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

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0017-F29F-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-61B2-5
Genre: Conference Paper

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 Creators:
Grosse-Wentrup, M.1, Author           
Harmeling, S.1, Author           
Zander, TO1, Author           
Hill, NJ1, Author           
Schölkopf, B.1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
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 Dates: 2013
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: GrosseWentrupHZHS2013
DOI: 10.1109/PRNI.2013.35
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Title: 2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI)
Place of Event: Philadelphia, PA, USA
Start-/End Date: 2013-06-22 - 2013-06-24

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Title: Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 102 - 105 Identifier: -