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Brain Informatics

12th International Conference, BI 2019, Haikou, China, December 13–15, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Peipeng Liang

    1. Capital Normal University, Beijing, China

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  2. Vinod Goel

    1. York University, Toronto, Canada

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    You can also search for this editor in PubMed   Google Scholar

  3. Chunlei Shan

    1. Shanghai University of Traditional Chinese Medicine, Shanghai, China

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11976)

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

Included in the following conference series:

Conference proceedings info: BI 2019.

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Table of contents (26 papers)

  1. Front Matter

    Pages i-xv
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  2. Cognitive and Computational Foundations of Brain Science

    1. Front Matter

      Pages 1-1
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    2. EEG Signal Indicator for Emotional Reactivity

      • Guodong Liang, Xiangmin Xu, Zicong Zheng, Xiaojie Xing, Jianxiong Guo
      Pages 3-12

    3. Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification

      • L. F. Velasquez-Martinez, D. Luna-Naranjo, D. Cárdenas-Peña, C. D. Acosta-Medina, G. A. Castaño, G. Castellanos-Dominguez
      Pages 13-20

    4. Subject-Oriented Dynamic Characterization of Motor Imagery Tasks Using Complexity Analysis

      • L. F. Velasquez-Martinez, F. Arteaga, G. Castellanos-Dominguez
      Pages 21-28

    5. Modeling Individual Tacit Coordination Abilities

      • Dor Mizrahi, Ilan Laufer, Inon Zuckerman
      Pages 29-38

    6. EEG-Based Driver Drowsiness Detection Using the Dynamic Time Dependency Method

      • Haolan Zhang, Qixin Zhao, Sanghyuk Lee, Margaret G. Dowens
      Pages 39-47

  3. Human Information Processing Systems

    1. Front Matter

      Pages 49-49
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    2. Route Adjustment of Functional Brain Network in Mental Arithmetic Using Task-Evoked FMRI

      • Xiaofei Zhang, Yang Yang, Ruohao Liu, Ning Zhong
      Pages 51-61

    3. Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRI

      • Xiang He, Xiaofei Zhang, Yang Yang, Ting Wu, Ning Zhong
      Pages 62-71

    4. The Neural Mechanism of Working Memory Training Improving Emotion Regulation

      • Xiaobo Wang, Dongni Pan, Xuebing Li
      Pages 72-81

    5. Dynamic Functional Connectivity in the Musical Brain

      • Dipankar Niranjan, Petri Toiviainen, Elvira Brattico, Vinoo Alluri
      Pages 82-91

  4. Brain Big Data Analytics, Curation and Management

    1. Front Matter

      Pages 93-93
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    2. Imaging EEG Extended Sources Based on Variation Sparsity with \(L_1\)-norm Residual

      • Furong Xu, Ke Liu, Xin Deng, Guoyin Wang
      Pages 95-104

    3. Image-Assisted Discrimination Method for Neurodevelopmental Disorders in Infants Based on Multi-feature Fusion and Ensemble Learning

      • Xiaohui Dai, Shigang Wang, Honghua Li, Haichun Yue, Jiayuan Min
      Pages 105-114

    4. Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective

      • Manan Binth Taj Noor, Nusrat Zerin Zenia, M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun
      Pages 115-125

    5. The Changes of Brain Networks Topology in Graph Theory of rt-fMRI Emotion Self-regulation Training

      • Lulu Hu, Qiang Yang, Hui Gao, Zhonglin Li, Haibing Bu, Bin Yan et al.
      Pages 126-135

    6. Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data

      • Hafsa Moontari Ali, M. Shamim Kaiser, Mufti Mahmud
      Pages 136-146

  5. Informatics Paradigms for Brain and Mental Health Research

    1. Front Matter

      Pages 147-147
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    2. Time Recognition of Chinese Electronic Medical Record of Depression Based on Conditional Random Field

      • Shaofu Lin, Yuanyuan Zhao, Zhisheng Huang
      Pages 149-158
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Other volumes

  1. Brain Informatics

Keywords

About this book

This book constitutes the refereed proceedings of the 12th International Conference on Brain Informatics, BI 2019, held in Haikou, China, in December 2019.

The 26 revised full papers were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; human information processing systems; brain big data analysis, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health.

Editors and Affiliations

  • Capital Normal University, Beijing, China

    Peipeng Liang

  • York University, Toronto, Canada

    Vinod Goel

  • Shanghai University of Traditional Chinese Medicine, Shanghai, China

    Chunlei Shan

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