Peculiarity oriented fMRI brain data analysis for studying human multi-perception mechanism

Although many cognitive and brain scientists have already studied human information processing mechanism of auditory and visual, separately, the relevance between auditory and visual information processing needs to be investigated in depth. We investigate human multi-perception mechanism by combining various psychological experiments, physiological measurements, data cleaning, modeling, transformation and mining techniques for developing artificial systems which match human ability in specific aspects. In particular, we observe fMRI (functional magnetic resonance imaging) brain activations from the view point of peculiarity oriented mining and propose a way of peculiarity oriented mining for knowledge discovery in multiple human brain data. We present an interesting result on modeling, transforming, and mining multiple human brain data obtained from visual and auditory psychological experiments by using the fMRI. The proposed methodology attempts to change the perspective of cognitive scientists from a single type of experimental data analysis towards a holistic view.