Networks of the brain /

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Bibliographic Details
Author / Creator:Sporns, Olaf.
Imprint:Cambridge, Mass. : MIT Press, ©2011.
©2011
Description:1 online resource (xi, 412 pages, 8 unnumbered pages of plates) : illustrations (some color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11246645
Hidden Bibliographic Details
ISBN:9780262289788
0262289784
1282978489
9781282978485
0262528983
9780262528986
9780262014694
0262014696
Digital file characteristics:data file
Notes:Includes bibliographical references (pages 347-287) and index.
English.
Print version record.
Summary:An integrative overview of network approaches to neuroscience explores the origins of brain complexity and the link between brain structure and function.
Other form:Print version: Sporns, Olaf. Networks of the brain. Cambridge, Mass. : MIT Press, ©2011 9780262014694
Standard no.:9786612978487
Review by Choice Review

"We live in the age of networks," this book begins, but not really--we live in an age of recognition and analysis of networks. From amazingly intricate biochemical clockworks of individual cells to the extraordinary complexity of ecological systems, networked interrelationships both surround and lie within humans. From ancient natural systems to electronic social networks, one thing unites all levels of organization--the human brain, which allows scientists to study the dynamic architecture of natural and artificial networks, and is itself the most fascinating network anywhere. Artificial neural networks are computational models used to understand complex relationships and identify patterns in data. They are modeled after biological neural networks that are almost infinitely more complex, but with modern computational tools, network theory is now being turned around to analyze brain complexity. In this book, Sporns (Indiana Univ., Bloomington) provides an eloquent, nonmathematical overview of brain complexity, including functional neuroanatomy and its evolutionary origins, dynamic activity patterns, the role of environment in shaping neural networks, and the functional effects of development and disease. This engaging, comprehensive analysis will surely spark new dynamic activity in neuroscience research. Summing Up: Recommended. Graduate students and researchers/faculty. M. S. Grace Florida Institute of Technology

Copyright American Library Association, used with permission.
Review by Choice Review