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IJON
2008

A robust model for spatiotemporal dependencies

13 years 3 months ago
A robust model for spatiotemporal dependencies
Real-world data sets such as recordings from functional magnetic resonance imaging often possess both spatial and temporal structure. 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 functional MRI analysis, where previous approaches are outperformed considerably. Key words: blind source separation, independent component analysis, functional magnetic resonance imaging, autodecorrelation
Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2008
Where IJON
Authors Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar Wolfgang Lang
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