Brain Network Analysis
by
Moo K. Chung
Book Details
Format
Hardback or Cased Book
ISBN-10
110718486X
ISBN-13
9781107184862
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jun 27th, 2019
Print length
338 Pages
Weight
652 grams
Dimensions
23.10 x 15.90 x 2.20 cms
Product Classification:
Neurosciences
Ksh 13,850.00
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This tutorial reference provides a coherent overview of statistical and mathematical approaches used in brain network analysis. It goes beyond graph theory to explore different models in network science, regression, and algebraic topology, empowering methodological understanding in a manner immediately usable to both researchers and students.
This tutorial reference serves as a coherent overview of various statistical and mathematical approaches used in brain network analysis, where modeling the complex structures and functions of the human brain often poses many unique computational and statistical challenges. This book fills a gap as a textbook for graduate students while simultaneously articulating important and technically challenging topics. Whereas most available books are graph theory-centric, this text introduces techniques arising from graph theory and expands to include other different models in its discussion on network science, regression, and algebraic topology. Links are included to the sample data and codes used in generating the book''s results and figures, helping to empower methodological understanding in a manner immediately usable to both researchers and students.
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