Fundamentals of Brain Network Analysis

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

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  • Author : Alex Fornito
  • Publisher : Academic Press
  • Pages : 494 pages
  • ISBN : 0124081185
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKFundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis
  • Author : Alex Fornito,Andrew Zalesky,Edward Bullmore
  • Publisher : Academic Press
  • Release : 04 March 2016
GET THIS BOOKFundamentals of Brain Network Analysis

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

Brain Network Analysis

Brain Network Analysis
  • Author : Moo K. Chung
  • Publisher : Cambridge University Press
  • Release : 30 June 2019
GET THIS BOOKBrain Network Analysis

This coherent mathematical and statistical approach aimed at graduate students incorporates regression and topology as well as graph theory.

Networks of the Brain

Networks of the Brain
  • Author : Olaf Sporns
  • Publisher : MIT Press
  • Release : 01 October 2010
GET THIS BOOKNetworks of the Brain

An integrative overview of network approaches to neuroscience explores the origins of brain complexity and the link between brain structure and function. Over the last decade, the study of complex networks has expanded across diverse scientific fields. Increasingly, science is concerned with the structure, behavior, and evolution of complex systems ranging from cells to ecosystems. In Networks of the Brain, Olaf Sporns describes how the integrative nature of brain function can be illuminated from a complex network perspective. Highlighting the

Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience
  • Author : Thomas Trappenberg
  • Publisher : Oxford University Press
  • Release : 28 October 2021
GET THIS BOOKFundamentals of Computational Neuroscience

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental networkarchitectures and discusses their relevance for information processing in the brain, giving some examples of

Discovering the Human Connectome

Discovering the Human Connectome
  • Author : Olaf Sporns
  • Publisher : MIT Press
  • Release : 07 September 2012
GET THIS BOOKDiscovering the Human Connectome

A pioneer in the field outlines new empirical and computational approaches to mapping the neural connections of the human brain. Crucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. In this book, Olaf Sporns surveys current efforts to chart these connections—to map the human connectome. He argues that the nascent field of connectomics has already begun to influence the

Fundamentals of Deep Learning

Fundamentals of Deep Learning
  • Author : Nikhil Buduma,Nicholas Locascio
  • Publisher : "O'Reilly Media, Inc."
  • Release : 25 May 2017
GET THIS BOOKFundamentals of Deep Learning

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject

Fundamentals of Neural Network Modeling

Fundamentals of Neural Network Modeling
  • Author : Randolph W. Parks,Daniel S. Levine,Debra L. Long
  • Publisher : MIT Press
  • Release : 28 October 1998
GET THIS BOOKFundamentals of Neural Network Modeling

Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians,

Fundamentals of Cognitive Neuroscience

Fundamentals of Cognitive Neuroscience
  • Author : Nicole M. Gage,Bernard Baars
  • Publisher : Academic Press
  • Release : 14 March 2018
GET THIS BOOKFundamentals of Cognitive Neuroscience

Fundamentals of Cognitive Neuroscience: A Beginner's Guide, Second Edition, is a comprehensive, yet accessible, beginner’s guide on cognitive neuroscience. This text takes a distinctive, commonsense approach to help newcomers easily learn the basics of how the brain functions when we learn, act, feel, speak and socialize. This updated edition includes contents and features that are both academically rigorous and engaging, including a step-by-step introduction to the visible brain, colorful brain illustrations, and new chapters on emerging topics in cognition

Statistical Analysis of Network Data with R

Statistical Analysis of Network Data with R
  • Author : Eric D. Kolaczyk,Gábor Csárdi
  • Publisher : Springer
  • Release : 22 May 2014
GET THIS BOOKStatistical Analysis of Network Data with R

Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can

Changing Connectomes

Changing Connectomes
  • Author : Marcus Kaiser
  • Publisher : MIT Press
  • Release : 08 September 2020
GET THIS BOOKChanging Connectomes

An up-to-date overview of the field of connectomics, introducing concepts and mechanisms underlying brain network change at different stages. The human brain undergoes massive changes during its development, from early childhood and the teenage years to adulthood and old age. Across a wide range of species, from C. elegans and fruit flies to mice, monkeys, and humans, information about brain connectivity (connectomes) at different stages is now becoming available. New approaches in network neuroscience can be used to analyze the

Introduction to Resting State fMRI Functional Connectivity

Introduction to Resting State fMRI Functional Connectivity
  • Author : Janine Bijsterbosch,Stephen M. Smith,Christian F. Beckmann
  • Publisher : Oxford University Press
  • Release : 15 June 2017
GET THIS BOOKIntroduction to Resting State fMRI Functional Connectivity

Spontaneous 'resting-state' fluctuations in neuronal activity offer insights into the inherent organisation of the human brain, and may provide markers for diagnosis and treatment of mental disorders. Resting state functional magnetic resonance imaging (fMRI) can be used to investigate intrinsic functional connectivity networks, which are identified based on similarities in the signal measured from different regions. From data acquisition to results interpretation, An Introduction to Resting State fMRI Functional Connectivity discusses a wide range of approaches without expecting previous knowledge

The Fundamentals of Brain Development

The Fundamentals of Brain Development
  • Author : Joan Stiles,Emeritus Professor of Cognitive Sciences Joan Stiles
  • Publisher : Harvard University Press
  • Release : 28 February 2008
GET THIS BOOKThe Fundamentals of Brain Development

As Stiles shows, brain development is far more complex and dynamic than is often assumed in debates about nature vs. nurture, nativism vs. cultural learning. Inherited and experienced factors interact constantly in an ever-changing organism. The key question is, what developmental processes give rise to particular structures or mechanisms?

Network Neuroscience

Network Neuroscience
  • Author : Flavio Fröhlich
  • Publisher : Academic Press
  • Release : 20 September 2016
GET THIS BOOKNetwork Neuroscience

Studying brain networks has become a truly interdisciplinary endeavor, attracting students and seasoned researchers alike from a wide variety of academic backgrounds. What has been lacking is an introductory textbook that brings together the different fields and provides a gentle introduction to the major concepts and findings in the emerging field of network neuroscience. Network Neuroscience is a one-stop-shop that is of equal use to the neurobiologist, who is interested in understanding the quantitative methods employed in network neuroscience, and

Statistical Signal Processing for Neuroscience and Neurotechnology

Statistical Signal Processing for Neuroscience and Neurotechnology
  • Author : Karim G. Oweiss
  • Publisher : Academic Press
  • Release : 22 September 2010
GET THIS BOOKStatistical Signal Processing for Neuroscience and Neurotechnology

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal