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ElectroMagnetoEncephalography Software : Overview and Integration with Other EEGMEG Toolboxes
Joint Authors
Peyk, Peter
De Cesarei, Andrea
Junghöfer, Markus
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-03-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
EMEGS (electromagnetic encephalography software) is a MATLAB toolbox designed to provide novice as well as expert users in the field of neuroscience with a variety of functions to perform analysis of EEG and MEG data.
The software consists of a set of graphical interfaces devoted to preprocessing, analysis, and visualization of electromagnetic data.
Moreover, it can be extended using a plug-in interface.
Here, an overview of the capabilities of the toolbox is provided, together with a simple tutorial for both a standard ERP analysis and a time-frequency analysis.
Latest features and future directions of the software development are presented in the final section.
American Psychological Association (APA)
Peyk, Peter& De Cesarei, Andrea& Junghöfer, Markus. 2011. ElectroMagnetoEncephalography Software : Overview and Integration with Other EEGMEG Toolboxes. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-504207
Modern Language Association (MLA)
Peyk, Peter…[et al.]. ElectroMagnetoEncephalography Software : Overview and Integration with Other EEGMEG Toolboxes. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-10.
https://search.emarefa.net/detail/BIM-504207
American Medical Association (AMA)
Peyk, Peter& De Cesarei, Andrea& Junghöfer, Markus. ElectroMagnetoEncephalography Software : Overview and Integration with Other EEGMEG Toolboxes. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-504207
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504207