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Publicado por Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319845853 ISBN 13: 9783319845852
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended as a text for a one-semester course on Mathematicaland Computational Neuroscience for upper-level undergraduate andbeginninggraduatestudents of mathematics, the natural sciences, engineering, or computer science.An undergraduate introduction to differential equations is more than enoughmathematical background. Only a slim, high school-level background in physics is assumed, and none in biology.Topics include models of individual nerve cells and their dynamics, models of networks of neurons coupled by synapses and gap junctions, origins and functions of population rhythms in neuronal networks, and models of synaptic plasticity.An extensive online collection of Matlab programs generating the figures accompanies the book.
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Añadir al carritoTaschenbuch. Condición: Neu. An Introduction to Modeling Neuronal Dynamics | Christoph Börgers | Taschenbuch | Texts in Applied Mathematics | xiii | Englisch | 2018 | Springer | EAN 9783319845852 | 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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Añadir al carritoCondición: New. Print on Demand pp. XIII, 457 356 illus., 186 illus. in color.
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Publicado por Springer International Publishing Jul 2018, 2018
ISBN 10: 3319845853 ISBN 13: 9783319845852
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is intended as a text for a one-semester course on Mathematicaland Computational Neuroscience for upper-level undergraduate andbeginninggraduatestudents of mathematics, the natural sciences, engineering, or computer science.An undergraduate introduction to differential equations is more than enoughmathematical background. Only a slim, high school-level background in physics is assumed, and none in biology.Topics include models of individual nerve cells and their dynamics, models of networks of neurons coupled by synapses and gap junctions, origins and functions of population rhythms in neuronal networks, and models of synaptic plasticity.An extensive online collection of Matlab programs generating the figures accompanies the book. 472 pp. Englisch.
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Publicado por Springer International Publishing, 2018
ISBN 10: 3319845853 ISBN 13: 9783319845852
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes access to Matlab codes generating the figuresExercises at widely varying levels are included at the end of every chapterDetailed writing allows for self-study opportunities Include.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Jul 2018, 2018
ISBN 10: 3319845853 ISBN 13: 9783319845852
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of mathematics, the natural sciences, engineering, or computer science. An undergraduate introduction to differential equations is more than enough mathematical background. Only a slim, high school-level background in physics is assumed, and none in biology.Topics include models of individual nerve cells and their dynamics, models of networks of neurons coupled by synapses and gap junctions, origins and functions of population rhythms in neuronal networks, and models of synaptic plasticity.An extensive online collection of Matlab programs generating the figures accompanies the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 472 pp. Englisch.