Exploratory analysis and data modeling in functional neuroimaging
Exploratory analysis and data modeling in functional neuroimaging
Learning to Decode Cognitive States from Brain Images
Machine Learning
An Investigation of Human Problem Solving System: Computation as an Example
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Towards systematic human brain data management using a data-brain based GLS-BI system
BI'10 Proceedings of the 2010 international conference on Brain informatics
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In the paper, we present a multi-aspect data analysis approach for investigating human computation mechanism. Multi-aspect analysis in multiple human brain data sources is an important methodology in Brain Informatics, which emphasizes on a systematic way for investigating human information processing mechanisms, including measuring, collecting, modeling, transforming, managing, and mining multiple human brain data obtained from various cognitive experiments by using powerful equipments, such as fMRI and EEG. After giving an outline of Brain Informatics methodology, we describe how to design cognitive experiments of mental arithmetic task with multiple difficulty levels for obtaining multiple EEG and fMRI data sources, and how to analyze such data for investigating the spatiotemporal characteristics and flow of human computation processing. Such an investigation can be regarded as a case study using Brain Informatics methodology. Experimental results show the usefulness of our approach.