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Theis, F.J.* ; Gruber, P.* ; Keck, I.R.* ; Lang, E.W.*

A robust model for spatiotemporal dependencies.

Neurocomp. 71, 2209-2216 (2008)
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Open Access Green as soon as Postprint is submitted to ZB.
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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Publication type Article: Journal article
Document type Scientific Article
ISSN (print) / ISBN 0925-2312
e-ISSN 1872-8286
Journal Neurocomputing
Quellenangaben Volume: 71, Issue: , Pages: 2209-2216 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place Amsterdam [u.a.]
Reviewing status Peer reviewed