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This volume looks at the latest advancements in imaging
neuroscience methods using magnetic resonance imaging (MRI) and
electroencephalography (EEG) to study the healthy and diseased
brain. The chapters in this book are organized into five parts.
Parts One and Two cover an introduction to this field and the
latest use of molecular models. Part Three explores
neurophysiological methods for assessment, such as quantitative EEG
and event-related potentials. Part Four discusses the advances and
innovations made in computational anatomy, and Part Five addresses
the challenges faced by researchers prior to the computational
neuroscience to find wider translational applications in the field
of psychiatry and mental health. In the Neuromethods series style,
chapters include the kind of detail and key advice from the
specialists needed to get successful results in your
laboratory. Cutting-edge and comprehensive, Computational
Neuroscience is a valuable tool for researchers in the psychiatry
and mental health fields who want to learn more about ways to
incorporate computational approaches into utility and validity of
clinical methods.
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