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.

ElectroMagnetoEncephalography Software: Overview and Integration with Other EEG/MEG Toolboxes / Peyk P.; De Cesarei A.; Junghöfer M.. - In: COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE. - ISSN 1687-5265. - ELETTRONICO. - Volume 2011 (2011):(2011), pp. 861705.1-861705.11. [10.1155/2011/861705]

ElectroMagnetoEncephalography Software: Overview and Integration with Other EEG/MEG Toolboxes

DE CESAREI, ANDREA;
2011

Abstract

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.
2011
ElectroMagnetoEncephalography Software: Overview and Integration with Other EEG/MEG Toolboxes / Peyk P.; De Cesarei A.; Junghöfer M.. - In: COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE. - ISSN 1687-5265. - ELETTRONICO. - Volume 2011 (2011):(2011), pp. 861705.1-861705.11. [10.1155/2011/861705]
Peyk P.; De Cesarei A.; Junghöfer M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/103891
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