The Computational Brain
by Patricia Churchland and Terrence J. SejnowskiEdition: Reprint
Format: Paperback
Pub. Date: 1994-02-03
Publisher(s): Bradford Books
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Summary
The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field. A Bradford Book. Computational Neuroscience series
Table of Contents
| Series Foreword | |
| Preface | |
| Introduction | |
| Neuroscience Overview | |
| Introduction | |
| Levels in Nervous Systems | |
| Structure at Various Levels of Organization | |
| A Short List of Brain Facts | |
| Computational Overview | |
| Introduction | |
| Looking Up the Answer | |
| Linear Associators | |
| Constraint Satisfaction: Hopfield Networks and Boltzmann Machines | |
| Learning in Neural Nets | |
| Competitive Learning | |
| Curve Fitting | |
| Feedforward Nets: Two Examples | |
| Recurrent Nets | |
| From Toy World to Real World | |
| What Good are Optimazation Procedures to Neuroscience? | |
| Models: Realistic and | |
| Abstract | |
| Concluding Remarks | |
| Selected Readings | |
| Selected Journals | |
| Representing the World | |
| Introduction | |
| Constructing a Visual World | |
| Thumbnail Sketch of the Mammalian Visual System | |
| Representing in the Brain: What Can We Learn from the Visual System? | |
| What Is So Special About Distribution? | |
| World Enough and Time | |
| Shape From Shading: A Neurocomputational Study | |
| Stereo Vision | |
| Computational Models of Stereo Vision | |
| Hyperacuity: From Mystery to Mechanism | |
| Vector Averaging | |
| Concluding Remarks | |
| Selected Readings | |
| Plasticity: Cells, Circuits, Brains, and Behavior | |
| Introduction | |
| Learning and the Hippocampus | |
| Donald Hebb and Synaptic Plasticity | |
| Memories are Made of This: Mechanisms of Neuronal Plasticity | |
| Cells and Circuts | |
| Decreasing Synaptic Strength | |
| Back to Systems and Behavior | |
| Being and Timing | |
| Development of Nervous Systems | |
| Modules and Networks | |
| Selected Readings | |
| Sensorimotor Integration | |
| Introduction | |
| Leechnet | |
| Computation and the Vestibulo-Ocular Reflex | |
| Time and Time Again | |
| The Segmental Swimming Oscillator | |
| Modeling the Neuron | |
| Concluding Remarks | |
| Concluding and Beyond | |
| Afterword | |
| Appendix Anatomical and Physiological Techniques | |
| Permanent Lesions | |
| Human Studies | |
| Animal Models | |
| Reversible Lseions and Microlesions | |
| Imaging Techniques | |
| Gross Electrical and Magnetic Recording | |
| Single-Unit Recording | |
| Anatomical Tract Tracing | |
| Notes | |
| Glossary | |
| References | |
| Index | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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