(Q30583558)

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A critique of Tensor Probabilistic Independent Component Analysis: implications and recommendations for multi-subject fMRI data analysis.

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23274733

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21 February 2020

title

A critique of Tensor Probabilistic Independent Component Analysis: implications and recommendations for multi-subject fMRI data analysis (English)

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23274733

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23274733%20AND%20SRC:MED&resulttype=core&format=json

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21 February 2020

main subject

data analysis

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independent component analysis

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functional magnetic resonance imaging

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1

1 reference

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Europe PubMed Central

PubMed publication ID

23274733

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23274733%20AND%20SRC:MED&resulttype=core&format=json

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21 February 2020

author name string

Sungjin Hong

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2

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23274733

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21 February 2020

publication date

27 December 2012

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23274733

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21 February 2020

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Journal of Neuroscience Methods

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23274733

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21 February 2020

volume

213

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23274733

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21 February 2020

issue

2

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23274733

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21 February 2020

page(s)

263-273

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23274733

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21 February 2020

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DOI

10.1016/J.JNEUMETH.2012.12.009

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Europe PubMed Central

PubMed publication ID

23274733

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23274733%20AND%20SRC:MED&resulttype=core&format=json

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21 February 2020

PubMed publication ID

23274733

1 reference

stated in

Europe PubMed Central

PubMed publication ID

23274733

reference URL

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23274733%20AND%20SRC:MED&resulttype=core&format=json

(Q30583558)

A critique of Tensor Probabilistic Independent Component Analysis: implications and recommendations for multi-subject fMRI data analysis.

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