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Brain Informatics

International Conference, BI 2009, Beijing, China, October 22-24, Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Ning Zhong

    1. Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, Japan

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  2. Kuncheng Li

    1. Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, People’s Republic of China

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  3. Shengfu Lu

    1. The International WIC Institute, Beijing University of Technology, China

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  4. Lin Chen

    1. Institute of Biophysics, Chinese Academy of Sciences, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5819)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: BI 2009.

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Table of contents (32 papers)

  1. Front Matter

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  3. Special Session on Information Processing Meets Brain Sciences

    1. Data Compression and Data Selection in Human Vision

      • Zhaoping Li
      Pages 7-7

    2. Do Brain Networks Correlate with Intelligence?

      • Tianzi Jiang
      Pages 8-8

    3. How Were Intelligence and Language Created in Human Brain

      • Setsuo Ohsuga
      Pages 9-10

    4. Affective Learning with an EEG Approach

      • Bin Hu
      Pages 11-11

    5. Some Web Intelligence Oriented Brain Informatics Studies

      • Yulin Qin
      Pages 12-12

  4. Thinking and Perception-centric Investigations of Human Information Processing Systems

    1. Modelling the Reciprocal Interaction between Believing and Feeling from a Neurological Perspective

      • Zulfiqar A. Memon, Jan Treur
      Pages 13-24

    2. Information Hypothesis: On Human Information Capability Study

      • Jiří Krajíček
      Pages 25-35

    3. Correlated Size Variations Measured in Human Visual Cortex V1/V2/V3 with Functional MRI

      • Tianyi Yan, Fengzhe Jin, Jinglong Wu
      Pages 36-44

    4. Effects of Attention on Dynamic Emotional Expressions Processing

      • Liang Zhang, Brigitte Roeder, Kan Zhang
      Pages 45-52

    5. Simulating Human Heuristic Problem Solving: A Study by Combining ACT-R and fMRI Brain Image

      • Rifeng Wang, Jie Xiang, Haiyan Zhou, Yulin Qin, Ning Zhong
      Pages 53-62

    6. EEG/ERP Meets ACT-R: A Case Study for Investigating Human Computation Mechanism

      • Shinichi Motomura, Yuya Ojima, Ning Zhong
      Pages 63-73

    7. Evaluation of Probabilities and Brain Activity - An EEG-Study

      • Ralf Morgenstern, Marcus Heldmann, Thomas Münte, Bodo Vogt
      Pages 74-83

    8. Human Factors Affecting Decision in Virtual Operator Reasoning

      • Lydie Edward, Domitile Lourdeaux, Jean-Paul Barthès
      Pages 84-95
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  1. Brain Informatics

Keywords

About this book

This volume contains the papers selected for presentation at The 2009 Inter- tional Conference on Brain Informatics (BI 2009) held at Beijing University of Technology, China, on October 22–24, 2009. It was organized by the Web Int- ligence Consortium (WIC) and IEEE Computational Intelligence Society Task Force on Brain Informatics (IEEE TF-BI). The conference was held jointly with The 2009 International Conference on Active Media Technology (AMT 2009). Brain informatics (BI) has emergedas an interdisciplinaryresearch?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,heuristicsearch,reasoning,planning, 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 c- laborative and interdisciplinary work. Following this vision, new kinds of BI methods and global research communities will emerge, through infrastructure on the wisdom Web and knowledge grids that enables high speed and d- tributed, large-scale analysis and computations, and radically new ways of sh- ing data/knowledge.

Editors and Affiliations

  • Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, Japan

    Ning Zhong

  • Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, People’s Republic of China

    Kuncheng Li

  • The International WIC Institute, Beijing University of Technology, China

    Shengfu Lu

  • Institute of Biophysics, Chinese Academy of Sciences, Beijing, China

    Lin Chen

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