Computational Neuroscience

Drozdstoy Stoyanov

ISBN 10: 1071632299 / ISBN 13: 9781071632291

Verlag: Springer US, 2023

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9781071632291

Bibliografische Details

• Titel: Computational Neuroscience
• Verlag: Springer US
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 1071632299
• ISBN-13: 9781071632291
• Einband: Buch
• Zustand: Neu
• Abmessungen: 260B x 183 H x 22 T Millimeter Breite: 260 mm, Höhe: 183 mm, Tiefe: 22 mm
• Gewicht: 743 Gramm

Über diesen Titel

Inhaltsangabe

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.