Книга MEG Peter Hansen

MEG

An Introduction to Methods

Език: Английски език
Корици: С твърди корици
Издател: Oxford University Press Inc
Наличност: Налично при издателя, по поръчка
Изпращаме след 28-34 дни
321.50 628.80 лв
Magnetoencephalography (MEG) is an exciting brain imaging technology that allows real-time tracking...

Информация за книгата

Език
Английски език
Корици
Книга - С твърди корици
Издадена
2010
страници
448
EAN
9780195307238
ISBN
0195307232
Enbook ID
04517217
Теглоt
1130
Размери
166 x 241 x 25

Пълно описание

Magnetoencephalography (MEG) is an exciting brain imaging technology that allows real-time tracking of neural activity, making it an invaluable tool for advancing our understanding of brain function. In this comprehensive introduction to MEG, Peter Hansen, Morten Kringelbach, and Riitta Salmelin have brought together the leading researchers to provide the basic tools for planning and executing MEG experiments, as well as analyzing and interpreting the resulting data. Chapters on the basics describe the fundamentals of MEG and its instrumentation, and provide guidelines for designing experiments and performing successful measurements. Chapters on data analysis present it in detail, from general concepts and assumptions to analysis of evoked responses and oscillatory background activity. Chapters on solutions propose potential solutions to the inverse problem using techniques such as minimum norm estimates, spatial filters and beamformers. Chapters on combinations elucidate how MEG can be used to complement other neuroimaging techniques. Chapters on applications provide practical examples of how to use MEG to study sensory processing and cognitive tasks, and how MEG can be used in a clinical setting. These chapters form a complete basic reference source for those interested in exploring or already using MEG that will hopefully inspire them to try to develop new, exciting approaches to designing and analyzing their own studies. This book will be a valuable resource for researchers from diverse fields, including neuroimaging, cognitive neuroscience, medical imaging, computer modelling, as well as for clinical practitioners.

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