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  Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain

Jamshidi Idaji, M., Mueller, K.-R., Nolte, G., Maess, B., Villringer, A., & Nikulin, V. V. (2019). Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain. bioRxiv. doi:10.1101/680397.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-C272-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-DB45-8
Genre: Paper

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 Creators:
Jamshidi Idaji, Mina1, 2, 3, Author              
Mueller, Klaus-Robert3, 4, 5, Author
Nolte, Guido6, Author
Maess, Burkhard7, Author              
Villringer, Arno1, Author              
Nikulin, Vadim V.1, 8, 9, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2International Max Planck School NeuroCom, ou_persistent22              
3Machine Learning Group, Technical University of Berlin, Berlin, Germany, ou_persistent22              
4Max Planck Institute for Informatics, Saarbruecken, Germany, ou_persistent22              
5Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-gu, Seul, Republic of Korea, ou_persistent22              
6Deparment of NeuroPhysiology, University Medical Center Hamburg-Eppendorf, Hambrg, Germany, ou_persistent22              
7Methods and Development Unit - MEG and Cortical Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650              
8Center for Cognitive and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia, ou_persistent22              
9Neurophysics Group, Department of Neurology, Charite-Universitaetsmedizin Berlin, Berlin, Germany, ou_persistent22              

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Free keywords: Nonlinear interaction decomposition, NID, Cross-frequencycoupling, MEG, EEG, nonlinear neuronal interactions, Independentcomponent analysis, ICA
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Language(s): eng - English
 Dates: 2019-06-23
 Publication Status: Published online
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 Rev. Type: No review
 Identifiers: DOI: 10.1101/680397
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Title: bioRxiv
Source Genre: Journal
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Publ. Info: Cold Spring Harbor Laboratory
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