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
ISBN 10: 0124081185
ISBN 13: 9780124081185
Language: EN, FR, DE, ES & NL

Fundamentals of Brain Network Analysis Book Review:

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

Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis
Author: Alex Fornito,Andrew Zalesky,Edward T. Bullmore
Publsiher: Academic Press
Total Pages: 476
Release: 2015-11-01
ISBN 10: 9780124079083
ISBN 13: 0124079083
Language: EN, FR, DE, ES & NL

Fundamentals of Brain Network Analysis Book Review:

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 the human connectome. Provides a step-by-step introduction to connectomics that is suitable for both researchers and students Presents a general overview and discussions of various issues involved in using neuroimaging to build a connectomic map, the main measures used to analyze connectomic data, and an introduction to advanced topics in the field Helps readers determine how to best use fMRI/DTI data to make a brain network, how to analyze that network using graph theory, and how to compare and interpret findings Assumes no prior knowledge beyond basic training in human MRI, and adopts a consistent format across chapters to facilitate learning and linking of different concepts

Brain Network Analysis

Brain Network Analysis
Author: Moo K. Chung
Publsiher: Cambridge University Press
Total Pages: 320
Release: 2019-06-30
ISBN 10: 110718486X
ISBN 13: 9781107184862
Language: EN, FR, DE, ES & NL

Brain Network Analysis Book Review:

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

Introduction to Resting State fMRI Functional Connectivity

Introduction to Resting State fMRI Functional Connectivity
Author: Janine Bijsterbosch,Stephen M. Smith,Christian F. Beckmann
Publsiher: Oxford University Press
Total Pages: 200
Release: 2017-06-15
ISBN 10: 0192535757
ISBN 13: 9780192535757
Language: EN, FR, DE, ES & NL

Introduction to Resting State fMRI Functional Connectivity Book Review:

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 of the reader, making it truly accessible to readers from a broad range of backgrounds. Supplemented with online examples to enable the reader to obtain hands-on experience working with data, the text also provides details to enhance learning for those already experienced in the field. The Oxford Neuroimaging Primers are written for new researchers or advanced undergraduates in neuroimaging to provide a thorough understanding of the ways in which neuroimaging data can be analysed and interpreted. Aimed at students without a background in mathematics or physics, this book is also important reading for those familiar with task fMRI but new to the field of resting state fMRI.

Discovering the Human Connectome

Discovering the Human Connectome
Author: Olaf Sporns
Publsiher: MIT Press
Total Pages: 248
Release: 2012-09-07
ISBN 10: 0262304805
ISBN 13: 9780262304801
Language: EN, FR, DE, ES & NL

Discovering the Human Connectome Book Review:

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.

Networks of the Brain

Networks of the Brain
Author: Olaf Sporns
Publsiher: MIT Press
Total Pages: 424
Release: 2016-02-12
ISBN 10: 0262528983
ISBN 13: 9780262528986
Language: EN, FR, DE, ES & NL

Networks of the Brain Book Review:

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.

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: 450
Release: 1998
ISBN 10: 9780262161756
ISBN 13: 0262161753
Language: EN, FR, DE, ES & NL

Fundamentals of Neural Network Modeling Book Review:

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
ISBN 10: 0199568413
ISBN 13: 9780199568413
Language: EN, FR, DE, ES & NL

Fundamentals of Computational Neuroscience Book Review:

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
ISBN 10: 1108471137
ISBN 13: 9781108471138
Language: EN, FR, DE, ES & NL

A First Course in Network Science Book Review:

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

Neural Network Models

Neural Network Models
Author: Philippe de Wilde
Publsiher: Springer Science & Business Media
Total Pages: 174
Release: 1997-05-30
ISBN 10: 9783540761297
ISBN 13: 3540761292
Language: EN, FR, DE, ES & NL

Neural Network Models Book Review:

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 Cognitive Neuroscience

Fundamentals of Cognitive Neuroscience
Author: Nicole M. Gage,Bernard Baars
Publsiher: Academic Press
Total Pages: 564
Release: 2018-03-14
ISBN 10: 012803839X
ISBN 13: 9780128038390
Language: EN, FR, DE, ES & NL

Fundamentals of Cognitive Neuroscience Book Review:

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

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
ISBN 10: 1139498363
ISBN 13: 9781139498364
Language: EN, FR, DE, ES & NL

Handbook of Functional MRI Data Analysis Book Review:

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.

An Introduction to Neural Networks

An Introduction to Neural Networks
Author: Kevin Gurney
Publsiher: CRC Press
Total Pages: 234
Release: 2018-10-08
ISBN 10: 1482286998
ISBN 13: 9781482286991
Language: EN, FR, DE, ES & NL

An Introduction to Neural Networks Book Review:

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.

Digitally Enabled Social Change

Digitally Enabled Social Change
Author: Jennifer Earl,Katrina Kimport
Publsiher: MIT Press
Total Pages: 258
Release: 2011
ISBN 10: 0262015102
ISBN 13: 9780262015103
Language: EN, FR, DE, ES & NL

Digitally Enabled Social Change Book Review:

An investigation into how specific Web technologies can change the dynamics oforganizing and participating in political and social protest.

Network Science in Cognitive Psychology

Network Science in Cognitive Psychology
Author: Michael S. Vitevitch
Publsiher: Routledge
Total Pages: 204
Release: 2019-11-26
ISBN 10: 1000740684
ISBN 13: 9781000740684
Language: EN, FR, DE, ES & NL

Network Science in Cognitive Psychology Book Review:

This volume provides an integrative review of the emerging and increasing use of network science techniques in cognitive psychology, first developed in mathematics, computer science, sociology, and physics. The first resource on network science for cognitive psychologists in a growing international market, Vitevitch and a team of expert contributors provide a comprehensive and accessible overview of this cutting-edge topic. This innovative guide draws on the three traditional pillars of cognitive psychological research–experimental, computational, and neuroscientific–and incorporates the latest findings from neuroimaging. The network perspective is applied to the fundamental domains of cognitive psychology including memory, language, problem-solving, and learning, as well as creativity and human intelligence, highlighting the insights to be gained through applying network science to a wide range of approaches and topics in cognitive psychology Network Science in Cognitive Psychology will be essential reading for all upper-level cognitive psychology students, psychological researchers interested in using network science in their work, and network scientists interested in investigating questions related to cognition. It will also be useful for early career researchers and students in methodology and related courses.

Changing Connectomes

Changing Connectomes
Author: Marcus Kaiser
Publsiher: MIT Press
Total Pages: 248
Release: 2020-09-08
ISBN 10: 0262360810
ISBN 13: 9780262360814
Language: EN, FR, DE, ES & NL

Changing Connectomes Book Review:

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.

The Autonomous Brain

The Autonomous Brain
Author: Peter M. Milner
Publsiher: Psychology Press
Total Pages: 166
Release: 1999-07-01
ISBN 10: 1135670269
ISBN 13: 9781135670269
Language: EN, FR, DE, ES & NL

The Autonomous Brain Book Review:

The behaviorist credo that animals are devices for translating sensory input into appropriate responses dies hard. The thesis of this pathbreaking book is that the brain is innately constructed to initiate behaviors likely to promote the survival of the species, and to sensitize sensory systems to stimuli required for those behaviors. Animals attend innately to vital stimuli (reinforcers) and the more advanced animals learn to attend to related stimuli as well. Thus, the centrifugal attentional components of sensory systems are as important for learned behavior as the more conventional paths. It is hypothesized that the basal ganglia are an important source of response plans and attentional signals. This reversal of traditional learning theory, along with the rapid expansion of knowledge about the brain, especially that acquired by improved techniques for recording neural activity in behaving animals and people, makes it possible to re-examine some long standing psychological problems. One such problem is how the intention to perform an act selects sensory input from relevant objects and ensures that it alone is delivered to the motor system to control the intended response. This is an aspect of what is sometimes known as the binding problem: how the different features of an observed object are integrated into a unified percept. Another problem that has never been satisfactorily addressed is how the brain stores information concerning temporal order, a requirement for the production of most learned responses, including pronouncing and writing words. A fundamental process, the association between brain activities representing external events, is surprisingly poorly understood at the neural level. Most concepts have multiple associations but the concept is not unduly corrupted by them, and usually only a single appropriate association is aroused at a time. Furthermore, any arbitrary pair of concepts can be instantly associated, apparently requiring an impossibly high degree of neural interconnection. The author suggests a substitute for the reverberating closed neuronal loop as an explanation for the engram (active memory trace or working memory), which may go some way to resolving these difficulties. Shedding new light on enduring questions, The Autonomous Brain will be welcomed by a broad audience of behavioral and brain scientists.

Exploratory Social Network Analysis with Pajek

Exploratory Social Network Analysis with Pajek
Author: Wouter de Nooy,Andrej Mrvar,Vladimir Batagelj
Publsiher: Cambridge University Press
Total Pages: 334
Release: 2005-01-10
ISBN 10: 9780521841733
ISBN 13: 0521841739
Language: EN, FR, DE, ES & NL

Exploratory Social Network Analysis with Pajek Book Review:

This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis. The book introduces the main concepts and their applications in social research with exercises. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section.

The Fundamentals of Brain Development

The Fundamentals of Brain Development
Author: Joan Stiles,Emeritus Professor of Cognitive Sciences Joan Stiles
Publsiher: Harvard University Press
Total Pages: 452
Release: 2008-02-28
ISBN 10: 9780674026742
ISBN 13: 0674026748
Language: EN, FR, DE, ES & NL

The Fundamentals of Brain Development Book Review:

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?

EEG Signal Processing

EEG Signal Processing
Author: Saeid Sanei,Jonathon A. Chambers
Publsiher: John Wiley & Sons
Total Pages: 312
Release: 2013-05-28
ISBN 10: 1118691237
ISBN 13: 9781118691236
Language: EN, FR, DE, ES & NL

EEG Signal Processing Book Review:

Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.