9780124079083-0124079083-Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis

ISBN-13: 9780124079083
ISBN-10: 0124079083
Edition: 1
Author: Alex Fornito PhD, Andrew Zalesky PhD, Edward Bullmore PhD
Publication date: 2016
Publisher: Academic Press
Format: Hardcover 494 pages
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Book details

ISBN-13: 9780124079083
ISBN-10: 0124079083
Edition: 1
Author: Alex Fornito PhD, Andrew Zalesky PhD, Edward Bullmore PhD
Publication date: 2016
Publisher: Academic Press
Format: Hardcover 494 pages

Summary

Fundamentals of Brain Network Analysis (ISBN-13: 9780124079083 and ISBN-10: 0124079083), written by authors Alex Fornito PhD, Andrew Zalesky PhD, Edward Bullmore PhD, was published by Academic Press in 2016. With an overall rating of 3.6 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent Fundamentals of Brain Network Analysis (Hardcover) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $10.35.

Description

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.

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