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A robust model for spatiotemporal dependencies.
Neurocomp. 71, 2209-2216 (2008)
Real-world data sets such as recordings from functional magnetic resonance imaging (fMRI) often possess both spatial and temporal structures. Here, we propose an algorithm including such spatiotemporal information into the analysis, and reduce the problem to the joint approximate diagonalization of a set of autocorrelation matrices. We demonstrate the feasibility of the algorithm by applying it to fMRI analysis, where previous approaches are outperformed considerably.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
ISSN (print) / ISBN
0925-2312
e-ISSN
1872-8286
Zeitschrift
Neurocomputing
Quellenangaben
Band: 71,
Seiten: 2209-2216
Verlag
Elsevier
Verlagsort
Amsterdam [u.a.]
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)