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Network Neuroscience

Network Neuroscience Book
Author : Flavio Frohlich
Publisher : Academic Press
Release : 2016-08-01
ISBN : 9780128015605
Language : En, Es, Fr & De

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Book Description :

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 to the physicist or engineer, who is interested in neuroscience applications of mathematical and engineering tools. The book spans 27 chapters that cover everything from individual cells all the way to complex network disorders such as depression and autism spectrum disorders. An additional 12 toolboxes provide the necessary background for making network neuroscience accessible independent of the reader s background. Dr. Flavio Frohlich (www.networkneuroscientist.org) wrote this book based on his experience of mentoring dozens of trainees in the Frohlich Lab, from undergraduate students to senior researchers. The Frohlich lab (www.frohlichlab.org) pursues a unique and integrated vision that combines computer simulations, animal model studies, human studies, and clinical trials with the goal of developing novel brain stimulation treatments for psychiatric disorders. The book is based on a course he teaches at UNC that has attracted trainees from many different departments, including neuroscience, biomedical engineering, psychology, cell biology, physiology, neurology, and psychiatry. Dr. Frohlich has consistently received rave reviews for his teaching. With this book he hopes to make his integrated view of neuroscience available to trainees and researchers on a global scale. His goal is to make the book the training manual for the next generation of (network) neuroscientists, who will be fusing biology, engineering, and medicine to unravel the big questions about the brain and to revolutionize psychiatry and neurology. Easy-to-read, comprehensive introduction to the emerging field of network neuroscienceIncludes 27 chapters packed with information on topics from single neurons to complex network disorders such as depression and autismFeatures 12 toolboxes serve as primers to provide essential background knowledge in the fields of biology, mathematics, engineering, and physics"

Changing Connectomes

Changing Connectomes Book
Author : Marcus Kaiser
Publisher : MIT Press
Release : 2020-09-08
ISBN : 0262360810
Language : En, Es, Fr & De

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Book Description :

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.

Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis Book
Author : Alex Fornito,Andrew Zalesky,Edward Bullmore
Publisher : Academic Press
Release : 2016-03-04
ISBN : 0124081185
Language : En, Es, Fr & De

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Book Description :

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

Network Neuroscience

Network Neuroscience Book
Author : Flavio Fröhlich
Publisher : Academic Press
Release : 2016-09-20
ISBN : 0128015861
Language : En, Es, Fr & De

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Book Description :

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 to the physicist or engineer, who is interested in neuroscience applications of mathematical and engineering tools. The book spans 27 chapters that cover everything from individual cells all the way to complex network disorders such as depression and autism spectrum disorders. An additional 12 toolboxes provide the necessary background for making network neuroscience accessible independent of the reader’s background. Dr. Flavio Frohlich (www.networkneuroscientist.org) wrote this book based on his experience of mentoring dozens of trainees in the Frohlich Lab, from undergraduate students to senior researchers. The Frohlich lab (www.frohlichlab.org) pursues a unique and integrated vision that combines computer simulations, animal model studies, human studies, and clinical trials with the goal of developing novel brain stimulation treatments for psychiatric disorders. The book is based on a course he teaches at UNC that has attracted trainees from many different departments, including neuroscience, biomedical engineering, psychology, cell biology, physiology, neurology, and psychiatry. Dr. Frohlich has consistently received rave reviews for his teaching. With this book he hopes to make his integrated view of neuroscience available to trainees and researchers on a global scale. His goal is to make the book the training manual for the next generation of (network) neuroscientists, who will be fusing biology, engineering, and medicine to unravel the big questions about the brain and to revolutionize psychiatry and neurology. Easy-to-read, comprehensive introduction to the emerging field of network neuroscience Includes 27 chapters packed with information on topics from single neurons to complex network disorders such as depression and autism Features 12 toolboxes serve as primers to provide essential background knowledge in the fields of biology, mathematics, engineering, and physics

Networks of the Brain

Networks of the Brain Book
Author : Olaf Sporns
Publisher : MIT Press
Release : 2010-10-01
ISBN : 0262288923
Language : En, Es, Fr & De

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Book Description :

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.

Psychiatry and Clinical Neuroscience

Psychiatry and Clinical Neuroscience Book
Author : Charles Zorumski,Eugene Rubin
Publisher : Oxford University Press
Release : 2011-06-16
ISBN : 0199768765
Language : En, Es, Fr & De

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Book Description :

Psychiatric disorders are brain disorders, reflecting dysfunction within and across neural networks. Advances in functional neuroimaging and cellular neuroscience offer hope of revolutionizing the approach to diagnosis and treatment of mental illnesses. This book presents an introduction to network neuroscience and demonstrates the relationship of advances in this field to the future of psychiatry.

Systems Neuroscience in Depression

Systems Neuroscience in Depression Book
Author : Thomas Frodl
Publisher : Academic Press
Release : 2016-09-01
ISBN : 0128026286
Language : En, Es, Fr & De

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Book Description :

Systems Neuroscience in Depression provides a comprehensive overview of the normal and depressed brain processes as studied from a systems neuroscience perspective. Systems neuroscience uses a wide variety of approaches to study how networks of neurons form the bases of higher brain function. A broad overview is discussed starting with a background from neurodevelopment and neural understanding as well as novel treatment approaches for depression. This book covers basic developmental aspects and depressive psychopathology, as well as the basic scientific background from animal models and experimental research. Current advances in systems neuroscience are highlighted in studies from child and adolescent psychiatry. Integrated approaches are presented with regards to genetics, neuroimaging and neuroinflammation as well as neuroendocrinology. The field of systems and network neuroscience is evolving rapidly and this book provides a greatly needed resource for researchers and practitioners in systems neuroscience and psychiatry. Knowledge covering the whole life span from early to later life Comprehensively written chapters developing from molecules via epigenetics and neural circuits to clinical neuroscience Understanding the neurobiology of major depressive disorder Integrating stress and environmental factors with molecular underpinnings More than 25 illustrations and tables

Fundamentals of Neural Network Modeling

Fundamentals of Neural Network Modeling Book
Author : Randolph W. Parks,Daniel S. Levine,Debra L. Long
Publisher : MIT Press
Release : 1998
ISBN : 9780262161756
Language : En, Es, Fr & De

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Book Description :

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

Lectures in Supercomputational Neuroscience

Lectures in Supercomputational Neuroscience Book
Author : Peter Graben,Changsong Zhou,Marco Thiel,Jürgen Kurths
Publisher : Springer
Release : 2007-10-19
ISBN : 3540731598
Language : En, Es, Fr & De

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Book Description :

Written from the physicist’s perspective, this book introduces computational neuroscience with in-depth contributions by system neuroscientists. The authors set forth a conceptual model for complex networks of neurons that incorporates important features of the brain. The computational implementation on supercomputers, discussed in detail, enables you to adapt the algorithm for your own research. Worked-out examples of applications are provided.

Neurons and Networks

Neurons and Networks Book
Author : John E. Dowling
Publisher : Harvard University Press
Release : 2001
ISBN : 9780674004627
Language : En, Es, Fr & De

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Book Description :

Completely revised and enlarged with six new chapters, the second edition of Neurons and Networks is an introduction not just to neurobiology, but to all of behavioral neuroscience. It is an ideal text for first- or second-year college students with minimal college science exposure.

Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience Book
Author : Thomas Trappenberg
Publisher : Oxford University Press
Release : 2010
ISBN : 0199568413
Language : En, Es, Fr & De

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Book Description :

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 models of higher-order cognitive functions to demonstrate the advanced insight that can begained with such studies.

Current Advances in Affective Neuroscience

Current Advances in Affective Neuroscience Book
Author : Keith Maurice Kendrick,Benjamin Becker,Jiaojian Wang,Maria Bobes
Publisher : Frontiers Media SA
Release : 2020-05-29
ISBN : 2889637573
Language : En, Es, Fr & De

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Book Description :

Download Current Advances in Affective Neuroscience book written by Keith Maurice Kendrick,Benjamin Becker,Jiaojian Wang,Maria Bobes, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Network Spread Models of Neurodegenerative Diseases

Network Spread Models of Neurodegenerative Diseases Book
Author : Ashish Raj,Yasser Iturria Medina
Publisher : Frontiers Media SA
Release : 2019-04-18
ISBN : 2889457680
Language : En, Es, Fr & De

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Book Description :

It is a real pleasure to introduce the excellent papers contributed by leading experts to our Research Topic proposing various network models of dementia spread. The focus is strongly on disease-specific mathematical modeling rather than general graph theory. The emerging field of network neuroscience visualizes the brain as a graph consisting of nodes representing regions and edges as connections between them. This complex network supports efficient communication along neural projections, but also, unfortunately, the transmission and progression of Alzheimer’s and other neurodegenerative disorders. If we could know the brain’s network organization, could we then predict how degenerative processes might develop on this network? As these papers demonstrate, the answer is, increasingly, yes.

Mathematical and Theoretical Neuroscience

Mathematical and Theoretical Neuroscience Book
Author : Giovanni Naldi,Thierry Nieus
Publisher : Springer
Release : 2018-03-20
ISBN : 3319682970
Language : En, Es, Fr & De

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Book Description :

This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical and numerical topics; statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience.

Neuronal Networks in Brain Function CNS Disorders and Therapeutics

Neuronal Networks in Brain Function  CNS Disorders  and Therapeutics Book
Author : Carl Faingold,Hal Blumenfeld
Publisher : Unknown
Release : 2014-01-23
ISBN : 9780124158047
Language : En, Es, Fr & De

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Book Description :

"How the brain accomplishes many of its more complex tasks can only be properly understood via the study of neuronal network control mechanisms and the interactions among networks. Large networks are able to undergo major changes, resulting in substantial alterations of brain function, affecting everything from learning to the potential for epilepsy and other CNS disorders ... the volume serves to advance the understanding of how the brain carries out important tasks via networks, how these networks interact in normal brain function, major mechanisms that control network activity, and the interaction of the normal networks to produce more complex behaviors. The chapters also show how brain disorders can result from adnormal network interactions, and how therapy of these disorders can be advanced through this network approach."--Page 4 of cover.

Cognitive Neuroscience and Psychotherapy

Cognitive Neuroscience and Psychotherapy Book
Author : Warren Tryon
Publisher : Academic Press
Release : 2014-03-22
ISBN : 0124200982
Language : En, Es, Fr & De

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Book Description :

Cognitive Neuroscience and Psychotherapy provides a bionetwork theory unifying empirical evidence in cognitive neuroscience and psychopathology to explain how emotion, learning, and reinforcement affect personality and its extremes. The book uses the theory to explain research results in both disciplines and to predict future findings, as well as to suggest what the theory and evidence say about how we should be treating disorders for maximum effectiveness. While theoretical in nature, the book has practical applications, and takes a mathematical approach to proving its own theorems. The book is unapologetically physical in nature, describing everything we think and feel by way of physical mechanisms and reactions in the brain. This unique marrying of cognitive neuroscience and clinical psychology provides an opportunity to better understand both. Unifying theory for cognitive neuroscience and clinical psychology Describes the brain in physical terms via mechanistic processes Systematically uses the theory to explain empirical evidence in both disciplines Theory has practical applications for psychotherapy Ancillary material may be found at: http://booksite.elsevier.com/9780124200715 including an additional chapter and supplements

The Cambridge Handbook of Intelligence and Cognitive Neuroscience

The Cambridge Handbook of Intelligence and Cognitive Neuroscience Book
Author : Aron K. Barbey,Sherif Karama,Richard J. Haier
Publisher : Cambridge University Press
Release : 2021-03-31
ISBN : 1108573746
Language : En, Es, Fr & De

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Book Description :

This handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence. Written for undergraduate or graduate students, practitioners, and researchers in psychology, cognitive neuroscience, and related fields, the chapters summarize research emerging from the rapidly developing neuroscience literature on human intelligence. The volume focusses on theoretical innovation and recent advances in the measurement, modelling, and characterization of the neurobiology of intelligence differences, especially from brain imaging studies. It summarizes fundamental issues in the characterization and measurement of general intelligence, and surveys multidisciplinary research consortia and large-scale data repositories for the study of general intelligence. A systematic review of neuroimaging methods for studying intelligence is provided, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging of metabolic markers of intelligence.

Computational Neuroscience

Computational Neuroscience Book
Author : Hanspeter A Mallot
Publisher : Springer Science & Business Media
Release : 2013-05-23
ISBN : 3319008617
Language : En, Es, Fr & De

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Book Description :

Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.

Network Science in Cognitive Psychology

Network Science in Cognitive Psychology Book
Author : Michael S. Vitevitch
Publisher : Routledge
Release : 2019-11-26
ISBN : 1000740684
Language : En, Es, Fr & De

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Book Description :

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.