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Neuroscience: A Mathematical Primer 2002nd Edition

5 out of 5 stars 1 customer review
ISBN-13: 978-0387954028
ISBN-10: 0387954023
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Review

From the reviews:

"This monograph summarizes the development and current state of the art of neural mathematical modelling. ??? The book covers all aspects of neural modeling and is of interest to biomathematicians, biophysicists and theoretical neurobiologists." (Tanya Kostova-Vassilevska, Zentralblatt MATH, Issue 1018, 2003)

From the reviews:

"This monograph summarizes the development and current state of the art of neural mathematical modelling. a ] The book covers all aspects of neural modeling and is of interest to biomathematicians, biophysicists and theoretical neurobiologists." (Tanya Kostova-Vassilevska, Zentralblatt MATH, Issue 1018, 2003)

About the Author

Alywn Scott is an Emeritus Professor at the Department of Mathematics at the University of Arizona and a Consultant at the Department of Informatics and Mathematical Modelling at the Technical University of Denmark. He is the editor of the forthcoming Encyclopedia of Nonlinear Science (Taylor and
Francis (Routledge), New York). He is the chairman of in international committee for the Pnevmatikos Prize in Nonlinear Science, which is awarded in even years to outstanding young researchers in nonlinear science. He was a founding director (1981-1985) of the Center for Nonlinear Science in New
Mexico.


One of the pioneers in the area, Alwyn Scott entered nonlinear science as a teacher and researcher after completing his doctoral work at MIT in the late 1950s. His research, both experimental and theoretical, has addressed a wide range of topics from nonlinear laser optics to neuroscience. In 1981, Scott was selected as the founding director of the Center for Nonlinear Studies at the Los Alamos National Laboratory. He was also a founding editor of Physica D: Nonlinear Phenomena, the first journal devoted exclusively to the area. His other books include Neuroscience: A Mathematical Primer (Springer, New York) and Nonlinear Science: Emergence and Dynamics of Coherent Structures (Oxford University Press) and he served as editor of the recently published Encyclopedia of Nonlinear Science (Routledge). He completed 'The Nonlinear Universe' shortly before his untimely death in January 2007.
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Product Details

  • Paperback: 352 pages
  • Publisher: Springer; 2002 edition (June 19, 2002)
  • Language: English
  • ISBN-10: 0387954023
  • ISBN-13: 978-0387954028
  • Product Dimensions: 6.1 x 0.8 x 9.2 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,856,573 in Books (See Top 100 in Books)

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Format: Hardcover
"Neuroscience: A Mathematical Primer" by Alwyn Scott (Springer, 2002).
Submitted by: M.D. Goldfinger, Ph.D., Anatomy & Physiology Department., Wright State University, Dayton, Ohio, USA; mel.goldfinger@wright.edu
The study of the brain - Neuroscience - is one of contemporary science's most challenging realms. It is a complex field with dimensions of inquiry available to a variety of scientific and medical fields of study. For those readers interested in neuroscience and who have a background in physical science, engineering, or mathematics, Alwyn Scott's book provides an ideal port of entry. Dr. Scott's book is a systematic `bottom-up' approach to the workings of the nervous system from the cellular to network perspectives. Each of the twelve chapters and six appendices provides a quantitatively-oriented view of the salient physical features of neurons.
Dr. Scott is a highly-accomplished scholar of non-linearities in physical systems. His scientific career includes academic and research positions in electrical engineering, computer science, and mathematics at University of Wisconsin, Los Alamos National Labs, University of Arizona, and others. In addition to these accomplishments, the author has published fundamental studies on information propagation in nerve fibers. In his book, Dr. Scott addresses neuronal function from these unique and remarkably eclectic disciplinary perspectives. He writes in terms of physical principles, using the language of mathematics and the insights of engineering. This approach is - alas - not typical in neuroscience, which is often descriptive, avoiding the underlying physical complexities.
The first nine chapters cover much of the salient biophysics of neurons.
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