Multi-aspect data analysis in brain informatics

Abstract

In order to investigate human information processing mechanism systematically, various methods of brain data measurement and analysis are required. It has been observed that multiple brain data such as fMRI brain images and EEC brain waves extracted from human multi-perception mechanism involved in a particular task are peculiar ones with respect to a specific state or the related part of a stimulus. Based on this point of view, we propose a way of peculiarity oriented mining for multi-aspect analysis in multiple human brain data, without using conventional image processing to fMRI brain images and frequency analysis to brain waves. The proposed approach provides a new way in Brain Informatics for automatic analysis and understanding of human brain data to replace human-expert centric visualization. We attempt to change the perspective of cognitive scientists from a single type of experimental data analysis towards a holistic view. © Springer-Verlag Berlin Heidelberg 2005.