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Neuroscience: A Mathematical Primer Paperback – July 1, 2002

ISBN-13: 978-0387954028 ISBN-10: 0387954023 Edition: 2002nd

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Product Details

  • Paperback: 356 pages
  • Publisher: Springer; 2002 edition (July 1, 2002)
  • Language: English
  • ISBN-10: 0387954023
  • ISBN-13: 978-0387954028
  • Product Dimensions: 0.7 x 6.1 x 9.1 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: #1,766,341 in Books (See Top 100 in Books)

Editorial Reviews

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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)

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13 of 13 people found the following review helpful By Mel Goldfinger on April 19, 2004
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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