Brain Informatics

International Conference, BI 2010, Toronto, Canada, August 28-30, 2010, Proceedings
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Yiyu Yao
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6334, Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence

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, and Attentional 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.
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.

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