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Publicado por Springer-Verlag New York Inc, 2013
ISBN 10: 3319033069 ISBN 13: 9783319033068
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Añadir al carritoTaschenbuch. Condición: Neu. Computational Neuroscience | A First Course | Hanspeter A Mallot | Taschenbuch | Springer Series in Bio-/Neuroinformatics | xi | Englisch | 2015 | Springer | EAN 9783319033068 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Publicado por Springer International Publishing, Springer International Publishing, 2015
ISBN 10: 3319033069 ISBN 13: 9783319033068
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.
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Publicado por Springer International Publishing Jun 2015, 2015
ISBN 10: 3319033069 ISBN 13: 9783319033068
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience. 148 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2015
ISBN 10: 3319033069 ISBN 13: 9783319033068
Librería: moluna, Greven, Alemania
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A self-contained introduction to fundamental theories and basic methods for computational neuroscientistsKeeps mathematical concepts as intuitive and simple as possible and provides routes of explanation accessible also to readers who are less fam.
Idioma: Inglés
Publicado por Springer, Springer Jun 2015, 2015
ISBN 10: 3319033069 ISBN 13: 9783319033068
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 96,29
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch.