Brain Informatics

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

  • Yi Zeng
  • Yong He
  • Jeanette Hellgren Kotaleski
  • Maryann Martone
  • Bo Xu
  • Hanchuan Peng
  • Qingming Luo
Conference proceedings BI 2017

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10654)

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Yuanbo Gao, Baobin Li, Ning Wang, Tingshao Zhu
      Pages 3-13
    3. Aunnoy K Mutasim, Rayhan Sardar Tipu, M. Raihanul Bashar, M. Ashraful Amin
      Pages 39-48
    4. Gong Chen, Yan Liu, Jiannong Cao, Shenghua Zhong, Yang Liu, Yuexian Hou et al.
      Pages 49-58
    5. Feng Liu, Jing Qin, Shouyi Wang, Jay Rosenberger, Jianzhong Su
      Pages 59-71
    6. Cheng Tang, Di Wang, Ah-Hwee Tan, Chunyan Miao
      Pages 83-92
  3. Human Information Processing Systems

  4. Brain Big Data Analytics, Curation and Management

    1. Front Matter
      Pages 127-127
    2. Hui-Yen Yap, Yun-Huoy Choo, Wee-How Khoh
      Pages 129-138
    3. Xuexiao Shao, Bin Hu, Xiangwei Zheng
      Pages 139-148
    4. Qiang He, Zhijiang Wan, Haiyan Zhou, Jie Yang, Ning Zhong
      Pages 149-158
  5. Informatics Paradigms for Brain and Mental Health

    1. Front Matter
      Pages 169-169

About these proceedings

Introduction

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.

Keywords

Artificial Intelligence pattern recognition signal processing machine learning computer architecture Support Vector Machines (SVM) brain computer interface Human-Computer Interaction (HCI) face recognition user interfaces eeg signals classifiers emotion recognition data mining

Editors and affiliations

  • Yi Zeng
    • 1
  • Yong He
    • 2
  • Jeanette Hellgren Kotaleski
    • 3
  • Maryann Martone
    • 4
  • Bo Xu
    • 5
  • Hanchuan Peng
    • 6
  • Qingming Luo
    • 7
  1. 1.Chinese Academy of SciencesBeijingChina
  2. 2.Beijing Normal UniversityBeijingChina
  3. 3.KTH Royal Institute of Technology and Karolinska InstituteStockholmSweden
  4. 4.University of California, San DiegoSan DiegoUSA
  5. 5.Chinese Academy of SciencesBeijingChina
  6. 6.Allen Institute for Brain ScienceSeattleUSA
  7. 7.Wuhan National Lab OptoelectronicsHuazhong University of Science and TechnologyWuhanChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-70772-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-70771-6
  • Online ISBN 978-3-319-70772-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book