A1 Journal article (refereed)
Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition (2018)


Wang, D., Zhu, Y., Ristaniemi, T., & Cong, F. (2018). Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition. Journal of Neuroscience Methods, 308, 240-247. https://doi.org/10.1016/j.jneumeth.2018.07.020


JYU authors or editors


Publication details

All authors or editors: Wang, Deqing; Zhu, Yongjie; Ristaniemi, Tapani; Cong, Fengyu

Journal or series: Journal of Neuroscience Methods

ISSN: 0165-0270

eISSN: 1872-678X

Publication year: 2018

Volume: 308

Issue number: 0

Pages range: 240-247

Publisher: Elsevier BV

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1016/j.jneumeth.2018.07.020

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/59343


Keywords: EEG; signal processing

Free keywords: nonnegative tensor decomposition; CANDECOMP/PARAFAC; event-related potential; multi-mode features; component number selection


Contributing organizations

Other organizations:


Ministry reporting: Yes

Reporting Year: 2018

JUFO rating: 1


Last updated on 2021-09-06 at 07:38