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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 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