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Modeling in the Neurosciences: From Ionic Channels to Neural Networks

Modeling in the Neurosciences: From Ionic Channels to Neural Networks 

   

AUTHORS: 

  • Roman Poznanski

PRODUCT DETAILS:

  • Hardcover: 555 pages
  • Publisher: CRC (February 1, 1999)
  • Language: English
  • ISBN: 9057022842
  • Product Dimensions: 10.3 x 6.7 x 1.5 inches
  • Shipping Weight: 2.66 pounds
EDITORIAL REVIEWS

Book Description

With contributions from more than 40 renowned experts, Modeling in the Neurosciences: From Ionic Channels to Neural Networks is essential for those interested in neuronal modeling and quantitative neuroscience. Focusing on new mathematical and computer models, techniques and methods, this monograph represents a cohesive and comprehensive treatment of various aspects of the neurosciences from the biophysical, cellular, and network levels. Many state-of-the-art examples are presented as to how mathematical and computer modeling can contribute to the understanding of mechanisms and systems in the neurosciences. Each chapter also includes suggestions of possible refinements for future modeling in this rapidly changing and expanding field. This book will benefit and inspire the advanced modeler, and give the beginner sufficient confidence to model a wide selection of neuronal systems at the biophysical, cellular and network levels.

Book Info

Hitachi, Ltd. Japan. Brings together elements of modeling in the neurosciences essential for attempts at modeling neurons and neural networks. For researchers. Focuses on new mathematical and computer models, techniques and methods.

 

CUSTOMER REVIEWS

QUANTITATIVE MODELING WITH VIGOR!, January 9, 2001

What distinguishes this book from other neuronal modeling books? Firstly, it contains a solid quantitative flavor necessary for real advances in neural networks. Secondly, it places an emphasis on neuronal models not encountered in computational neuroscience. Thirdly, it is written with authority by some well known names in the field. Each chapter is self-contained and written in a didactic fashion with a future perspectives section and a problem set. The contents range from stochastic fluctuations of ionic channels to morphologically realistic neural networks. Some features include: Lanczos matrices to construct fully equivalent cables, application of Maxwell equations to derive the cable equation, and a chapter devoted to nonlinear cable theory co-authored by one of the founders of theoretical biophysics. This book is thoroughly recommended to anyone who is serious about neuronal modeling.

 


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