Stimulus Related Data Analysis by Structured Neural Networks
作者： Bernd Brückner
DOI: 10.1007/11893295_29
关键词:
摘要: In the analysis of biological data artificial neural networks are a useful alternative to conventional statistical methods. Because its advantage in analyzing time courses Multilevel Hypermap Architecture (MHA) is used for stimulus related data, exemplified by fMRI studies with auditory stimuli. Results from investigations MHA show an improvement discrimination comparison With interface well known BrainVoyager software and GUI MATLAB easy usability good visualization results possible. The extension introduced Kohonen. By means it possible analyze structured or hierarchical (data priorities, context, series, varying exactness), which difficult impossible do self-organizing maps so far.
springer.com
springerlink.com参考文章(19)
T. Kohonen, Self-organization and associative memory: 3rd edition Springer-Verlag New York, Inc.. ,(1989)
B Brückner, M. Franz, A. Richter, A MODIFIED HYPERMAP ARCHITECTURE FOR CLASSIFICATION OF BIOLOGICAL SIGNALS international conference on artificial neural networks. pp. 1167- 1170 ,(1992) , 10.1016/B978-0-444-89488-5.50072-5
Teuvo Kohonen, THE HYPERMAP ARCHITECTURE international conference on artificial neural networks. pp. 1357- 1360 ,(1991) , 10.1016/B978-0-444-89178-5.50088-9
Shun-ichi Amari, Andrzej Cichocki, Adaptive blind signal and image processing ,(2002)
B. Bruckner, T. Wesarg, C. Blumenstein, Improvements of the modified hypermap architecture for speech recognition international conference on networks. ,vol. 5, pp. 2891- 2895 ,(1995) , 10.1109/ICNN.1995.488194
Bernd Brückner, Thomas Wesarg, Modeling Speech Processing and Recognition in the Auditory System Using the Multilevel Hypermap Architecture Self-Organizing Neural Networks. pp. 145- 164 ,(2002) , 10.1007/978-3-7908-1810-9_7
Shun-ichi Amari, Andrzej Cichocki, Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications John Wiley & Sons, Inc.. ,(2002)
Frank Baumgart, Birgit Gaschler-Markefski, Marty G. Woldorff, Hans-Jochen Heinze, Henning Scheich, A movement-sensitive area in auditory cortex. Nature. ,vol. 400, pp. 724- 726 ,(1999) , 10.1038/23390
T. Wesarg, B. Brückner, C. Schauer, Modelling Speech Processing and Recognition in the Auditory System with a Three-Stage Architecture international conference on artificial neural networks. pp. 679- 684 ,(1996) , 10.1007/3-540-61510-5_115
B. Bruckner, B. Gaschler-Markefski, H. Hofmeister, H. Scheich, Detection of non-stationarities in functional MRI data sets using the multilevel hypermap architecture international joint conference on neural network. ,vol. 5, pp. 3690- 3693 ,(1999) , 10.1109/IJCNN.1999.836270