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

Grosse-Wentrup, M.; Harmeling, S.; Zander, TO; Hill, NJ; Schölkopf, B.

doi:10.1109/PRNI.2013.35

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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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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.

引用: https://hdl.handle.net/11858/00-001M-0000-0017-F29F-F

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