Theoretical Models in Biology : The Origin of Life, the Immune System, and the Brain
by
Rowe
Book Details
Format
Paperback / Softback
ISBN-10
0198596871
ISBN-13
9780198596875
Publisher
Oxford University Press
Imprint
Clarendon Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 25th, 1997
Print length
436 Pages
Weight
668 grams
Dimensions
23.20 x 15.60 x 2.50 cms
Product Classification:
Mathematical modellingNeurosciences
Ksh 10,150.00
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This book surveys current practice in theoretical and computer modelling in biology. Areas considered are: origin of life, the immune system, memory in the brain. Each area is introduced with a chapter on the relevant biology, and five or six models are described in some detail.
This book surveys theoretical models in three broad areas of biology (the origin of life, the immune system, and memory in the brain), introducing mathematical and (mainly) computational models that have been used to construct simulations. Most current books on theoretical biology fall into one of two categories: (a) books that specialize in one area of biology and treat theoretical models in considerable depth; and (b) books that concentrate on purely mathematical models, with computers used only to find numerical solutions to differential equations, for example. Although some mathmatical models are considered in this book, the main emphasis is on stochastic computer modles of biological systems. Such techniques have a much greater potential for producting detailed, realistic models of individual systems, and are likely to be the preferred modelling methods of the future. By considering three different areas in biology, the book shows how several of these modelling techniques have been successfully applied in diverse areas. Put simply, this book is important becuase it shows how the power of modern computers is allowing researchers in theoretical biology to break free of the constraints on modelling that were imposed by the traditional differential equation approach. Anyone who is interested in the theoretical models of complicated living systems should have this in his or her library. G. B. Ermentrout, Bulletin of Mathematical Biology
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