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Functional MRI analysis by a novel spatiotemporal ICA algorithm

Theis, Fabian J. and Gruber, Peter and Keck, I. R. and Lang, Elmar (2005) Functional MRI analysis by a novel spatiotemporal ICA algorithm. In: Duch, Włodzisław, (ed.) Artificial neural networks: Biological inspirations - ICANN 2005: 15th international conference, Warsaw, Poland, September 11-15, 2005; proceedings. Lecture notes in computer science, 3696. Springer, Berlin, pp. 677-682. ISBN 978-3-540-28752-0.

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Data sets acquired from functional magnetic resonance imaging (fMRI) contain both spatial and temporal structures. In order to blindly extract underlying activities, the common approach however only uses either spatial or temporal independence. More convincing results can be achieved by requiring the transformed data to be as independent as possible in both domains. First introduced by Stone, ...


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Item Type:Book Section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
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Subjects:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Deposited On:01 Oct 2010 07:55
Last Modified:01 Oct 2010 07:55
Item ID:16871
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