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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
Conference proceedings BICS 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10023)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10023)

Table of contents

  1. Front Matter
    Pages I-XIII
    PDF
  2. An Improved Recurrent Network for Online Equality-Constrained Quadratic Programming
    Ke Chen, Zhaoxiang Zhang
    Pages 1-10
  3. Towards Robot Self-consciousness (I): Brain-Inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-recognition
    Yi Zeng, Yuxuan Zhao, Jun Bai
    Pages 11-21
  4. Implementation of EEG Emotion Recognition System Based on Hierarchical Convolutional Neural Networks
    Jinpeng Li, Zhaoxiang Zhang, Huiguang He
    Pages 22-33
  5. Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test
    Qixin Wang, Tianyi Luo, Dong Wang
    Pages 34-46
  6. Decoding Visual Stimuli in Human Brain by Using Anatomical Pattern Analysis on fMRI Images
    Muhammad Yousefnezhad, Daoqiang Zhang
    Pages 47-57
  7. An Investigation of Machine Learning and Neural Computation Paradigms in the Design of Clinical Decision Support Systems (CDSSs)
    Summrina K. Wajid, Amir Hussain, Bin Luo, Kaizhu Huang
    Pages 58-67
  8. A Retina Inspired Model for High Dynamic Range Image Rendering
    Xian-Shi Zhang, Yong-Jie Li
    Pages 68-79
  9. Autoencoders with Drop Strategy
    Cong Hu, Xiao-Jun Wu
    Pages 80-89
  10. Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks
    Min Wang, Hussein A. Abbass, Jiankun Hu, Kathryn Merrick
    Pages 90-101
  11. Compressing Deep Neural Network for Facial Landmarks Detection
    Dan Zeng, Fan Zhao, Yixin Bao
    Pages 102-112
  12. Learning Optimal Seeds for Salient Object Detection
    Huiling Wang, Lixiang Xu, Bin Luo
    Pages 113-124
  13. A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its Application in Decision Making
    Guixiang Wang, Yi Zeng, Bo Xu
    Pages 125-137
  14. Classification of Spatiotemporal Events Based on Random Forest
    Hongmin Li, Guoqi Li, Luping Shi
    Pages 138-148
  15. Visual Attention Model with a Novel Learning Strategy and Its Application to Target Detection from SAR Images
    Fei Gao, Xiangshang Xue, Jun Wang, Jinping Sun, Amir Hussain, Erfu Yang
    Pages 149-160
  16. Modified Cat Swarm Optimization for Clustering
    Saad Razzaq, Fahad Maqbool, Amir Hussain
    Pages 161-170
  17. Deep and Sparse Learning in Speech and Language Processing: An Overview
    Dong Wang, Qiang Zhou, Amir Hussain
    Pages 171-183
  18. Time-Course EEG Spectrum Evidence for Music Key Perception and Emotional Effects
    Hongjian Bo, Haifeng Li, Lin Ma, Bo Yu
    Pages 184-195
  19. A Possible Neural Circuit for Decision Making and Its Learning Process
    Hui Wei, Yijie Bu, Dawei Dai
    Pages 196-206
  20. A SVM-Based EEG Signal Analysis: An Auxiliary Therapy for Tinnitus
    Pei-Zhen Li, Juan-Hui Li, Chang-Dong Wang
    Pages 207-219
  21. Passive BCI Based on Sustained Attention Detection: An fNIRS Study
    Zhen Zhang, Xuejun Jiao, Jin Jiang, Jinjin Pan, Yong Cao, Hanjun Yang et al.
    Pages 220-227
  22. Incremental Learning Vector Quantization for Character Recognition with Local Style Consistency
    Yuan-Yuan Shen, Cheng-Lin Liu
    Pages 228-239
  23. A Novel Fully Automated Liver and HCC Tumor Segmentation System Using Morphological Operations
    Liaqat Ali, Amir Hussain, Jingpeng Li, Newton Howard, Amir A. Shah, Unnam Sudhakar et al.
    Pages 240-250
  24. A New Biologically-Inspired Analytical Worm Propagation Model for Mobile Unstructured Peer-to-Peer Networks
    Hani Alharbi, Khalid Aloufi, Amir Hussain
    Pages 251-263
  25. EEG Brain Functional Connectivity Dynamic Evolution Model: A Study via Wavelet Coherence
    Chunying Fang, Haifeng Li, Lin Ma
    Pages 264-273
  26. Predicting Insulin Resistance in Children Using a Machine-Learning-Based Clinical Decision Support System
    Adam James Hall, Amir Hussain, M. Guftar Shaikh
    Pages 274-283
  27. An Ontological Framework of Semantic Learner Profile in an E-Learning System
    T. Sheeba, Reshmy Krishnan
    Pages 284-297
  28. Incremental PCANet: A Lifelong Learning Framework to Achieve the Plasticity of both Feature and Classifier Constructions
    Wang-Li Hao, Zhaoxiang Zhang
    Pages 298-309
  29. PerSent: A Freely Available Persian Sentiment Lexicon
    Kia Dashtipour, Amir Hussain, Qiang Zhou, Alexander Gelbukh, Ahmad Y. A. Hawalah, Erik Cambria
    Pages 310-320
  30. Low-Rank Image Set Representation and Classification
    Youxia Cao, Bo Jiang, Zhuqiang Chen, Jin Tang, Bin Luo
    Pages 321-330
  31. A Data Driven Approach to Audiovisual Speech Mapping
    Andrew Abel, Ricard Marxer, Jon Barker, Roger Watt, Bill Whitmer, Peter Derleth et al.
    Pages 331-342
  32. Continuous Time Recurrent Neural Network Model of Recurrent Collaterals in the Hippocampus CA3 Region
    Ashraya Samba Shiva, Amir Hussain
    Pages 343-354
  33. Sparse-Network Based Framework for Detecting the Overlapping Community Structure of Brain Functional Network
    Xuan Li, Zilan Hu, Haixian Wang
    Pages 355-365
  34. Back Matter
    Pages 367-368
    PDF

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
  • Buy this book on publisher's site
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