A1 Journal article (refereed)
Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition (2015)

Kuang, L.-D., Lin, Q.-H., Gong, X.-F., Cong, F., Sui, J., & Calhoun, V. D. (2015). Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition. Journal of Neuroscience Methods, 256, 127-140. https://doi.org/10.1016/j.jneumeth.2015.08.023

JYU authors or editors

Publication details

All authors or editors: Kuang, Li-Dan; Lin, Qiu-Hua; Gong, Xiao-Feng; Cong, Fengyu; Sui, Jing; Calhoun, Vince D.

Journal or series: Journal of Neuroscience Methods

ISSN: 0165-0270

eISSN: 1872-678X

Publication year: 2015

Volume: 256

Issue number: 0

Pages range: 127–140

Publisher: Elsevier BV

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1016/j.jneumeth.2015.08.023

Publication open access: Not open

Publication channel open access: 

Additional information: Lehdellä vain volyyminumerointi.

Free keywords: Canonical polyadic decomposition (CPD); Independent component analysis (ICA); Inter-subject variability; Multi-subject fMRI data; Shift-invariant CP (SCP); Tensor PICA

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2015

JUFO rating: 1