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Brain Informatics

International Conference, BI 2010, Toronto, Canada, August 28-30, 2010, Proceedings

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Yiyu Yao

    1. Department of Computer Science, University of Regina, Regina, Canada

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  2. Ron Sun

    1. Rensselaer Polytechnic Institute, Troy, USA

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  3. Tomaso Poggio

    1. McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, USA

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  4. Jiming Liu

    1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

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  5. Ning Zhong

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

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  6. Jimmy Huang

    1. York University, Toronto, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6334)

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

Included in the following conference series:

Conference proceedings info: BI 2010.

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Table of contents (41 papers)

  1. Front Matter

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  3. Cognitive Computing

    1. An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian Learning

      • Tibor Bosse, Mark Hoogendoorn, Zulfiqar A. Memon, Jan Treur, Muhammad Umair
      Pages 14-28

    2. Modelling the Emergence of Group Decisions Based on Mirroring and Somatic Marking

      • Mark Hoogendoorn, Jan Treur, C. Natalie van der Wal, Arlette van Wissen
      Pages 29-41

    3. Rank-Score Characteristics (RSC) Function and Cognitive Diversity

      • D. Frank Hsu, Bruce S. Kristal, Christina Schweikert
      Pages 42-54

    4. Cognitive Effort for Multi-agent Systems

      • Luca Longo, Stephen Barrett
      Pages 55-66

    5. Behavioural Abstraction of Agent Models Addressing Mutual Interaction of Cognitive and Affective Processes

      • Alexei Sharpanskykh, Jan Treur
      Pages 67-77

  4. Data Brain and Analysis

    1. The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment

      • Gloria Díaz, Gonzalo Pajares, Eduardo Romero, Juan Alvarez-Linera, Eva López, Juan Antonio Hernández-Tamames et al.
      Pages 78-88

    2. Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos

      • Sander Koelstra, Ashkan Yazdani, Mohammad Soleymani, Christian Mühl, Jong-Seok Lee, Anton Nijholt et al.
      Pages 89-100

    3. Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids

      • Yasuo Matsuyama, Keita Noguchi, Takashi Hatakeyama, Nimiko Ochiai, Tatsuro Hori
      Pages 101-111

    4. Feature Rating by Random Subspaces for Functional Brain Mapping

      • Diego Sona, Paolo Avesani
      Pages 112-123

    5. Recurrence Plots for Identifying Memory Components in Single-Trial EEGs

      • Nasibeh Talebi, Ali Motie Nasrabadi
      Pages 124-132

    6. Comparing EEG/ERP-Like and fMRI-Like Techniques for Reading Machine Thoughts

      • Fabio Massimo Zanzotto, Danilo Croce
      Pages 133-144

    7. Improving Individual Identification in Security Check with an EEG Based Biometric Solution

      • Qinglin Zhao, Hong Peng, Bin Hu, Quanying Liu, Li Liu, YanBing Qi et al.
      Pages 145-155

  5. Neuronal Modeling and Brain Modeling

    1. Segmentation of 3D Brain Structures Using the Bayesian Generalized Fast Marching Method

      • Mohamed Baghdadi, Nacéra Benamrane, Lakhdar Sais
      Pages 156-167

    2. Domain-Specific Modeling as a Pragmatic Approach to Neuronal Model Descriptions

      • Ralf Ansorg, Lars Schwabe
      Pages 168-179

    3. Guessing What’s on Your Mind: Using the N400 in Brain Computer Interfaces

      • Marijn van Vliet, Christian Mühl, Boris Reuderink, Mannes Poel
      Pages 180-191

    4. A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity

      • Li Xue, Yun Xiong, Yangyong Zhu
      Pages 192-199

  6. Perception and Information Processing

    1. How Does Repetition of Signals Increase Precision of Numerical Judgment?

      • Eike B. Kroll, Jörg Rieger, Bodo Vogt
      Pages 200-211
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  1. Brain Informatics

Keywords

Editors and Affiliations

  • Department of Computer Science, University of Regina, Regina, Canada

    Yiyu Yao

  • Rensselaer Polytechnic Institute, Troy, USA

    Ron Sun

  • McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, USA

    Tomaso Poggio

  • Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

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

    Ning Zhong

  • York University, Toronto, Canada

    Jimmy Huang

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