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Brain Informatics

International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Yi Zeng

    1. Chinese Academy of Sciences, Beijing, China

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  2. Yong He

    1. Beijing Normal University, Beijing, China

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  3. Jeanette Hellgren Kotaleski

    1. KTH Royal Institute of Technology and Karolinska Institute, Stockholm, Sweden

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  4. Maryann Martone

    1. University of California, San Diego, San Diego, USA

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  5. Bo Xu

    1. Chinese Academy of Sciences, Beijing, China

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  6. Hanchuan Peng

    1. Allen Institute for Brain Science, Seattle, USA

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  7. Qingming Luo

    1. Wuhan National Lab Optoelectronics, Huazhong University of Science and Technology, Wuhan, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10654)

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

Included in the following conference series:

Conference proceedings info: BI 2017.

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Table of contents (31 papers)

  1. Front Matter

    Pages I-XVI
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  2. Cognitive and Computational Foundations of Brain Science

    1. Front Matter

      Pages 1-1
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    2. Speech Emotion Recognition Using Local and Global Features

      • Yuanbo Gao, Baobin Li, Ning Wang, Tingshao Zhu
      Pages 3-13

    3. Advertisement and Expectation in Lifestyle Changes: A Computational Model

      • Seyed Amin Tabatabaei, Jan Treur
      Pages 14-25

    4. A Computational Cognitive Model of Self-monitoring and Decision Making for Desire Regulation

      • Altaf Hussain Abro, Jan Treur
      Pages 26-38

    5. Video Category Classification Using Wireless EEG

      • Aunnoy K Mutasim, Rayhan Sardar Tipu, M. Raihanul Bashar, M. Ashraful Amin
      Pages 39-48

    6. Learning Music Emotions via Quantum Convolutional Neural Network

      • Gong Chen, Yan Liu, Jiannong Cao, Shenghua Zhong, Yang Liu, Yuexian Hou et al.
      Pages 49-58

    7. Supervised EEG Source Imaging with Graph Regularization in Transformed Domain

      • Feng Liu, Jing Qin, Shouyi Wang, Jay Rosenberger, Jianzhong Su
      Pages 59-71

    8. Insula Functional Parcellation from FMRI Data via Improved Artificial Bee-Colony Clustering

      • Xuewu Zhao, Junzhong Ji, Yao Yao
      Pages 72-82

    9. EEG-Based Emotion Recognition via Fast and Robust Feature Smoothing

      • Cheng Tang, Di Wang, Ah-Hwee Tan, Chunyan Miao
      Pages 83-92

  4. Brain Big Data Analytics, Curation and Management

    1. Front Matter

      Pages 127-127
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    2. Overview of Acquisition Protocol in EEG Based Recognition System

      • Hui-Yen Yap, Yun-Huoy Choo, Wee-How Khoh
      Pages 129-138

    3. A Study on Automatic Sleep Stage Classification Based on Clustering Algorithm

      • Xuexiao Shao, Bin Hu, Xiangwei Zheng
      Pages 139-148

    4. Speaker Verification Method Based on Two-Layer GMM-UBM Model in the Complex Environment

      • Qiang He, Zhijiang Wan, Haiyan Zhou, Jie Yang, Ning Zhong
      Pages 149-158

    5. Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation

      • Hongzhi Kuai, Hongxia Xu, Jianzhuo Yan
      Pages 159-168

  5. Informatics Paradigms for Brain and Mental Health

    1. Front Matter

      Pages 169-169
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Keywords

About this book

This book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2017, held in Beijing, China, in November 2017. The 31 revised full papers were carefully reviewed and selected from 64 submissions. BI addresses the computational, cognitive, physiological, biological, physical,ecological and social perspectives of brain informatics, as well as topics related to
mental health and well-being.

Editors and Affiliations

  • Chinese Academy of Sciences, Beijing, China

    Yi Zeng, Bo Xu

  • Beijing Normal University, Beijing, China

    Yong He

  • KTH Royal Institute of Technology and Karolinska Institute, Stockholm, Sweden

    Jeanette Hellgren Kotaleski

  • University of California, San Diego, San Diego, USA

    Maryann Martone

  • Allen Institute for Brain Science, Seattle, USA

    Hanchuan Peng

  • Wuhan National Lab Optoelectronics, Huazhong University of Science and Technology, Wuhan, China

    Qingming Luo

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