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From Computer to Brain
Foundations of Computational Neuroscience
Taschenbuch von William W. Lytton
Sprache: Englisch

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Beschreibung
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.
Zusammenfassung
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 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.
Inhaltsverzeichnis
Perspectives.- Computational Neuroscience and You.- Basic Neuroscience.- Computers.- Computer Representations.- The Soul of an Old Machine.- Cybernetics.- Concept Neurons.- Neural Coding.- Our Friend the Limulus.- Supervised Learning: Delta Rule and Back-Propagation.- Associative Memory Networks.- Brains.- From Soap to Volts.- Hodgkin-Huxley Model.- Compartment Modeling.- From Artificial Neural Network to Realistic Neural Network.- Neural Circuits.- The Basics.
Details
Erscheinungsjahr: 2002
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 388
Inhalt: xx
364 S.
ISBN-13: 9780387955261
ISBN-10: 0387955267
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Lytton, William W.
Auflage: Softcover reprint of the original 1st ed. 2002
Hersteller: Springer US
Springer New York
Maße: 235 x 155 x 21 mm
Von/Mit: William W. Lytton
Erscheinungsdatum: 01.10.2002
Gewicht: 0,587 kg
preigu-id: 103094777
Zusammenfassung
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 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.
Inhaltsverzeichnis
Perspectives.- Computational Neuroscience and You.- Basic Neuroscience.- Computers.- Computer Representations.- The Soul of an Old Machine.- Cybernetics.- Concept Neurons.- Neural Coding.- Our Friend the Limulus.- Supervised Learning: Delta Rule and Back-Propagation.- Associative Memory Networks.- Brains.- From Soap to Volts.- Hodgkin-Huxley Model.- Compartment Modeling.- From Artificial Neural Network to Realistic Neural Network.- Neural Circuits.- The Basics.
Details
Erscheinungsjahr: 2002
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 388
Inhalt: xx
364 S.
ISBN-13: 9780387955261
ISBN-10: 0387955267
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Lytton, William W.
Auflage: Softcover reprint of the original 1st ed. 2002
Hersteller: Springer US
Springer New York
Maße: 235 x 155 x 21 mm
Von/Mit: William W. Lytton
Erscheinungsdatum: 01.10.2002
Gewicht: 0,587 kg
preigu-id: 103094777
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