Neuroscience and Connectionist Theory

Herausgeber: Gluck, Mark A; Rumelhart, David E

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 420
• Erscheinungstermin: 1. Februar 1990
• Englisch
• Abmessung: 230mm x 152mm x 28mm
• Gewicht: 676g
• ISBN-13: 9780805806199
• ISBN-10: 0805806199
• Artikelnr.: 23094348

Autorenporträt

Mark A. Gluck, David E. Rumelhart

Inhaltsangabe

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.