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The Computational Brain(1994) 요약정보 및 구매

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지은이 Churchland
발행년도 1994-03-09
판수 Reprint판
페이지 560
ISBN 9780262531207
도서상태 구매가능
판매가격 45,280원
포인트 0점
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  • The Computational Brain(1994)
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  • How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain. 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. The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework.Computer models constrained by neurobiological data can help reveal how -networks of neurons subserve perception and behavior - bow their physical interactions can yield global results in perception and behavior, and how their physical properties are used to code information and compute solutions. The Computational Brain focuses mainly on three domains: visual perception, learning and memory, and sensorimotor integration. Examples of recent computer models in these domains are discussed in detail, highlighting strengths and weaknesses, and extracting principles applicable to other domains. Churchland and Sejnowski show how both abstract models and neurobiologically realistic models can have useful roles in computational neuroscience, and they predict the coevolution of models and experiments at many levels of organization, from the neuron to the system.The Computational Brain addresses a broad audience: neuroscientists, computer scientists, cognitive scientists, and philosophers. It is written for both the expert and novice. A basic overview of neuroscience and computational theory is provided, followed by a study of some of the most recent and sophisticated modeling work in the context of relevant neurobiological research. Technical terms are clearly explained in the text, and definitions are provided in an extensive glossary. The appendix contains a pr?is of neurobiological techniques.Patricia S. Churchland is Professor of Philosophy at the University of California, San Diego, Adjunct Professor at the Salk Institute, and a MacArthur Fellow. Terrence J. Sejnowski is Professor of Biology at the University of California, San Diego, Professor at the Salk Institute, where he is Director of the Computational Neurobiology Laboratory, and an Investigator of the Howard Hughes Medical Institute.
  • 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
  • Patricia Smith Churchland is Chair of the Philosophy Department and the UC President's Professor of Philosophy at the University of California, San Diego, and Adjunct Professor at the Salk Institute. She is past president of the American Philosophical Association and the Society for Philosophy and Psychology. Terrence J. Sejnowski is Francis Crick Professor, Director of the Computational Neurobiology Laboratory, and a Howard Hughes Medical Institute Investigator at the Salk Institute for Biological Studies and Professor of Biology at the University of California, San Diego.
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  • The Computational Brain(1994)
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