Advances in Brain Inspired Cognitive Systems

8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings

  • Cheng-Lin Liu
  • Amir Hussain
  • Bin Luo
  • Kay Chen Tan
  • Yi Zeng
  • Zhaoxiang Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10023)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Qixin Wang, Tianyi Luo, Dong Wang
    Pages 34-46
  3. Xian-Shi Zhang, Yong-Jie Li
    Pages 68-79
  4. Cong Hu, Xiao-Jun Wu
    Pages 80-89
  5. Min Wang, Hussein A. Abbass, Jiankun Hu, Kathryn Merrick
    Pages 90-101
  6. Dan Zeng, Fan Zhao, Yixin Bao
    Pages 102-112
  7. Huiling Wang, Lixiang Xu, Bin Luo
    Pages 113-124
  8. Hongmin Li, Guoqi Li, Luping Shi
    Pages 138-148
  9. Fei Gao, Xiangshang Xue, Jun Wang, Jinping Sun, Amir Hussain, Erfu Yang
    Pages 149-160
  10. Saad Razzaq, Fahad Maqbool, Amir Hussain
    Pages 161-170
  11. Dong Wang, Qiang Zhou, Amir Hussain
    Pages 171-183
  12. Hongjian Bo, Haifeng Li, Lin Ma, Bo Yu
    Pages 184-195
  13. Pei-Zhen Li, Juan-Hui Li, Chang-Dong Wang
    Pages 207-219

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016, held in Beijing, China, in November 2016. The 32 full papers presented were carefully reviewed and selected from 43 submissions. They discuss the emerging areas and challenges, present the state of the art of brain-inspired cognitive systems research and applications in diverse fields by covering many topics in brain inspired cognitive systems related research including biologically inspired systems, cognitive neuroscience, models consciousness, and neural computation.

Keywords

cognitive neuroscience hybrid neural systems neural networks robotics virtual machine brain inspired vision brain-computer interaction decision maiking emotion and affect machine learning neural correlates neural learning neuromorphic systems neurophysiological grounding philosophical implications self awareness signal processing sub-cortical modles swarm intelligence systems neuroscience

Editors and affiliations

  • Cheng-Lin Liu
    • 1
  • Amir Hussain
    • 2
  • Bin Luo
    • 3
  • Kay Chen Tan
    • 4
  • Yi Zeng
    • 5
  • Zhaoxiang Zhang
    • 6
  1. 1.Institute of AutomationChinese Academy of SciencesBeijingChina
  2. 2.Computing Science and MathematicsUniversity of StirlingStirlingUnited Kingdom
  3. 3.Anhui UniversityAnhuiChina
  4. 4.National University of SingaporeSingaporeSingapore
  5. 5.Institute of AutomationChinese Academy of SciencesBeijingChina
  6. 6.Institute of AutomationChinese Academy of SciencesBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-49685-6
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-49684-9
  • Online ISBN 978-3-319-49685-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book