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
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.836270
