FCM Classifier of Brain Activities by Using fMRI Data

Abstract

In preparing for the experiment, the subject learned the short english sentences by heart. The subject consolidated the memory by mnemonics and mental rehearsals in advance. In the event related fMRI experiment, when a visual stimulus of an image was projected on a liquid crystal screen, the recalling task by the subject followed. This experiment block was repeated and the MRI signals were measured. The fuzzy c-means (FCM) classifier is applied to the fMRI signals for classification of brain activities. The MRI signals constitutes massive high dimensional data. The classifier based on the matrices in terms of inner products can handle high dimensional data. The results show a possible application to brain communications.