Computational Neuroscience (1st ed. 2023)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Neuromethods, 199
Release date:	May 2023
First published:	2023
Editors:	Drozdstoy Stoyanov • Bogdan Draganski • Paolo Brambilla • Claus Lamm
Dimensions:	254 x 178mm (L x W)
Pages:	274
Edition:	1st ed. 2023
ISBN-13:	978-1-07-163229-1
Categories:	Books
LSN:	1-07-163229-9
Barcode:	9781071632291

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