Title :
Clustering of dependent components: a new paradigm for fMRI signal detection
Author :
Meyer-Bäse, Anke ; Theis, Fabian ; Lange, Oliver ; Wismüller, Axel
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL, USA
Keywords :
approximation theory; biomedical MRI; data analysis; independent component analysis; medical signal detection; FastICA; ROC; approximation theory; associated time courses; dependent component clustering; exploratory data analysis methods; exploratory data driven methods; fMRI signal detection; functional magnetic resonance imaging; hypothesis generating procedures; hypothesis led statistical inferential methods; independent component analysis; task related activation maps; topographic ICA algorithm; tree dependent ICA algorithm; unsupervised clustering; Clustering algorithms; Data analysis; Electronic mail; Image analysis; Independent component analysis; Lattices; Magnetic analysis; Pattern analysis; Signal analysis; Signal detection;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1380910
