By Topic

Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ichihashi, H. ; Dept. of Ind. Eng., Osaka Prefecture Univ., Japan ; Honda, K. ; Araki, S.

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.

Published in:

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on  (Volume:1 )

Date of Conference:

25-29 July 2004