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Neuroscience and Connectionist Theory

Edited by Mark A. Gluck, David E. Rumelhart

Psychology Press – 1990 – 424 pages

Series: Developments in Connectionist Theory Series

Purchasing Options:

  • Add to CartPaperback: $73.95
    978-0-8058-0619-9
    February 1st 1990
  • Add to CartHardback: $145.00
    978-0-8058-0504-8
    February 1st 1990
    Currently out of stock

Description

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.

Reviews

"…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

Contents

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.

Name: Neuroscience and Connectionist Theory (Paperback)Psychology Press 
Description: Edited by Mark A. Gluck, David E. Rumelhart. 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...
Categories: Connectionism/Neural Nets