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Neuroscience and Connectionist Theory: Developments in Connectionist Theory Series

Editat de Mark A. Gluck, David E. Rumelhart
en Limba Engleză Paperback – feb 1990
Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.
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Specificații

ISBN-13: 9780805806199
ISBN-10: 0805806199
Pagini: 424
Ilustrații: illustrations
Dimensiuni: 152 x 229 x 28 mm
Greutate: 0.68 kg
Ediția:1
Editura: Taylor & Francis
Colecția Psychology Press
Seria Developments in Connectionist Theory Series

Locul publicării:Oxford, United Kingdom

Public țintă

Professional

Cuprins

Contents: B.L. McNaughton, L. Nadel, Hebb-Marr Networks and the Neurobiological Representation of Action in Space. M.F. Bear, L.N. Cooper, Molecular Mechanisms for Synaptic Modification in the Visual Cortex: Interaction Between Theory and Experiment. R. Granger, J. Ambros-Ingerson, U. Staubli, G. Lynch, Memorial Operation of Multiple, Interacting Simulated Brain Structures. M.A. Gluck, E.S. Reifsnider, R.F. Thompson, Adaptive Signal Processing and the Cerebellum: Models of Classical Conditioning and VOR Adaptation. W.B. Levy, C.M. Colbert, N.L. Desmond, Elemental Adaptive Processes of Neurons and Synapses: A Statistical/Computational Perspective. H.T. Wang, B. Mathur, C. Koch, I Thought I Saw It Move: Computing Optical Flow in the Primate Visual System. K.D. Miller, Correlation-Based Models of Neural Development. D. Zipser, Modeling Cortical Computation With Backpropagation.

Recenzii

"...provides good evidence that neuroscience continues to provide new inspiration for computational modelers."
Artificial Intelligence
"There are important messages that can be gleaned by contemplating the collection as a whole....The future of computational neuroscience over the long-term must involve psychologists if it is to maintatin relevance and intellectual rigor. Neuroscience and Connectionist Theory points the way."
Contemporary Psychology

Notă biografică

Mark A. Gluck, David E. Rumelhart

Descriere

Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena.