DocumentCode
1915903
Title
Detection of non-stationarities in functional MRI data sets using the multilevel hypermap architecture
Author
Brückner, Bernd ; Gaschler-Markefski, Birgit ; Hofmeister, Henning ; Scheich, Henning
Author_Institution
Leibniz Inst. for Neurobiol., Magdeburg, Germany
Volume
5
fYear
1999
fDate
1999
Firstpage
3690
Abstract
The multilevel hypermap architecture is an extension of the hypermap introduced by Kohonen. We use this type of neural networks for analyzing of data sets from functional magnetic resonance imaging. In contrast to the statistical methods this approach shows a higher selectivity in detecting non-stationary signals
Keywords
biomedical MRI; image recognition; self-organising feature maps; signal detection; MRI data sets; functional magnetic resonance imaging; multilevel hypermap architecture; neural networks; nonstationary signal detection; Acoustic signal detection; Data analysis; Electronic mail; Frequency; Humans; Image analysis; Magnetic analysis; Magnetic resonance imaging; Signal detection; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.836270
Filename
836270
Link To Document