivism
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