[Eeglablist] Method for multi-class classification of independent components of EEG

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Mon May 18 10:57:37 PDT 2015

Dear Laura,

Thank you for update! Your tool will educate new ICA users into experts!


On Thu, May 14, 2015 at 2:05 AM, Laura Frolich <laura.frolich at gmail.com>

> Dear EEGLablist members,
> I would like to introduce a classification method, IC_MARC, that
> distinguishes between independent components of EEG of the following types:
> neural components, blinks, lateral eye movements, heart beat artefacts,
> muscle artefacts, and mixed/noisy components. The classification method is
> included in an EEGLab plugin available at
> http://www2.compute.dtu.dk/~lffr/publications/indexpub.php.
> The method works with EEGLab versions up to and including From
> then on a problem with a FieldTrip function used by a DIPFIT function that
> IC_MARC relies on started occurring.
> The method is described in the article “Classification of independent
> components of EEG into multiple artifact classes”, available at
> http://onlinelibrary.wiley.com/doi/10.1111/psyp.12290/abstract.
> I hope this plug-in will be useful. Please contact me if you experience
> any problems using IC_MARC.
> Sincerely,
> Laura Frølich
> PhD Student
> Section for Cognitive Systems
> Technical University of Denmark
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Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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