Neuroconstructivism Volume 2: Perspectives and Prospectives
Oxford University Press, 2007 - Psychology - 288 pages
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? They are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational modeling, and neuroimagingan approach until now seldom taken when considering child development. Neuroconstructivism is a major two-volume work that seeks to redress this balance, presenting an integrative new framework for considering development. In Volume One, the authors review up-to-date findings from neurobiology, brain imaging, child development, as well computer and robotic modeling to consider why children's thinking develops the way it does, and propose a new synthesis of development that is based on five key principles found to operate at many different levels of description. Their Neuroconstructivist framework also shows how developmental disorders, such as dyslexia, can arise from typical developmental processes operating under atypical constraints. Of central importance to Neuroconstructivism is the idea that computer and robotic models are vital tools for investigating the processes and mechanisms involved in learning and development. Volume Two illustrates the principles of Neuroconstructivist development through contributions from nine different labs across the world. This volume complements Volume One by providing concrete examples of how the Neuroconstructivist principles can be grounded in a diverse range of domains, and thereby shape the research agenda in each.
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Chairman Department of Risto Miikkulainen
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activity adaptation Adaptive Resonance Theory adult algorithm artificial neural networks auditory autism barn owl Bednar behaviour bifurcation biological brain CC networks chapter codes cognitive development complex cells computational models connectionist constraints correlated cortical cues data items deficits Demiris developmental transitions dopamine dynamical encoding environment error example excitatory experiments F2-node face Figure function genetic hidden units hippocampus HLISSOM hypothesis images impaired implemented infants inhibitory input patterns interaction Journal Knudsen labelled language layer learning midbrain Miikkulainen mirror neurons model C2M motor neural network model neurogenesis neuromodulation Neuroscience newborn organism orientation map output parameter Parisi past tense perception performance phonological pixels postnatal predictions problems processing Raijmakers receptive field representations response retinal robot rules schematic Science sensory sequence Shultz signal simulations sparse codes spatial frequency speech perception stage stereo stimuli structure synaptic task temporal theory vector velocity visual cortex