Abstract
Aiming at the characteristics of human-thinking-centric studies, brain informatics (BI) emphasizes a systematic methodology, in which systematic brain data analysis is a key issue. In this paper, a multiagent system, namely, the global learning scheme for BI, is proposed to perform a data-brain driven process planning. Utilizing the obtained three types of mining workflows, a three-step analytical process can be carried out for multiaspect brain data analysis. The proposed work presents a practical approach toward the data-brain driven systematic brain data analysis. A scenario is provided to demonstrate the significance and usefulness of the proposed approach.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
