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.

Peyk, P., De Cesarei, A., Junghöfer, M. (2011). ElectroMagnetoEncephalography Software: Overview and Integration with Other EEG/MEG Toolboxes. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2011, 1-10 [10.1155/2011/861705].

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

De Cesarei A.;
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
Peyk, P., De Cesarei, A., Junghöfer, M. (2011). ElectroMagnetoEncephalography Software: Overview and Integration with Other EEG/MEG Toolboxes. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2011, 1-10 [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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