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Neuroconstructivism - II
Perspectives and Prospects
Denis Mareschal, Sylvain Sirois, Gert Westermann, and Mark H. Johnson
288 pages
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52 line illustrations and 14 black & white photographs
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234x156mm
978-0-19-852993-4
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Paperback
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18 January 2007
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This item is printed to order and supplied on a firm sale basis. Items which are printed to order are normally despatched and charged within 5-10 days.
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- A landmark work in developmental psychology/neuroscience, providing wholly original, integrative approach to understanding development by leading researchers in the field
- Comprised of 2 volumes - one laying out the framework for this new approach, the reason for it, and the possibilites. Volume 2 presents cutting edge research from around the world, demonstrating how the framework can shape research in development for years to come
- Integrates work from neuroscience, cognitive science, artificial intelligence, robotics, and developmental psychology to provide a rich analysis of human development
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? The processes that occur along the way are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational work, and neuroimaging - an approach till now seldom taken in the study of child development.
Neuroconstructivism is a major new 2 volume publication that seeks to redress this balance, presenting an integrative new framework
for considering development. Computer and robotic models provide concrete tools for investigating the processes and mechanisms involved in learning and development. Volume 2 illustrates the principles of Neuroconstructivist development, with contributions from 9 different labs across the world. Each of the contributions illustrates how models play a central role in understanding development. The models presented include standard connectionist neural network models as well as multi-agent models. Also included are robotic models emphasizing the need to take embodiment and brain-system interactions seriously. A model of Autism and one of Specific Language Impairment also illustrate how atypical development can be understood in terms of the typical processes of development but operating under
restricted conditions. This volume complements Volume 1 by providing concrete examples of how the Neuroconstructivist principles can be grounded within a diverse range of domains, thereby shaping the research agenda in those domains.Readership: Researchers and students in cognitive science, cognitive neuroscience, AI, computer science, and robotics
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Denis Mareschal, Centre for Brain and Cognitive Development, Birkbeck College, University of London, UK, Sylvain Sirois, School of Psychological Sciences, University of Manchester, UK, Gert Westermann, Department of Psychology, Oxford Brookes University, UK, and Mark H. Johnson, Centre for Brain & Cognitive Development, Birkbeck College, University of London, UK Contributors:
James A Bednar, Institute for Adaptive & Neural Computation, University of Edinburgh Ira L Cohen, Ph.D., Chairman, Dept of Psychology, NYS Institute for Basic Research in Developmental Disabilities Yiannis Demiris,
Dept of Electrical & Electronic Engineering, Imperial College, London Melissa Dominguez, DBK Acoustics Robert A Jacobs, Dept of Brain & Cognitive Sciences, University of Rochester Marc Joanisse, Dept of Psychology and Program in Neuroscience, The University of Western Ontario Mark H Johnson, Centre for Brain and Cognitive Development, Birkbeck College, University of London Denis Mareschal, Centre for Brain and Cognitive Development, Birkbeck College, University of London Risto Miikkulainen, Dept of Computer Sciences, The University of Texas at Austin Shreesh P Mysore, Control & Dynamical Systems Program, California Insitute of Technology Domenico Parisi, Institute of Cognitive Sciences and Technologies, Italian National Research Council Steven R Quartz, Division of the Humanities and
Social Sciences, and Computation and Neural System Program, California Institute of Technology Maartje E J Raijmakers, Dept of Psychology, University of Amsterdam Matthew Schlesinger, Brain and Cognitive Sciences Program, Dept of Psychology, Southern Illinois University, Carbondale Thomas R Shultz, Dept of Psychology and School of Computer Science, McGill University Sylvain Sirois, School of Psychological Sciences, University of Manchester Olaf Sporns, Dept of Psychological and Brain Sciences, Indiana University, Bloomington Gert Westermann, Dept of Psychology, Oxford Brookes University
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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
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