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  Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph

Gao, Z.-K., Guo, W., Cai, Q., Ma, C., Zhang, Y.-B., Kurths, J. (2019): Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph. - Chaos, 29, 7, Art. 073119.
https://doi.org/10.1063/1.5108606

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_23484 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_23484_2
Genre: Journal Article

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 Creators:
Gao, Z.-K.1, Author
Guo, W.1, Author
Cai, Q.1, Author
Ma, C..1, Author
Zhang, Y.-B.1, Author
Kurths, Jürgen2, Author              
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1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Dates: 2019
 Publication Status: Finally published
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 Rev. Type: -
 Identifiers: DOI: 10.1063/1.5108606
PIKDOMAIN: RD4 - Complexity Science
eDoc: 8695
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: Chaos
Source Genre: Journal
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Pages: - Volume / Issue: 29 (7, Art. 073119) Sequence Number: - Start / End Page: - Identifier: -