Brain Informatics

Ning Zhong is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Systems and Information Engineering, Graduate School, Maebashi Institute of Technology, Japan. He is also CEO of Web Intelligence Laboratory, Inc., a new type of venture intelligent IT business company. Before moving to Maebashi Institute of Technology, he was an associate professor in Department of Computer Science and Systems Engineering, Yamaguchi University, Japan. He is also a guest professor of Beijing University of Technology since 1998. He is the co-founder and co-chair of Web Intelligence Consortium (WIC), vice chair of the executive committee of the IEEE Computer Society Technical Committee on Computational Intelligence (TCCI), the advisory board of ACM SIGART, steering committee of IEEE International Conferences on Data Mining (ICDM), the advisory board of International Rough Set Society, steering committee of Pacific-Asia Conferences on Knowledge Discovery and Data Mining (PAKDD), coordinator and member of advisory board of a Special Interest Group on Granular Computing in Berkeley Initiative in Soft Computing (BISC/SIG-GrC).Dr. Jiming Liu is the Head of Computer Science Department at Hong Kong Baptist University (HKBU). He leads the AAMAS/AOC Research Group (i.e., Autonomous Agents and Multi-Agent Systems / Autonomy-Oriented Computing) at HKBU. He holds a B.Sc. degree in Physics from East China Normal University in Shanghai, an M.A. degree in Educational Technology from Concordia University in Montreal, and an M.Eng. and a Ph.D. degrees both in Electrical Engineering from McGill University in Montreal. In Feb.-July 1999, Dr. Liu was an invited Visiting Scholar in Computer Science Department, Stanford University, where he was associated with the AI & Robotics Laboratory and taught advanced graduate classes on topics related to Robot Learning, Neural Robots, and Evolutionary Robotics. He is Guest Professor at University of Science and Technology of China, East China Normal University (Software Engineering Institute), and Beijing University of Technology, as well as Adjunct Fellow at E-Business Technology Institute (ETI - a joint partnership institute between IBM and University of Hong Kong). Dr. Liu is the co-founder of Web Intelligence Consortium (WIC), an international organization dedicated to promoting world-wide scientific research and industrial development in the era of Web and agent Intelligence. He has founded andserved, or is serving, as Program, Conference, Workshop, and General Chairs for several international conferences and workshops, including The IEEE/WIC International Conference on Web Intelligence (WI) series and The IEEE/WIC International Conference on Intelligent Agent Technology (IAT) series, and is presently serving as the Senior Program Committee Member, Program Committee Member, and Steering/Planning Committee Member for many major international conferences.

This volume contains the papers selected for presentation at The 2010 Int- national Conference on Brain Informatics (BI 2010) held at York University, Toronto, Canada, during August 28 30, 2010. It was organized by the Web - telligenceConsortium(WIC),theIEEEComputationalIntelligenceSocietyTask Force on Brain Informatics (IEEE-CIS TF-BI), and York University. The c- ference washeld jointly with the 2010InternationalConference on Active Media Technology (AMT 2010). Brain informatics (BI) hasemergedasaninterdisciplinaryresearch?eld that focuses on studying the mechanisms underlying the human information proce- ing system (HIPS). It investigates the essential functions of the brain, ranging from perception to thinking, and encompassing such areas as multi-perception, attention, memory, language, computation, heuristic search, reasoning, pl- ning, decision-making, problem-solving, learning, discovery, and creativity. The goal of BI is to develop and demonstrate a systematic approach to achieving an integrated understanding of both macroscopic and microscopic-level working principles of the brain, by means of experimental, computational, and cognitive neuroscience studies, as well as utilizing advanced Web intelligence (WI)-centric information technologies. BI represents a potentially revolutionary shift in the way that research is undertaken. It attempts to capture new forms of colla- rative and interdisciplinary work. In this vision, new kinds of BI methods and global research communities will emerge, through infrastructure on the wisdom Web and knowledge grids that enable high-speed and distributed, large-scale analysis and computations, and radically new ways of sharing data/knowledge. TheBrainInformaticsConferencesstartedwiththeFirstWICIInternational Workshop on Web Intelligence meets Brain Informatics (WImBI 2006), held at Beijing,China,December15 16,2006.

Keynote Talks.- Fractionating the Rational Brain.- Cognitive Informatics and Denotational Mathematical Means for Brain Informatics.- Cognitive Computing.- An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian Learning.- Modelling the Emergence of Group Decisions Based on Mirroring and Somatic Marking.- Rank-Score Characteristics (RSC) Function and Cognitive Diversity.- Cognitive Effort for Multi-agent Systems.- Behavioural Abstraction of Agent Models Addressing Mutual Interaction of Cognitive and Affective Processes.- Data Brain and Analysis.- The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment.- Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos.- Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids.- Feature Rating by Random Subspaces for Functional Brain Mapping.- Recurrence Plots for Identifying Memory Components in Single-Trial EEGs.- Comparing EEG/ERP-Like and fMRI-Like Techniques for Reading Machine Thoughts.- Improving Individual Identification in Security Check with an EEG Based Biometric Solution.- Neuronal Modeling and Brain Modeling.- Segmentation of 3D Brain Structures Using the Bayesian Generalized Fast Marching Method.- Domain-Specific Modeling as a Pragmatic Approach to Neuronal Model Descriptions.- Guessing What's on Your Mind: Using the N400 in Brain Computer Interfaces.- A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity.- Perception and Information Processing.- How Does Repetition of Signals Increase Precision of Numerical Judgment?.- Sparse Regression Models of Pain Perception.- A Study of Mozart Effect on Arousal, Mood, andAttentional Blink.- Learning.- Attentional Disengage from Test-Related Pictures in Test-Anxious Students: Evidence from Event-Related Potentials.- Concept Learning in Text Comprehension.- A Qualitative Approach of Learning in Parkinson's Disease.- Cognition-Inspired Applications.- Modelling Caregiving Interactions during Stress.- Computational Modeling and Analysis of Therapeutical Interventions for Depression.- A Time Series Based Method for Analyzing and Predicting Personalized Medical Data.- Language Analytics for Assessing Brain Health: Cognitive Impairment, Depression and Pre-symptomatic Alzheimer's Disease.- The Effect of Sequence Complexity on the Construction of Protein-Protein Interaction Networks.- Data Fusion and Feature Selection for Alzheimer's Diagnosis.- A Cognitive Architecture Based on Neuroscience for the Control of Virtual 3D Human Creatures.- Towards Inexpensive BCI Control for Wheelchair Navigation in the Enabled Environment - A Hardware Survey.- Expression Recognition Methods Based on Feature Fusion.- Investigation on Human Characteristics of Japanese Katakana Recognition by Active Touch.- WICI Perspectives on Brain Informatics.- Towards Systematic Human Brain Data Management Using a Data-Brain Based GLS-BI System.- The Role of the Parahippocampal Cortex in Memory Encoding and Retrieval: An fMRI Study.- Brain Activation and Deactivation in Human Inductive Reasoning: An fMRI Study.- Clustering of fMRI Data Using Affinity Propagation.- Interaction between Visual Attention and Goal Control for Speeding Up Human Heuristic Search.- The Role of Posterior Parietal Cortex in Problem Representation.- Basic Level Advantage and Its Switching during Information Retrieval: An fMRI Study.