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Computational Modeling Methods for Neuroscientists -

Computational Modeling Methods for Neuroscientists

Erik De Schutter (Herausgeber)

Buch | Hardcover
432 Seiten
2009
MIT Press (Verlag)
9780262013277 (ISBN)
CHF 99,50 inkl. MwSt
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A guide to computational modeling methods in neuroscience, covering a range of modeling scales from molecular reactions to large neural networks.

This book offers an introduction to current methods in computational modeling in neuroscience. The book describes realistic modeling methods at levels of complexity ranging from molecular interactions to large neural networks. A "how to" book rather than an analytical account, it focuses on the presentation of methodological approaches, including the selection of the appropriate method and its potential pitfalls. It is intended for experimental neuroscientists and graduate students who have little formal training in mathematical methods, but it will also be useful for scientists with theoretical backgrounds who want to start using data-driven modeling methods. The mathematics needed are kept to an introductory level; the first chapter explains the mathematical methods the reader needs to master to understand the rest of the book. The chapters are written by scientists who have successfully integrated data-driven modeling with experimental work, so all of the material is accessible to experimentalists. The chapters offer comprehensive coverage with little overlap and extensive cross-references, moving from basic building blocks to more complex applications.

Contributors
Pablo Achard, Haroon Anwar, Upinder S. Bhalla, Michiel Berends, Nicolas Brunel, Ronald L. Calabrese, Brenda Claiborne, Hugo Cornelis, Erik De Schutter, Alain Destexhe, Bard Ermentrout, Kristen Harris, Sean Hill, John R. Huguenard, William R. Holmes, Gwen Jacobs, Gwendal LeMasson, Henry Markram, Reinoud Maex, Astrid A. Prinz, Imad Riachi, John Rinzel, Arnd Roth, Felix Schurmann, Werner Van Geit, Mark C. W. van Rossum, Stefan Wils

Erik De Schutter is Principal Investigator and Head of the Computational Neuroscience Unit at the Okinawa Institute of Science and Technology, Japan, and Head of the Theoretical Neurobiology Laboratory in the Department of Biomedical Sciences at the University of Antwerp, Belgium. John Rinzel is Professor of Neural Science and Mathematics at the Center for Neural Science, New York University. Erik De Schutter is Principal Investigator and Head of the Computational Neuroscience Unit at the Okinawa Institute of Science and Technology, Japan, and Head of the Theoretical Neurobiology Laboratory in the Department of Biomedical Sciences at the University of Antwerp, Belgium. Henry Markram is Professor in the Brain Mind Institute at Ecole Polytechnique Federale de Lausanne.

Reihe/Serie Computational Modeling Methods for Neuroscientists
Zusatzinfo 85 b&w illus., 3 tables
Verlagsort Cambridge, Mass.
Sprache englisch
Maße 178 x 229 mm
Gewicht 839 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Medizin / Pharmazie Medizinische Fachgebiete Neurologie
ISBN-13 9780262013277 / 9780262013277
Zustand Neuware
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