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Flexible hemodynamic coupling in EEG-FMRI: circumventing the GLM by strucures coupled matrix-tensor factorization
Publication:
Flexible hemodynamic coupling in EEG-FMRI: circumventing the GLM by strucures coupled matrix-tensor factorization
Date
2017
Meeting abstract
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41731.pdf
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Basic data
APA
Chicago
Harvard
IEEE
Basic data
APA
Chicago
Harvard
IEEE
Author(s)
Van Eyndhoven, Simon
;
Hunyadi, Borbala
;
De Lathauwer, Lieven
;
Van Huffel, Sabine
Journal
Abstract
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1
since deposited on 2021-10-24
Acq. date: 2025-10-27
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1893
since deposited on 2021-10-24
Acq. date: 2025-10-27
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Downloads
1
since deposited on 2021-10-24
Acq. date: 2025-10-27
Views
1893
since deposited on 2021-10-24
Acq. date: 2025-10-27
Citations