Maximum Likelihood Estimation Applied to Multiepoch MEG/EEG Analysis

Maximum Likelihood Estimation Applied to Multiepoch MEG/EEG Analysis PDF Author: Boris V. Baryshnikov
Publisher:
ISBN:
Category :
Languages : en
Pages : 142

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Maximum Likelihood Estimation Applied to Multiepoch MEG/EEG Analysis

Maximum Likelihood Estimation Applied to Multiepoch MEG/EEG Analysis PDF Author: Boris V. Baryshnikov
Publisher:
ISBN:
Category :
Languages : en
Pages : 142

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Book Description


MEG/EEG Source Detection and Localization Techniques for Small Numbers of Data Records

MEG/EEG Source Detection and Localization Techniques for Small Numbers of Data Records PDF Author: Alberto Rodríguez Rivera
Publisher:
ISBN:
Category :
Languages : en
Pages : 100

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Spatio-temporal Framework for MEG/EEG Signal Estimation and Source Localization

Spatio-temporal Framework for MEG/EEG Signal Estimation and Source Localization PDF Author: Tulaya Limpiti
Publisher:
ISBN:
Category :
Languages : en
Pages : 148

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Adaptive Spatial Filters for Electromagnetic Brain Imaging

Adaptive Spatial Filters for Electromagnetic Brain Imaging PDF Author: Kensuke Sekihara
Publisher: Springer Science & Business Media
ISBN: 3540793704
Category : Technology & Engineering
Languages : en
Pages : 247

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Book Description
Neural activity in the human brain generates coherent synaptic and intracellular currents in cortical columns that create electromagnetic signals which can be measured outside the head using magnetoencephalography (MEG) and electroencephalography (EEG). Electromagnetic brain imaging refers to techniques that reconstruct neural activity from MEG and EEG signals. Electromagnetic brain imaging is unique among functional imaging techniques for its ability to provide spatio-temporal brain activation profiles that reflect not only where the activity occurs in the brain but also when this activity occurs in relation to external and internal cognitive events, as well as to activity in other brain regions. Adaptive spatial filters are powerful algorithms for electromagnetic brain imaging that enable high-fidelity reconstruction of neuronal activity. This book describes the technical advances of adaptive spatial filters for electromagnetic brain imaging by integrating and synthesizing available information and describes various factors that affect its performance. The intended audience include graduate students and researchers interested in the methodological aspects of electromagnetic brain imaging.

Biomag 2004

Biomag 2004 PDF Author: Eric Halgren
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 946

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SSP ...

SSP ... PDF Author:
Publisher:
ISBN:
Category : Array processors
Languages : en
Pages : 692

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Medical Physics

Medical Physics PDF Author: Gerardo Herrera Corral
Publisher: American Institute of Physics
ISBN:
Category : Medical
Languages : en
Pages : 338

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Book Description
Mexico City, Mexico, 17-19 March 2008

Event-related Potentials

Event-related Potentials PDF Author: Todd C. Handy
Publisher: MIT Press
ISBN: 9780262083331
Category : Medical
Languages : en
Pages : 430

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Book Description
The first comprehensive handbook to detail ERP methodology, covering experimental design, data analysis, and special applications.

MEG

MEG PDF Author: Peter Hansen
Publisher: Oxford University Press
ISBN: 0199719136
Category : Medical
Languages : en
Pages : 449

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Book Description
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.

Cutscores

Cutscores PDF Author: Michael J. Zieky
Publisher:
ISBN: 9781438250304
Category : Educational tests and measurements
Languages : en
Pages : 230

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Book Description
This is a how-to-it manual aimed at people who have to plan and run a cutscore study for educational or occupational tests. The focus is on practical advice rather than on theory or reviews of research.