Fundamentals of Brain Network Analysis
  • Release Date : 04 March 2016
  • Publisher : Academic Press
  • Genre : Medical
  • Pages : 494 pages
  • ISBN 13 : 9780124081185
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Download or read book entitled Fundamentals of Brain Network Analysis by author: Alex Fornito which was release on 04 March 2016 and published by Academic Press with total page 494 pages . This book available in PDF, EPUB and Kindle Format. Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

Brain Informatics

Brain Informatics

Author : Shouyi Wang,Vicky Yamamoto,Jianzhong Su,Yang Yang,Erick Jones,Leon Iasemidis,Tom Mitchell
Publisher : Springer
Genre : Computers
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