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Part of the book series: Lecture Notes in Mathematics (LNM, volume 1860)
Part of the book sub series: Mathematical Biosciences Subseries (LNMBIOS)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
About this book
Keywords
- Computational Neuroscience
- Cortex
- anatomy
- auditory system
- dynamical systems
- neural oscillations
- neuronal dynamics
- neurons
- physiology
- ordinary differential equations
- partial differential equations
Reviews
From the reviews:
"Each paper ends with a valuable bibliography. The volume introduces some basic theories on computational neuroscience. I recommend this volume as a very good book in mathematical neurosciences." (Ioan A. Rus, Zentralblatt MATH, Vol. 1062 (13), 2005)
"The present volume, a collection of four articles, introduces some basic theories of mathematical and computational neuroscience. … I found the book to be a very good tutorial in mathematical neuroscience, well written and organized. … The core is a compilation of mathematical results from a rich bibliography … . In conclusion, I strongly recommend this volume to any graduate student, postdoctoral fellow or researcher moving to the field of theoretical neuroscience." (Rodica Curtu, Mathematical Reviews, Issue 2007 d)
Bibliographic Information
Book Title: Tutorials in Mathematical Biosciences I
Book Subtitle: Mathematical Neuroscience
Authors: Alla Borisyuk, Avner Friedman, Bard Ermentrout, David Terman
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/b102786
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-540-23858-4Published: 18 February 2005
eBook ISBN: 978-3-540-31544-5Published: 28 January 2005
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 1
Number of Pages: X, 170
Topics: Mathematical and Computational Biology, Differential Equations, Computational Mathematics and Numerical Analysis, Neuroscience, Computational and Systems Biology