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How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data

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Grosse-Wentrup,  M.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Harmeling,  S.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Zander,  TO
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Hill,  NJ
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf,  B.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Grosse-Wentrup, M., Harmeling, S., Zander, T., Hill, N., & Schölkopf, B. (2013). How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data. In Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013) (pp. 102-105). IEEE Computer Society. doi:10.1109/PRNI.2013.35.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0017-F29F-F
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