دانلود کتاب Neuroscience: a mathematical primer

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. The topics include the physical properties of the neuron and its material components, the mechanisms whereby it captures and harnesses local energy gradients for the generation of electrical currencies, and how such signals are organized as information-containing entities which are modified and disseminated through the substance of the cell, over long distances and through much geometrical complexity. In his presentation, the author covers both well-known as well as little-known or neglected literature and concepts, an invaluable scholarly service which recaptures much significant progress ignored or forgotten elsewhere (the book’s bibliographies alone are worth the price of admission). The final three chapters provide an introduction to the loftier issues of neuronal assemblies. All chapters include a recapitulation, which are invaluable for readers new to the subject.

The author does not simply provide a review of the many topics in quantitative neuroscience. Rather, Dr. Scott gives the reader a totally original and carefully-constructed step-by-step development of each subject. In those fields most familiar to this reviewer, the author’s unique insights and lucid explanations are invaluable, authentically thought-provoking, and highly influential in my current research.

For neuroscience students and researchers coming from traditional biology backgrounds, this book provides an important opportunity to share in the unique perspective that physical science brings to neuroscience, aspects which many of us never experienced and were untrained to even imagine. For such readers, this book also will help to expand your knowledge of mathematical expression as applied to a familiar realm. Younger neuroscientists in particular who feel unsatisfied with the traditional descriptive approach can explore a new world of insight through the eyes of a brilliant analyst and a caring teacher.

In summary, Dr. Scott’s book is both a highly-informative reference as well as a superb tutorial on the biophysics of neurons. Its content will be very useful for both new students of neuroscience as well for advanced students and researchers in this field. For readers from backgrounds in physics, engineering, and mathematics, this book will bring you START TRANSACTION WITH CONSISTENT SNAPSHOT; /* 1450 = 9d1d1081a25f100c33b12af46dd9cc24