Editors:
Written by current leading experts in the field
Focus on interdisciplinary (physiological and biological) applications of stochastic methods Representation of key theoretical ideas but also clear and motivated examples of application and implementation issues
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Mathematics (LNM, volume 2058)
Part of the book sub series: Mathematical Biosciences Subseries (LNMBIOS)
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Table of contents (8 chapters)
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Front Matter
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Neuronal Models
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Front Matter
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Back Matter
About this book
Keywords
- 60Gxx, 92C20, 37N25, 92Bxx
- Spreading cortical depression
- Stochastic Integrate-and-Fire Models
- Stochastic differential equation models in biology
- Stochastic partial differential equations in neurobiology
Editors and Affiliations
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College of Sciences, Department of Mathematics, King Saud University, Riyadh, Saudi Arabia
Mostafa Bachar
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Mathematics and Scientific Computing, University of Graz, Graz, Austria
Jerry Batzel
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Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark
Susanne Ditlevsen
Bibliographic Information
Book Title: Stochastic Biomathematical Models
Book Subtitle: with Applications to Neuronal Modeling
Editors: Mostafa Bachar, Jerry Batzel, Susanne Ditlevsen
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/978-3-642-32157-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-32156-6Published: 18 October 2012
eBook ISBN: 978-3-642-32157-3Published: 19 October 2012
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 1
Number of Pages: XVI, 206
Number of Illustrations: 21 b/w illustrations, 13 illustrations in colour
Topics: Probability Theory, Mathematical Modeling and Industrial Mathematics, Biostatistics, Neuroscience