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Neural Information Processing

21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Chu Kiong Loo

    1. Department of Artificial Intelligence, Faculty of Computer Science and Information Technology Building, University of Malaya, Kuala Lumpur, Malaysia

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  2. Keem Siah Yap

    1. Department of Electronics and Communication Engineering,College of Engineering, Jalan IKRAM-UNITEN, Universiti Tenaga Nasional, Kajang, Malaysia

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  3. Kok Wai Wong

    1. School of Engineering and Information Technology, Murdoch University, Murdoch, Australia

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  4. Andrew Teoh

    1. Department of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea

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  5. Kaizhu Huang

    1. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8834)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICONIP 2014.

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About this book

The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 21st International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes, theories and applications, cognitive robotics, and learning systems for social network and web mining.

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Table of contents (77 papers)

  1. Front Matter

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  2. Cognitive Science

    1. Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activity

      • Md. Hedayetul Islam Shovon, D (Nanda) Nandagopal, Ramasamy Vijayalakshmi, Jia Tina Du, Bernadine Cocks
      Pages 1-10

    2. Human Implicit Intent Discrimination Using EEG and Eye Movement

      • Ukeob Park, Rammohan Mallipeddi, Minho Lee
      Pages 11-18

    3. Towards Establishing Relationships between Human Arousal Level and Motion Mass

      • Sven Nõmm, Tiit Kõnnusaar, Aaro Toomela
      Pages 19-26

    4. Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites

      • Toshiaki Omori
      Pages 27-34

    5. Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning

      • Krishna Prasad Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi
      Pages 35-41

    6. An Agent Response System Based on Mirror Neuron and Theory of Mind

      • Kyon-Mo Yang, Sung-Bae Cho
      Pages 42-49

    7. Dynamic of Nitric Oxide Diffusion in Volume Transmission: Model and Validation

      • Fernández López Pablo, García Báez Patricio, Suárez Araujo Carmen Paz
      Pages 50-58

    8. A Computational Model of the Relation between Regulation of Negative Emotions and Mood

      • Altaf Hussain Abro, Michel C. A. Klein, Adnan R. Manzoor, Seyed Amin Tabatabaei, Jan Treur
      Pages 59-68

  3. Neural Networks and Learning Systems - Theory and Design

    1. Low-Cost Representation for Restricted Boltzmann Machines

      • Son N. Tran, Artur d’Avila Garcez
      Pages 69-77

    2. Add-if-Silent Rule for Training Multi-layered Convolutional Network Neocognitron

      • Kunihiko Fukushima
      Pages 78-85

    3. Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework

      • Enmei Tu, Jie Yang, Zhenghong Jia, Nicola Kasabov
      Pages 86-94

    4. Computational Model of Neocortical Learning Process: Prototype

      • Jing Xian Teo, Henry Lee Seldon
      Pages 95-102

    5. Active Learning with Maximum Density and Minimum Redundancy

      • Yingjie Gu, Zhong Jin, Steve C. Chiu
      Pages 103-110

    6. One-to-Many Association Ability of Chaotic Quaternionic Multidirectional Associative Memory

      • Takumi Okutsu, Yuko Osana
      Pages 111-118

    7. An Entropy-Guided Adaptive Co-construction Method of State and Action Spaces in Reinforcement Learning

      • Masato Nagayoshi, Hajime Murao, Hisashi Tamaki
      Pages 119-126

    8. A Nodes Reduction Procedure for RBFNDDA through Histogram

      • Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah
      Pages 127-134

    9. Toroidal Approximate Identity Neural Networks Are Universal Approximators

      • Saeed Panahian Fard, Zarita Zainuddin
      Pages 135-142

    10. Self-organizing Neural Grove

      • Hirotaka Inoue
      Pages 143-150

    11. Transfer Learning Using the Online FMM Model

      • Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo
      Pages 151-158
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

Editors and Affiliations

  • Department of Artificial Intelligence, Faculty of Computer Science and Information Technology Building, University of Malaya, Kuala Lumpur, Malaysia

    Chu Kiong Loo

  • Department of Electronics and Communication Engineering,College of Engineering, Jalan IKRAM-UNITEN, Universiti Tenaga Nasional, Kajang, Malaysia

    Keem Siah Yap

  • School of Engineering and Information Technology, Murdoch University, Murdoch, Australia

    Kok Wai Wong

  • Department of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea

    Andrew Teoh

  • Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Kaizhu Huang

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