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Computational Neuroscience. 2023 ed.
・ISBN 978-1-0716-3232-1 paper EUR 129.99
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| 著者・編者 | Stoyanov, Drozdstoy / Draganski, Bogdan / Brambilla, Paolo / Lamm, Claus (eds.), |
|---|---|
| シリーズ | (Neuromethods 199) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2024 |
| ページ数 | 274 pp. |
| 言語 | ENG |
| ニュース番号 | <A03-49825> |
解説
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.
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.