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Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
Christoph Börgers is Professor of Mathematics at Tufts University, USA. His expertise is in mathematical neuroscience, applied dynamical systems, numerical analysis, and scientific computing.
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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.
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An Introduction to Modeling Neuronal Dynamics
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Taschenbuch. Zustand: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 472 pp. Englisch. Artikel-Nr. 9783319845852
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An Introduction to Modeling Neuronal Dynamics
ISBN 10: 3319845853
ISBN 13: 9783319845852
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Taschenbuch. Zustand: 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. Artikel-Nr. 9783319845852
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