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Inhaltsangabe
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.
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From the Foreword:
"In From Computer to Brain: Foundations of Computational Neuroscience, William W. Lytton provides a gentle but rigorous introduction to the art of modeling neurons and neural systems. It is an accessible entry to the methods and approaches used to model the brain at many different levels, ranging from synapses and dendrites to neurons and neural circuits. This book gives a balanced view of the wide range of modeling techniques that are available in a way that is accessible to a wide audience. This is a book that will bring a smile to your face as well as inspire your imagination."
-- Terrence J. Sejnowski
Howard Hughes Medical Institute, Salk Institute, University of California at San Diego
Reseña del editor
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.
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From Computer to Brain : Foundations of Computational Neuroscience
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From Computer to Brain: Foundations of Computational Neuroscience
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From Computer to Brain
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Teaching computational neuroscience as an integrated discipline requires that students from different backgrounds be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanatio. Bestandsnummer des Verkäufers 5912584
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From Computer to Brain
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Springer New York, Springer US Okt 2002, 2002
ISBN 10: 0387955267
ISBN 13: 9780387955261
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Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 388 pp. Englisch. Bestandsnummer des Verkäufers 9780387955261
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From Computer to Brain
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 388 pp. Englisch. Bestandsnummer des Verkäufers 9780387955261
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From Computer to Brain : Foundations of Computational Neuroscience
Verlag:
Springer New York, Springer US, 2002
ISBN 10: 0387955267
ISBN 13: 9780387955261
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9780387955261
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From Computer to Brain: Foundations of Computational Neuroscience
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From Computer to Brain : Foundations of Computational Neuroscience
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From Computer to Brain: Foundations of Computational Neuroscience
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From Computer to Brain: Foundations of Computational Neuroscience
Verlag:
Springer-Verlag New York Inc., 2002
ISBN 10: 0387955267
ISBN 13: 9780387955261
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