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Brain Informatics and Health

International Conference, BIH 2016, Omaha, NE, USA, October 13-16, 2016 Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Giorgio A. Ascoli

    1. George Mason University, Fairfax, USA

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  2. Michael Hawrylycz

    1. Department of Modeling, Analysis and Theory, Allen Institute for Brain Science, Seattle, USA

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  3. Hesham Ali

    1. University of Nebraska Omaha, Omaha, USA

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  4. Deepak Khazanchi

    1. Information Science and Technology, University of Nebraska Omaha, Omaha, USA

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  5. Yong Shi

    1. College of Information Sciences and Technology, University of Nebraska Omaha, Omaha, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9919)

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

Included in the following conference series:

Conference proceedings info: BIH 2016.

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Table of contents (37 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Robust Neuron Counting Based on Fusion of Shape Map and Multi-cue Learning

      • Alexander Ekstrom, Randall W. Suvanto, Tao Yang, Bing Ye, Jie Zhou
      Pages 3-13

    3. Identification of Relevant Inter-channel EEG Connectivity Patterns: A Kernel-Based Supervised Approach

      • Juana Valeria Hurtado-Rincón, Juan David Martínez-Vargas, Sebastian Rojas-Jaramillo, Eduardo Giraldo, German Castellanos-Dominguez
      Pages 14-23

    4. Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding

      • Martin Dimkovski, Aijun An
      Pages 24-33

    5. An Automatic Neuron Tracing Method Based on Mean Shift and Minimum Spanning Tree

      • Zhijiang Wan, Yishan He, Ming Hao, Jian Yang, Ning Zhong
      Pages 34-41

    6. Graph Theoretic Compressive Sensing Approach for Classification of Global Neurophysiological States from Electroencephalography (EEG) Signals

      • Mohammad Samie Tootooni, Miaolin Fan, Rajesh Sharma Sivasubramony, Chun-An Chou, Vladimir Miskovic, Prahalada K. Rao
      Pages 42-51

    7. Fast Marching Spanning Tree: An Automatic Neuron Reconstruction Method

      • Ming Hao, Jian Yang, Xiaoyang Liu, Zhijiang Wan, Ning Zhong
      Pages 52-60

    8. On Simple Models of Associative Memory: Network Density Is Not Required for Provably Complex Behavior

      • Predrag T. ToÅ¡ić
      Pages 61-71

  3. Investigations of Human Information Processing Systems

    1. Front Matter

      Pages 73-73
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    2. Human Emotion Variation Analysis Based on EEG Signal and POMS Scale

      • Youjun Li, Haiyan Zhou, Jianhui Chen, Jiajin Huang, Meng Chen, Yan Liu et al.
      Pages 75-84

    3. Visual Information Processing Mechanism Revealed by fMRI Data

      • Jinpeng Li, Zhaoxiang Zhang, Huiguang He
      Pages 85-93

    4. Research About Alpha EEG Asymmetry and Self-consciousness in Depression

      • Xiaomeng Ma, Minghui Zhang, Jialiang Guo, Haiyan Zhou, Jie Yang, Lei Feng et al.
      Pages 94-103

    5. The Situation Model in Text Reading: Evidence from an Eye Movement Study

      • Xiaofeng Lu, Mi Li, Shengfu Lu, Jiying Xu, Jia Xue
      Pages 104-113

    6. Alterations in Emotional and Salience Responses to Positive Stimuli in Major Depressive Disorder

      • Yang Yang, Lei Feng, Kazuyuki Imamura, Xiaojing Yang, Huaizhou Li, Gang Wang et al.
      Pages 114-123

    7. Pattern Classification and Analysis of Memory Processing in Depression Using EEG Signals

      • Kin Ming Puk, Kellen C. Gandy, Shouyi Wang, Heekyeong Park
      Pages 124-137

    8. A Comprehensive Feature and Data Mining Study on Musician Memory Processing Using EEG Signals

      • Kin Ming Kam, James Schaeffer, Shouyi Wang, Heekyeong Park
      Pages 138-148

    9. Thought Chart: Tracking Dynamic EEG Brain Connectivity with Unsupervised Manifold Learning

      • Mengqi Xing, Olusola Ajilore, Ouri E. Wolfson, Christopher Abbott, Annmarie MacNamara, Reza Tadayonnejad et al.
      Pages 149-157

  4. Brain Big Data Analytics, Curation and Management

    1. Front Matter

      Pages 159-159
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    2. User Interests Analysis and Its Application on the Linked Brain Data Platform

      • Yi Zeng, Dongsheng Wang, Hongyin Zhu
      Pages 161-172
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Keywords

About this book

This book constitutes the refereed proceedings of the International Conference on Brain and Health Informatics, BHI 2016, held in Omaha, USA, in October 2016.

The 37 revised full papers, including two workshop papers from BAI 2016, presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; new methodologies for brain and mental health; brain-inspired intelligence and computing; brain and artificial intelligence.

Editors and Affiliations

  • George Mason University, Fairfax, USA

    Giorgio A. Ascoli

  • Department of Modeling, Analysis and Theory, Allen Institute for Brain Science, Seattle, USA

    Michael Hawrylycz

  • University of Nebraska Omaha, Omaha, USA

    Hesham Ali

  • Information Science and Technology, University of Nebraska Omaha, Omaha, USA

    Deepak Khazanchi

  • College of Information Sciences and Technology, University of Nebraska Omaha, Omaha, USA

    Yong Shi

Bibliographic Information

  • Book Title: Brain Informatics and Health

  • Book Subtitle: International Conference, BIH 2016, Omaha, NE, USA, October 13-16, 2016 Proceedings

  • Editors: Giorgio A. Ascoli, Michael Hawrylycz, Hesham Ali, Deepak Khazanchi, Yong Shi

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-47103-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2016

  • Softcover ISBN: 978-3-319-47102-0Published: 23 September 2016

  • eBook ISBN: 978-3-319-47103-7Published: 22 September 2016

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 388

  • Number of Illustrations: 111 b/w illustrations

  • Topics: Artificial Intelligence, Health Informatics, Information Systems and Communication Service

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