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From Computer to Brain: Foundations of Computational Neuroscience [Hardcover]

Item : From Computer to Brain: Foundations of Computational Neuroscience [Hardcover]
Price : $173.99 (see below)
Category : Books
Author Author : Lytton, William W.
ISBN-10 ISBN-10 : 0387955283
ISBN-13 ISBN-13 : 9780387955285
Publisher Publisher : Springer
Binding Binding : Hardcover
Item ID : 100196625

Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.Introduction * I. Perspectives * Computational Neuroscience and You * Basic Neuroscience * II. Computers * Computer Representations * The Soul of an Old Machine * III. Cybernetics * Concept Neurons * Neural Coding * Our Friend the Limulus * Supervised Learning: The Delta Rule and Back-Propagation * Associative Memory Networks * IV. From Artificial to Real * From Soap to Volts * Hodgkin-Huxley Model * Compartment Modeling * From Artificial Neural Network to Realistic Neural Network l.

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