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Brain Informatics
September/October 2011 (vol. 26 no. 5)
pp. 16-21
Ning Zhong, Maebashi Institute of Technology and WICI/BJUT
Jeffrey M. Bradshaw, Florida Institute for Human and Machine Cognition
Jiming Liu, Hong Kong Baptist University and WICI/BJUT
John G. Taylor, King's College London

Brain informatics (BI) is an emerging interdisciplinary and multidisciplinary research field that focuses on studying the mechanisms underlying the human information processing system. BI investigates the essential functions of the brain, ranging from perception to thinking, and encompassing such areas as multiperception, attention, emotion, memory, language, computation, heuristic search, reasoning, planning, decision making, problem solving, learning, discovery, and creativity. This special issue presents some of the best works being developed worldwide that deal with the new challenges of BI from an intelligent systems perspective.

1. N. Zhong et al., eds., Web Intelligence Meets Brain Informatics, State-of-the-Art Survey, LNCS 4845, Springer, 2007.
2. N. Zhong et al., eds., Brain Informatics, LNAI 5819, Springer, 2009.
3. Y.Y. Yao et al., eds., Brain Informatics, LNAI 6334, Springer, 2010.
4. B. Hu et al., eds., Brain Informatics, LNAI 6889, Springer, 2011.
5. N. Zhong and J. Chen, "Constructing a New-Style Conceptual Model of Brain Data for Systematic Brain Informatics," to be published in IEEE Trans. Knowledge and Data Engineering, 2011; doi:10.1109/TKDE.2011.139.
6. J. Chen, N. Zhong, and P.P. Liang, "Data-Brain Driven Systematic Human Brain Data Analysis: A Case Study in Numerical Inductive Reasoning Centric Investigation," to be published in Cognitive Systems Research, Elsevier, 2010; doi:10.1016/j.cogsys.2010.12.014.
7. N. Zhong and S. Motomura, "Agent-Enriched Data Mining: A Case Study in Brain Informatics," IEEE Intelligent Systems, vol. 24, no. 3, 2009, pp. 38–45.
8. G. Jin et al., "fMRI Study of Problem Solving in Posterior Cingulate and Adjacent Precuneus Cortex in Patients with Amnestic Mild Cognitive Impairment," to be published in Radiology.
9. X. Jia et al., "Common and Dissociable Neural Correlates Associated with Component Processes of Inductive Reasoning," NeuroImage, vol. 56, 2011, pp. 2292–2299.
10. N. Zhong et al., "Neural Substrates of Data-Driven Scientific Discovery: An fMRI Study During Performance of Number Series Completion Task," Science China: Life Sciences, vol. 54, no. 5, 2011, pp. 466–473.
11. N. Zhong, J. Liu, and Y.Y. Yao, "In Search of the Wisdom Web," Computer, vol. 35, no. 11, 2002, pp. 27–31.
12. N. Zhong, J. Liu, and Y.Y. Yao, "Envisioning Intelligent Information Technologies through the Prism of Web Intelligence," Comm. ACM, vol. 50, no. 3, 2007, pp. 89–94.
13. N. Zhong et al., "Research Challenges and Perspectives on Wisdom Web of Things (W2T)," to be published in J. Supercomputing, 2010; doi:10.1007/s11227-010-0518-8.
14. J. Ma et al., "Cyber-Individual Meets Brain Informatics," IEEE Intelligent Systems, vol. 26, no. 5, 2011, pp. 30–37.

Index Terms:
Intelligent systems, brain informatics, cognitive simulation, intelligent tutoring systems, pattern recognition, human brain imaging, cyber-individual
Citation:
Ning Zhong, Jeffrey M. Bradshaw, Jiming Liu, John G. Taylor, "Brain Informatics," IEEE Intelligent Systems, vol. 26, no. 5, pp. 16-21, Sept.-Oct. 2011, doi:10.1109/MIS.2011.83
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