Paper Info
Title
Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics
Abstract
In the fMRI study, the functional responses of the brain differ from region to region, and are little more complicated than the simple boxcar waveform or more sophisticated but single hemodynamics response function. Fuzzy canonical correlation analysis (FCCA) is developed, which can detect waveform of each voxel and minimize the effect of false activity such as inner speech during control epochs. This makes it possible to design an elastic experimental and control block. A brain mapping in recalling long term memories consolidated by mnemonics called the method of loci was carried out using fMRI experiments. The fMRI signals were analyzed using SPM99 and FCCA together with fuzzy c-means (FCM) clustering. The clustering results reveal the functional specialization of Broca's area and visual area.
Year
DOI
Venue
2004
10.1109/FUZZY.2004.1375708
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference
Keywords
Field
DocType
biomedical MRI,brain,correlation methods,pattern clustering,brain mapping,functional magnetic resonance imaging,fuzzy c-means clustering,fuzzy canonical correlation,long term memory,mnemonics
Brain mapping,Voxel,Computer science,Canonical correlation,Artificial intelligence,Fuzzy control system,Cluster analysis,Method of loci,Pattern recognition,Functional magnetic resonance imaging,Fuzzy logic,Algorithm,Machine learning
Conference
Volume
ISSN
ISBN
1
1098-7584
0-7803-8353-2
Citations 
PageRank 
References 
1
0.41
1
Authors
3
Name
Order
Citations
PageRank
Hidetomo Ichihashi137072.85
Katsuhiro Honda228963.11
Shoichi Araki3435.17