Network Neuroscience by Flavio Frohlich PDF, EPUB, FB2
9780128015865 English 0128015861 Network Neuroscience is a comprehensive textbook that introduces readers to the interdisciplinary field of studying the structure, dynamics, and function of brain networks. Network Neuroscience uniquely unites neurobiology, neurology, psychiatry, engineering, physics, and mathematics within the context of studying brain networks. The book does not require background knowledge in any of these fields and is ideal for the student or researcher who is new to network neuroscience. This book is equally suited as a textbook for undergraduate and graduate courses and as a basis for self-paced learning about the field. The book is structured into the units Neurons, Synapses, and Circuits, Measuring, Perturbing, and Analyzing Brain Networks, Cortical Oscillations, and Network Disorders. In addition, free-standing toolboxes are included that provide essential background knowledge on a wide range of topics relevant for network neuroscience. 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, 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, The technically challenging reality of the study of neural networks coupled with the disparate form of the spatial/temporal information captured poses a major hurdle for researchers and students in "network neuroscience" today. A comprehensive introduction to the study of networks has been much needed for quite some time, and this volume fills that niche. Written so as to accommodate a broad range of quantitative backgrounds, this easy-to-follow tutorial reference has no prerequisites beyond basic biology and maths. The volume provides a methodological foundation that covers key approaches from biology and engineering, and coverage includes: experimental techniques (electrophysiology in animal models, in vitro and in vivo approaches) human neurophysiology and imaging computational modeling (big) data analysis single cell and synaptic electrophysiology cortical network dynamics (from infra-slow oscillations to fast cortical oscillations) of both physiological and pathological network states brain stimulation to modulate cortical network dynamics Offers unique focus on methods for the analysis of network activity, both experimentally and theoretically Fresh, modern design with approachable organization of materials with illustrations, diagrams, textboxes, case studies, and literature highlights Coverage includes: experimental techniques (electrophysiology in animal models, in vitro and in vivo approaches), human neurophysiology and imaging, computational modeling, (big) data analysis, single cell and synaptic electrophysiology, cortical network dynamics (from infra-slow oscillations to fast cortical oscillations) of both physiological and pathological network states, and brain stimulation to modulate cortical network dynamics
9780128015865 English 0128015861 Network Neuroscience is a comprehensive textbook that introduces readers to the interdisciplinary field of studying the structure, dynamics, and function of brain networks. Network Neuroscience uniquely unites neurobiology, neurology, psychiatry, engineering, physics, and mathematics within the context of studying brain networks. The book does not require background knowledge in any of these fields and is ideal for the student or researcher who is new to network neuroscience. This book is equally suited as a textbook for undergraduate and graduate courses and as a basis for self-paced learning about the field. The book is structured into the units Neurons, Synapses, and Circuits, Measuring, Perturbing, and Analyzing Brain Networks, Cortical Oscillations, and Network Disorders. In addition, free-standing toolboxes are included that provide essential background knowledge on a wide range of topics relevant for network neuroscience. 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, 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, The technically challenging reality of the study of neural networks coupled with the disparate form of the spatial/temporal information captured poses a major hurdle for researchers and students in "network neuroscience" today. A comprehensive introduction to the study of networks has been much needed for quite some time, and this volume fills that niche. Written so as to accommodate a broad range of quantitative backgrounds, this easy-to-follow tutorial reference has no prerequisites beyond basic biology and maths. The volume provides a methodological foundation that covers key approaches from biology and engineering, and coverage includes: experimental techniques (electrophysiology in animal models, in vitro and in vivo approaches) human neurophysiology and imaging computational modeling (big) data analysis single cell and synaptic electrophysiology cortical network dynamics (from infra-slow oscillations to fast cortical oscillations) of both physiological and pathological network states brain stimulation to modulate cortical network dynamics Offers unique focus on methods for the analysis of network activity, both experimentally and theoretically Fresh, modern design with approachable organization of materials with illustrations, diagrams, textboxes, case studies, and literature highlights Coverage includes: experimental techniques (electrophysiology in animal models, in vitro and in vivo approaches), human neurophysiology and imaging, computational modeling, (big) data analysis, single cell and synaptic electrophysiology, cortical network dynamics (from infra-slow oscillations to fast cortical oscillations) of both physiological and pathological network states, and brain stimulation to modulate cortical network dynamics