The computational brain /

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Bibliographic Details
Author / Creator:Churchland, Patricia Smith
Imprint:Cambridge, Mass. : MIT Press, c1992.
Description:xi, 544 p. : ill. ; 27 cm.
Language:English
Series:Computational neuroscience
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/1399194
Hidden Bibliographic Details
Other authors / contributors:Sejnowski, Terrence J. (Terrence Joseph)
ISBN:0262031884
Notes:"A Bradford book."
Includes bibliographical references (p. [479]-523) and index.
Also available on the internet.
Table of Contents:
  • Series Foreword
  • Preface
  • Introduction
  • Neuroscience Overview
  • 1. Introduction
  • 2. Levels in Nervous Systems
  • 3. Structure at Various Levels of Organization
  • 4. A Short List of Brain Facts
  • Computational Overview
  • 1. Introduction
  • 2. Looking Up the Answer
  • 3. Linear Associators
  • 4. Constraint Satisfaction: Hopfield Networks and Boltzmann Machines
  • 5. Learning in Neural Nets
  • 6. Competitive Learning
  • 7. Curve Fitting
  • 8. Feedforward Nets: Two Examples
  • 9. Recurrent Nets
  • 10. From Toy World to Real World
  • 11. What Good are Optimazation Procedures to Neuroscience?
  • 12. Models: Realistic and
  • Abstract
  • 13. Concluding Remarks
  • Selected Readings
  • Selected Journals
  • Representing the World
  • 1. Introduction
  • 2. Constructing a Visual World
  • 3. Thumbnail Sketch of the Mammalian Visual System
  • 4. Representing in the Brain: What Can We Learn from the Visual System?
  • 5. What Is So Special About Distribution?
  • 6. World Enough and Time
  • 7. Shape From Shading: A Neurocomputational Study
  • 8. Stereo Vision
  • 9. Computational Models of Stereo Vision
  • 10. Hyperacuity: From Mystery to Mechanism
  • 11. Vector Averaging
  • 12. Concluding Remarks
  • Selected Readings
  • Plasticity: Cells, Circuits, Brains, and Behavior
  • 1. Introduction
  • 2. Learning and the Hippocampus
  • 3. Donald Hebb and Synaptic Plasticity
  • 4. Memories are Made of This: Mechanisms of Neuronal Plasticity
  • 5. Cells and Circuts
  • 6. Decreasing Synaptic Strength
  • 7. Back to Systems and Behavior
  • 8. Being and Timing
  • 9. Development of Nervous Systems
  • 10. Modules and Networks
  • Selected Readings
  • Sensorimotor Integration
  • 1. Introduction
  • 2. Leechnet
  • 3. Computation and the Vestibulo-Ocular Reflex
  • 4. Time and Time Again
  • 5. The Segmental Swimming Oscillator
  • 6. Modeling the Neuron
  • 7. Concluding Remarks
  • Concluding and Beyond
  • Afterword
  • Appendix Anatomical and Physiological Techniques
  • 1. Permanent Lesions
  • Human Studies
  • Animal Models
  • 2. Reversible Lseions and Microlesions
  • 3. Imaging Techniques
  • 4. Gross Electrical and Magnetic Recording
  • 5. Single-Unit Recording
  • 6. Anatomical Tract Tracing
  • Notes
  • Glossary
  • References
  • Index