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Models of brain function
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ISBN: 0521385032 Year: 1989 Publisher: Cambridge New York Sydney Cambridge University Press

The synaptic organization of the brain
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ISBN: 0195062566 Year: 1990 Publisher: New York Oxford Oxford University Press

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Directions for research
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ISBN: 0262011190 Year: 1990 Volume: 2 Publisher: Cambridge London MIT Press

Learning and categorization in modular neural networks
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ISBN: 0745012582 Year: 1992 Publisher: New York ; London ; Toronto Harvester Wheatsheaf

Corticonics : neural circuits of the cerebral cortex
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ISBN: 0521374766 0521376173 9780521376174 9780521374767 9780511574566 Year: 1991 Publisher: Cambridge: Cambridge university press,

Neural networks : computers with intuition
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ISBN: 9971509385 9971509393 981434303X 9789814343039 Year: 1990 Publisher: Singapore London Hong Kong World Scientific

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Both specialists and laymen will enjoy reading this book. Using a lively, non-technical style and images from everyday life, the authors present the basic principles behind computing and computers. The focus is on those aspects of computation that concern networks of numerous small computational units, whether biological neural networks or artificial electronic devices.

Brain circuits and functions of the mind : essays in honor of Roger W. Sperry
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ISBN: 0521378745 0521261023 Year: 1990 Publisher: Cambridge : Cambridge university press,

The neurobiology of neural networks
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ISBN: 0262071509 9780262290876 9780262517126 0262290871 9780262071505 Year: 1993 Volume: *5 Publisher: Cambridge ; London MIT press

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This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individual chapters were commissioned from selected authors to bridge the gap between present neural network models and the needs of neurophysiologists who are trying to use these models as part of their research on how the brain works.Daniel Gardner is Professor of Physiology and Biophysics at Cornell University Medical College.Contents: Introduction: Toward Neural Neural Networks, Daniel Gardner. Two Principles of Brain Organization: A Challenge for Artificial Neural Networks, Charles F. Stevens. Static Determinants of Synaptic Strength, Daniel Gardner. Learning Rules From Neurobiology, Douglas A. Baxter and John H. Byrne. Realistic Network Models of Distributed Processing in the Leech, Shawn R. Lockery and Terrence J. Sejnowski. Neural and Peripheral Dynamics as Determinants of Patterned Motor Behavior, Hillel J. Chiel and Randall D. Beer. Dynamic Neural Network Models of Sensorimotor Behavior, Eberhard E. Fetz.

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