Academic Software Toolboxes for the Analysis of MEG Data

Abstract : Free MEG and EEG data analysis software packages springing from academic research are now widely used in published work. These toolboxes and applications are typically developed by or in close contact with researchers addressing cognitive or clinical neuroscience questions. Thus they often contain the latest methodological developments from the research community. It is therefore vital to educate MEG researchers and make them aware of the new possibilities offered by these toolboxes. The aim of this paper is to illustrate the characteristics and advantages of the various toolboxes to users and developers alike. We present each toolbox with their key features and target audience.
Type de document :
Communication dans un congrès
Supek, Selma and Susac, Ana. Biomag 2010, May 2010, Dubrovnik, Croatia. Springer, 28, pp.101-104, 2010, IFMBE Proceedings. 〈http://www.springerlink.com/content/w02m0814u77122j3/?p=022fbc1435c049e5a4b5fc5c1fa124fc&pi=0〉
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Contributeur : Maureen Clerc <>
Soumis le : vendredi 2 juillet 2010 - 13:26:43
Dernière modification le : mardi 18 septembre 2018 - 12:04:02

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  • HAL Id : inria-00497071, version 1

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Sylvain Baillet, Richard Leahy, François Tadel, John Mosher, Arnaud Delorme, et al.. Academic Software Toolboxes for the Analysis of MEG Data. Supek, Selma and Susac, Ana. Biomag 2010, May 2010, Dubrovnik, Croatia. Springer, 28, pp.101-104, 2010, IFMBE Proceedings. 〈http://www.springerlink.com/content/w02m0814u77122j3/?p=022fbc1435c049e5a4b5fc5c1fa124fc&pi=0〉. 〈inria-00497071〉

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