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A robust model for spatiotemporal dependencies

Theis, Fabian J. and Gruber, Peter and Keck, Ingo R. and Lang, Elmar (2008) A robust model for spatiotemporal dependencies. Neurocomputing 71 (10-12), pp. 2209-2216.

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Abstract

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 ...

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Item Type:Article
Date:2008
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.1016/j.neucom.2007.06.012DOI
Classification:
NotationType
07.05.Kf; 87.61.−c; 05.40.−a; 05.45.TpPACS
Keywords:Blind source separation; Independent component analysis; Functional magnetic resonance imaging; Autodecorrelation
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:05 Oct 2010 06:36
Last Modified:05 Oct 2010 06:36
Item ID:16912
Owner Only: item control page
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