Brain Informatics

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.