Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis
Author: Alex Fornito,Andrew Zalesky,Edward Bullmore
Publsiher: Academic Press
Total Pages: 494
Release: 2016-03-04
Genre: Medical
ISBN: 9780124081185

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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

Brain Network Analysis
Author: Moo K. Chung
Publsiher: Cambridge University Press
Total Pages: 320
Release: 2019-06-30
Genre: Computers
ISBN: 9781107184862

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

Discovering the Human Connectome

Discovering the Human Connectome
Author: Olaf Sporns
Publsiher: MIT Press
Total Pages: 248
Release: 2012-09-07
Genre: Medical
ISBN: 9780262304801

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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.

Neural Network Models

Neural Network Models
Author: Philippe de Wilde
Publsiher: Springer Science & Business Media
Total Pages: 174
Release: 1997-05-30
Genre: Technology & Engineering
ISBN: 3540761292

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Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks.

Fundamentals of Neural Network Modeling

Fundamentals of Neural Network Modeling
Author: Randolph W. Parks,Daniel S. Levine,Debra L. Long
Publsiher: MIT Press
Total Pages: 428
Release: 1998
Genre: Science
ISBN: 0262161753

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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, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble

Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience
Author: Thomas Trappenberg
Publsiher: Oxford University Press
Total Pages: 390
Release: 2010
Genre: Mathematics
ISBN: 9780199568413

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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.

A First Course in Network Science

A First Course in Network Science
Author: Filippo Menczer,Santo Fortunato,Clayton A. Davis
Publsiher: Cambridge University Press
Total Pages: 300
Release: 2020-01-31
Genre: Business & Economics
ISBN: 9781108471138

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A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.

Networks of the Brain

Networks of the Brain
Author: Olaf Sporns
Publsiher: MIT Press
Total Pages: 424
Release: 2016-02-12
Genre: Medical
ISBN: 9780262528986

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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.

An Introduction to Resting State FMRI Functional Connectivity

An Introduction to Resting State FMRI Functional Connectivity
Author: Janine Bijsterbosch,Stephen M. Smith,Christian F. Beckmann
Publsiher: Oxford University Press
Total Pages: 156
Release: 2017-06
Genre: Electronic Book
ISBN: 9780198808220

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Spontaneous resting-state fluctuations in neuronal activity offer insights into the inherent organization 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 intrinsicfunctional connectivity networks, which are identified based on similarities in the signal measured from different brain regions.From data acquisition to interpretation of results, Introduction to Resting State fMRI Functional Connectivity discusses a wide range of approaches without requiring any previous knowledge of resting state fMRI, making it highly accessible to readers from a broad range of backgrounds.Supplemented with online datasets and examples to enable the reader to obtain hands-on experience working with real data, this primer provides a practical and approachable introduction for those new to the field of resting state fMRI.The Oxford Neuroimaging Primers are short texts aimed at new researchers or advanced undergraduates from the biological, medical or physical sciences. They are intended to provide a thorough understanding of the ways in which neuroimaging data can be analyzed and how that relates to acquisition andinterpretation. Each primer has been written so that it is a stand-alone introduction to a particular area of neuroimaging, and the primers also work together to provide a comprehensive foundation for this increasingly influential field.

Handbook of Functional MRI Data Analysis

Handbook of Functional MRI Data Analysis
Author: Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2011-08-22
Genre: Medical
ISBN: 9781139498364

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Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

Fundamentals of Cognitive Neuroscience

Fundamentals of Cognitive Neuroscience
Author: Nicole M. Gage,Bernard Baars
Publsiher: Academic Press
Total Pages: 564
Release: 2018-03-14
Genre: Medical
ISBN: 9780128038390

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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 research, including emotion, sleep and disorders of consciousness, and discussions of novel findings that highlight cognitive neuroscience’s practical applications. Written by two leading experts in the field and thoroughly updated, this book remains an indispensable introduction to the study of cognition. Presents an easy-to-read introduction to mind-brain science based on a simple functional diagram linked to specific brain functions Provides new, up-to-date, colorful brain images directly from research labs Contains "In the News" boxes that describe the newest research and augment foundational content Includes both a student and instructor website with basic terms and definitions, chapter guides, study questions, drawing exercises, downloadable lecture slides, test bank, flashcards, sample syllabi and links to multimedia resources

Network Approaches to Diseases of the Brain

Network Approaches to Diseases of the Brain
Author: Matt T. Bianchi,Verne S. Caviness,Sydney S. Cash
Publsiher: Bentham Science Publishers
Total Pages: 131
Release: 2012
Genre: Medical
ISBN: 9781608050178

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This book covers novel approaches using networks and oscillations and it will serve as a catalyst for translating these exciting advancements into the clinical arena. This collection of articles aims to accelerate the widespread clinical translation of network approaches by providing practical information accessible to clinicians in neurology and psychiatry - fields that are uniquely poised to implement these developments in clinical treatment of brain diseases. It should be a useful resource for researchers and clinicians in neurology and psychiatry.

MATLAB for Neuroscientists

MATLAB for Neuroscientists
Author: Pascal Wallisch,Michael E. Lusignan,Marc D. Benayoun,Tanya I. Baker,Adam Seth Dickey,Nicholas G. Hatsopoulos
Publsiher: Academic Press
Total Pages: 570
Release: 2014-01-09
Genre: Computers
ISBN: 9780123838377

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MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and advanced spectral analysis. Users at a variety of levels—advanced undergraduates, beginning graduate students, and researchers looking to modernize their skills—will learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners. The first complete volume on MATLAB focusing on neuroscience and psychology applications Problem-based approach with many examples from neuroscience and cognitive psychology using real data Illustrated in full color throughout Careful tutorial approach, by authors who are award-winning educators with strong teaching experience

Changing Connectomes

Changing Connectomes
Author: Marcus Kaiser
Publsiher: MIT Press
Total Pages: 248
Release: 2020-09-08
Genre: Science
ISBN: 9780262360814

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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 topological, spatial, and dynamical organization of such connectomes. In Changing Connectomes, Marcus Kaiser provides an up-to-date overview of the field of connectomics and introduces concepts and mechanisms underlying brain network changes during evolution and development.

Neural Surface Antigens

Neural Surface Antigens
Author: Jan Pruszak
Publsiher: Academic Press
Total Pages: 254
Release: 2015-03-23
Genre: Science
ISBN: 9780128011263

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Neural Surface Antigens: From Basic Biology towards Biomedical Applications focuses on the functional role of surface molecules in neural development, stem cell research, and translational biomedical paradigms. With an emphasis on human and rodent model systems, this reference covers fundamentals of neural stem cell biology and flow cytometric methodology. Addressing cell biologists as well as clinicians working in the neurosciences, the book was conceived by an international panel of experts to cover a vast array of particular surface antigen families and subtypes. It provides insight into the basic biology and functional mechanisms of neural cell surface signaling molecules influencing mammalian development, regeneration, and treatments. Introduces early phase clinical trials of neural stem cells Outlines characterization of surface molecule expression and methods for isolation which open unprecedented opportunities for functional study, quantitation & diagnostics Highlights the role of stem cells in neural surface antigen and biomarker analysis and applications