Neural Information Processing

1. Front Matter

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2. Cognitive Science and Computational Neuroscience

   1. Hebbian-Based Neural Networks for Bottom-Up Visual Attention Systems

      • Ying Yu, Bin Wang, Liming Zhang

      Pages 1-9

   2. Modeling of Cortical Signals Using Optimized Echo State Networks with Leaky Integrator Neurons

      • Hanying Zhou, Yongji Wang, Jiangshuai Huang

      Pages 10-18

   3. Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking

      • Kenji Aoki, Hiroki Takahashi, Hideaki Itoh, Kiyohiko Nakamura

      Pages 19-25

   4. Some Computational Predictions on the Possibilities of Three-Dimensional Properties of Grid Cells in Entorhinal Cortex

      • Tanvir Islam, Yoko Yamaguchi

      Pages 26-33

   5. Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors

      • Uwe Friederich, Daniel Coca, Stephen Billings, Mikko Juusola

      Pages 34-48

   6. A Computational Model of Spatial Imagery Based on Object–Centered Scene Representation

      • Naoyuki Sato

      Pages 49-56

   7. Biophysical Modeling of a Drosophila Photoreceptor

      • Zhuoyi Song, Daniel Coca, Stephen Billings, Marten Postma, Roger C. Hardie, Mikko Juusola

      Pages 57-71

   8. Comparing a Cognitive and a Neural Model for Relative Trust Dynamics

      • S. Waqar Jaffry, Jan Treur

      Pages 72-83

   9. A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling

      • Shiro Usui, Keiichiro Inagaki, Takayuki Kannon, Yoshimi Kamiyama, Shunji Satoh, Nilton L. Kamiji et al.

      Pages 84-90

3. Neurodynamics

   1. Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks

      • Lahcen Ouarbya, Derrick T. Mirikitani

      Pages 91-99

   2. Finding MAPs Using High Order Recurrent Networks

      • Emad A. M. Andrews, Anthony J. Bonner

      Pages 100-109

   3. A Study on Bayesian Learning of One-Dimensional Linear Dynamical Systems

      • Takuto Naito, Keisuke Yamazaki

      Pages 110-117

   4. Decoding Characteristics of D/A Converters Based on Spiking Neurons

      • Masao Takiguchi, Toshimichi Saito

      Pages 118-125

   5. Separable Recursive Training Algorithms with Switching Module

      • Vijanth S. Asirvadam

      Pages 126-134

   6. Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations

      • Lucian Alecu, Hervé Frezza-Buet

      Pages 135-142

   7. Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator

      • Kantaro Fujiwara, Kazuyuki Aihara, Hideyuki Suzuki

      Pages 143-150

4. Mathematical Modeling and Analysis

   1. A Novel Method for Progressive Multiple Sequence Alignment Based on Lempel-Ziv

      • Guoli Ji, Congting Ye, Zijiang Yang, Zhenya Guo

      Pages 151-158

   2. Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation

      • Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano

      Pages 159-166

   3. A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution

      • Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano

      Pages 167-174

th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1–5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand was the proud host of ICONIP 2009. The conference theme was “Challenges and Trends of Neural Information Processing,” with an aim to discuss the past, present, and future challenges and trends in the field of neural information processing. ICONIP 2009 accepted 145 regular session papers and 53 special session papers from a total of 466 submissions received on the Springer Online Conference Service (OCS) system. The authors of accepted papers alone covered 36 countries and - gions worldwide and there are over 500 authors in these proceedings. The technical sessions were divided into 23 topical categories, including 9 special sessions.

• Mathematica
• algorithms
• bioinformatics
• computer
• computer vision
• data mining
• image processing
• learning
• modeling
• robot
• robotics

• Department of Electronic Engineering, City University of Hong Kong, Hong Kong,  

  Chi Sing Leung

• School of Electrical Engineering and Computer Science, Kyungpook National University, Taegu, Korea

  Minho Lee

• School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

  Jonathan H. Chan

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