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

Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis
  • Author : Alex Fornito,Andrew Zalesky,Edward T. Bullmore
  • Publisher : Academic Press
  • Release : 01 November 2015
GET THIS BOOKFundamentals of Brain Network Analysis

Fundamentals of Human Imaging Connectomics is the first book to provide an accessible, practical, and comprehensive introduction to imaging connectomics for researchers of any background. Written by experts in all areas of the field, the book contains non-technical, conceptual, and instructive discussions of each of the core principles of imaging connectomics. It features intuitive diagrams, graphical illustrations of key concepts, step-by-step explanations of mathematical formulae, and recommendations for best practices, providing users with an indispensable guide on the study of

Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis
  • Author : Alex Fornito,Andrew Zalesky,Edward T. Bullmore
  • Publisher : Unknown Publisher
  • Release : 01 March 2021
GET THIS BOOKFundamentals of Brain Network Analysis

This book provides an introduction to neural connectomics. It explains fundamental concepts with detailed examples of their application to neuroscience. It is suitable for use as a reference for both researchers and students aiming to gain familiarity with the field.

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 : 01 March 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

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

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

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 Cognitive Neuroscience

Fundamentals of Cognitive Neuroscience
  • Author : Bernard J. Baars,Nicole M. Gage
  • Publisher : Academic Press
  • Release : 01 March 2021
GET THIS BOOKFundamentals of Cognitive Neuroscience

This introductory text offers a comprehensive and easy-to-follow guide to cognitive neuroscience. Chapters cover all aspects of the field - the neural framework, sight, sound, consciousness, learning/memory, problem solving, speech, executive control, emotions, socialization and development - in a student-friendly format with extensive pedagogy and ancillaries to aid both the student and professor. Throughout the text, case studies and everyday examples are used to help students understand the more challenging aspects of the material. Written by two leading experts

Neurobiology of Language

Neurobiology of Language
  • Author : Gregory Hickok,Steven L. Small
  • Publisher : Academic Press
  • Release : 15 August 2015
GET THIS BOOKNeurobiology of Language

Neurobiology of Language explores the study of language, a field that has seen tremendous progress in the last two decades. Key to this progress is the accelerating trend toward integration of neurobiological approaches with the more established understanding of language within cognitive psychology, computer science, and linguistics. This volume serves as the definitive reference on the neurobiology of language, bringing these various advances together into a single volume of 100 concise entries. The organization includes sections on the field's major subfields,

Fundamentals of Neural Network Modeling

Fundamentals of Neural Network Modeling
  • Author : Randolph W. Parks,Daniel S. Levine,Debra L. Long
  • Publisher : MIT Press
  • Release : 01 March 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,

Brain Health Across the Life Span

Brain Health Across the Life Span
  • Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Population Health and Public Health Practice
  • Publisher : National Academies Press
  • Release : 01 May 2020
GET THIS BOOKBrain Health Across the Life Span

Brain health affects Americans across all ages, genders, races, and ethnicities. Enriching the body of scientific knowledge around brain health and cognitive ability has the potential to improve quality of life and longevity for many millions of Americans and their families. The Centers for Disease Control and Prevention estimate that as many as 5 million Americans were living with Alzheimer's disease in 2014. That same year, more than 800,000 children were treated for concussion or traumatic brain injuries in U.S. emergency departments.

Fundamentals of Artificial Neural Networks

Fundamentals of Artificial Neural Networks
  • Author : Mohamad H. Hassoun,Assistant Professor of Computer Engineering Mohamad H Hassoun
  • Publisher : MIT Press
  • Release : 01 March 1995
GET THIS BOOKFundamentals of Artificial Neural Networks

A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.