Fundamentals of Brain Network Analysis Book

Fundamentals of Brain Network Analysis


  • Author : Alex Fornito
  • Publisher : Academic Press
  • Release Date : 2016-03-04
  • Genre: Medical
  • Pages : 494
  • ISBN 10 : 9780124081185

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Fundamentals of Brain Network Analysis Excerpt :

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 Network Analysis Book

Brain Network Analysis


  • Author : Moo K. Chung
  • Publisher : Cambridge University Press
  • Release Date : 2019-06-27
  • Genre: Computers
  • Pages : 343
  • ISBN 10 : 9781107184862

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Brain Network Analysis Excerpt :

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

Networks of the Brain Book

Networks of the Brain


  • Author : Olaf Sporns
  • Publisher : MIT Press
  • Release Date : 2016-02-12
  • Genre: Medical
  • Pages : 433
  • ISBN 10 : 9780262528986

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Networks of the Brain Excerpt :

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 many emerging points of contact between neuroscience and network science, the book serves to introduce network theory to neuroscientists and neuroscience to those working on theoretical network models. Sporns emphasizes how networks connect levels of organization in the brain and how they link structure to function, offering an informal and nonmathematical treatment of the subject. Networks of the Brain provides a synthesis of the sciences of complex networks and the brain that will be an essential foundation for future research.

Discovering the Human Connectome Book

Discovering the Human Connectome


  • Author : Olaf Sporns
  • Publisher : MIT Press
  • Release Date : 2012-09-07
  • Genre: Medical
  • Pages : 253
  • ISBN 10 : 9780262304801

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Discovering the Human Connectome Excerpt :

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 way many neuroscientists collect, analyze, and think about their data. Moreover, the idea of mapping the connections of the human brain in their entirety has captured the imaginations of researchers across several disciplines including human cognition, brain and mental disorders, and complex systems and networks. Discovering the Human Connectome offers the first comprehensive overview of current empirical and computational approaches in this rapidly developing field.

Player Development Book

Player Development


  • Author : John Cone
  • Publisher : Taylor & Francis
  • Release Date : 2022-08-01
  • Genre: Sports & Recreation
  • Pages : 370
  • ISBN 10 : 9781000622058

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Player Development Excerpt :

Player Development: The Holistic Method provides the first holistic, evidence-based performance development method in sport. Focusing on the world’s largest sport, soccer, this book weaves together the interconnected layers driving player performance development to define a novel training method. In performance sport, narratives defining success or failure are steeped with stories of chance. The reality is that player performance and athlete development leading to career success is the byproduct of optimizing interconnected experiences toward maximizing the likelihood of individual success. It is the application of a holistic method that reduces the influence of luck and increases the likelihood of individual and team success. This book is the pathway to understanding and facilitating individual player development leading to elite performance success. This book reveals not only a holistic method, but also a universal method breaking down perceived and real barriers to provide a method transcending domains and specializations – a unified approach. The book introduces an evidence-based method toward performance development in soccer. It is key reading for students of coaching, talent development, sport performance and ancillary specializations, and practicing professionals in the field of player and performance development and coaching.

Fundamentals of Neural Network Modeling Book

Fundamentals of Neural Network Modeling


  • Author : Randolph W. Parks
  • Publisher : MIT Press
  • Release Date : 1998
  • Genre: Science
  • Pages : 450
  • ISBN 10 : 0262161753

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Fundamentals of Neural Network Modeling Excerpt :

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, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimer's disease. Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Rand

Brain Network Dysfunction in Neuropsychiatric Illness Book

Brain Network Dysfunction in Neuropsychiatric Illness


  • Author : Vaibhav A. Diwadkar
  • Publisher : Springer Nature
  • Release Date : 2021-05-11
  • Genre: Medical
  • Pages : 488
  • ISBN 10 : 9783030597979

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Brain Network Dysfunction in Neuropsychiatric Illness Excerpt :

Brain network function and dysfunction is the dominant model for understanding how the brain gives rise to normal and abnormal behavior. Moreover, neuropsychiatric illnesses continue to resist attempts to reveal an understanding of their bases. Thus, this timely volume provides a synthesis of the uses of multiple analytic methods as they are applied to neuroimaging data, to seek understanding of the neurobiological bases of psychiatric illnesses, understanding that can subsequently aid in their management and treatment. A principle focus is on the analyses and application of methods to functional magnetic resonance imaging (fMRI) data. fMRI remains the most widely used neuroimaging technique for estimating brain network function, and several of the methods covered can estimate brain network dysfunction in resting and task-active states. Additional chapters provide details on how these methods are (and can be) applied in the understanding of several neuropsychiatric disorders, including schizophrenia, mood disorders, autism, borderline personality disorder, and attention deficit hyperactivity disorder (ADHD). A final complement of chapters provides a collective overview of how this framework continues to provoke theoretical advances in our conception of the brain in psychiatry. This unique volume is designed to be a comprehensive resource for imaging researchers interested in psychiatry, and for psychiatrists interested in advanced imaging applications.

Mind Mapping and Artificial Intelligence Book

Mind Mapping and Artificial Intelligence


  • Author : Jose Maria Guerrero
  • Publisher : Academic Press
  • Release Date : 2022-10-22
  • Genre: Science
  • Pages : 260
  • ISBN 10 : 9780128202425

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Mind Mapping and Artificial Intelligence Excerpt :

In the near future, we will see an increase in the development and use of all sorts of AI applications. Some of the more promising areas will be Finance, Healthcare, IoT, Manufacturing, Journalism, and Cybersecurity. Many of these applications generate a great amount of complex information. Natural Language Understanding is one of the most clear examples. Traditional ways of visualizing complex information, namely linear text, web pages and hyperlink-based applications, have serious productivity problems. Users need a lot of time to visualize the information and have problems seeing the whole picture of the results. Mind mapping is probably the only way of reducing the problems inherent in these traditional ways of visualizing complex information. Most people have no clear idea about the advantages of mind mapping or the problems created by the traditional ways of visualizing complex information. The goal of Mind Mapping and Artificial Intelligence is to provide readers with an introduction to mind mapping and artificial intelligence, to the problems of using traditional ways of visualizing complex information and as an introduction to mind mapping automation and its integration into Artificial Intelligence applications such as NLU and others. As more applications of Artificial Intelligence are developed in the near future, the need for the improvement of the visualization of the information generated will increase exponentially. Information overload will soon also happen in AI applications. This will diminish the advantages of using AI. Author José Maria Guerrero is a long-time expert in mind mapping and visualization techniques. In this book he also introduces readers to MindManager mind mapping software, which can considerably reduce the problems associated with the interpretation of complex information generated by Artificial Intelligence software. Provides coverage of the fundamentals of mind mapping and visualization applied to Artificial Intelligence applica

Fundamentals of Computational Neuroscience Book

Fundamentals of Computational Neuroscience


  • Author : Thomas Trappenberg
  • Publisher : Oxford University Press
  • Release Date : 2010
  • Genre: Mathematics
  • Pages : 417
  • ISBN 10 : 9780199568413

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Fundamentals of Computational Neuroscience Excerpt :

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.

Cognition in Multiple Sclerosis Book

Cognition in Multiple Sclerosis


  • Author : Antonio Carotenuto
  • Publisher : Frontiers Media SA
  • Release Date : 2021-10-20
  • Genre: Medical
  • Pages : 142
  • ISBN 10 : 9782889715046

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Cognition in Multiple Sclerosis Excerpt :

We would like to acknowledge that Dr. Monica Margoni, University of Padua, Italy, has acted as a coordinator and has contributed to the preparation of the proposal for this Research Topic.

Machine Vision and Augmented Intelligence   Theory and Applications Book

Machine Vision and Augmented Intelligence Theory and Applications


  • Author : Manish Kumar Bajpai
  • Publisher : Springer Nature
  • Release Date : 2021-11-10
  • Genre: Computers
  • Pages : 692
  • ISBN 10 : 9789811650789

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Machine Vision and Augmented Intelligence Theory and Applications Excerpt :

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.

The Bipolar Brain Book

The Bipolar Brain


  • Author : Stephen Strakowski
  • Publisher : Oxford University Press
  • Release Date : 2022
  • Genre: Manic-depressive illness
  • Pages : 329
  • ISBN 10 : 9780197574522

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The Bipolar Brain Excerpt :

"Although efforts to examine the structure and function of the human brain stretch back centuries (Paluzzi et al, 2007), techniques allowing the study of living humans are a relatively recent development. Early investigators confined themselves to largely studying external features, with 18th century methodologies such as phrenology purporting to link extracranial proxies for brain size and structure to specific personality traits (Livianos-Aldana et al, 2007). However, these techniques did not prove useful for either clinical or research purposes. Two-dimensional x-ray imaging, while constituting an important medical advance, did not provide sufficient soft tissue contrast to be useful for studying "functional" psychiatric disorders such as bipolar disorder; techniques to enhance contrast, such as ventriculography and pneumoencephalography were similarly limited (Figure 1.1). Wide-spread in vivo studies of brain morphometry had to await the development of computed tomography imaging (CT) in the early 1970s. By the early 1980s CT was already being applied to the study of bipolar disorder (Pearlson et al, 1981)"--

Statistical Analysis of Network Data with R Book

Statistical Analysis of Network Data with R


  • Author : Eric D. Kolaczyk
  • Publisher : Springer Nature
  • Release Date : 2020-06-02
  • Genre: Computers
  • Pages : 228
  • ISBN 10 : 9783030441296

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Statistical Analysis of Network Data with R Excerpt :

The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. The new edition of this book includes an overhaul to recent changes in igraph. The material in this book is organized to flow from descriptive statistical methods to topics centered on modeling and inference with networks, with the latter separated into two sub-areas, corresponding first to the modeling and inference of networks themselves, and then, to processes on networks. The book begins by covering tools for the manipulation of network data. Next, it addresses visualization and characterization of networks. The book then examines mathematical and statistical network modeling. This is followed by a special case of network modeling wherein the network topology must be inferred. Network processes, both static and dynamic are addressed in the subsequent chapters. The book concludes by featuring chapters on network flows, dynamic networks, and networked experiments. Statistical Analysis of Network Data with R, 2nd Ed. has been written at a level aimed at graduate students and researchers in quantitative disciplines engaged in the statistical analysis of network data, although advanced undergraduates already comfortable with R should find the book fairly accessible as well.

The Neuroimaging of Brain Diseases Book

The Neuroimaging of Brain Diseases


  • Author : Christophe Habas
  • Publisher : Springer
  • Release Date : 2018-06-15
  • Genre: Medical
  • Pages : 353
  • ISBN 10 : 9783319789262

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The Neuroimaging of Brain Diseases Excerpt :

Notable experts in the field of neuroimaging provide comprehensive overviews of advances in functional and structural aspects of both common and uncommon brain disorders. Functional imaging is evolving quickly but researchers and clinicians do not always have a strong understanding of the fundamental basis of the imaging techniques that they use. By focusing on both structure and function this book will provide a strong foundation for emerging developments in the field.

Integrative Brain Function Down Under Book

Integrative Brain Function Down Under


  • Author : Greg Stuart
  • Publisher : Frontiers Media SA
  • Release Date : 2020-10-12
  • Genre: Medical
  • Pages : 131
  • ISBN 10 : 9782889660698

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Integrative Brain Function Down Under Excerpt :

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.