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23 Problems in Systems Neuroscience (Computational Neuroscience Series)

 
 
 
 
23 Problems in Systems Neuroscience (Computational Neuroscience Series)
Author: N/A
ISBN 13: 9780195148220
ISBN 10: 195148223
Edition: 1
Publisher: Oxford University Press
Publication Date: 2005-12-08
Format: Hardcover
Pages: 548
List Price: $95.00
 
 

The complexity of the brain and the protean nature of behavior remain the most elusive area of science, but also the most important. van Hemmen and Sejnowski invited 23 experts from the many areas—from evolution to qualia—of systems neuroscience to formulate one problem each. Although each chapter was written independently and can be read separately, together they provide a useful roadmap to the field of systems neuroscience and will serve as a source of inspirations for future explorers of the brain.

Doody Review Services

Reviewer:Celso Agner, MD, MSc(University of Illinois at Chicago College of Medicine)
Description:Neuroscience has developed significantly over the past few decades, with the introduction of new concepts, discoveries, and technologies. However, certain questions still remain unanswered. This books attempts to answer some of them.
Purpose:Similar to David Hilbert's 23 questions in mathematics proposed in the beginning of the 20th century, this book attempts to reflect the same scientific intrigue by asking major neuroscientists what the next challenges would be. Those are worthy objectives met by the several authors in this book.
Audience:Neuroscientists and neurologists are the main audience to this book. In mine and the authors' perspectives, this book achieves the audience very well. The authors are leading experts in diverse sub-aspects of neurosciences.
Features:Forty authors contribute twenty-three chapters in this book. Divided into five sections, this book reflects the interaction between genetics and morphology, function, and a possible influence in behavior. The difficulty of the topic is explained in accessible manner by leading world authorities. The illustrations are self-explanatory and the references, up-to-date. In my view, there are hardly any shortcomings in the book.
Assessment:This book is worth buying for most neurosciences libraries, since it reflects the current understanding of the marriage between genomics and neuroscience.