Advances in Neuro-Information Processing

1. Front Matter

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2. INNS Symposium “New Directions in Neural Networks”

   1. Front Matter

      Pages 1-1

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   2. Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework

      • Nikola Kasabov

      Pages 3-13

   3. A Spiking Network of Hippocampal Model Including Neurogenesis

      • Yusuke Tabata, Masaharu Adachi

      Pages 14-21

   4. NeuroEvolution Based on Reusable and Hierarchical Modular Representation

      • Takumi Kamioka, Eiji Uchibe, Kenji Doya

      Pages 22-31

   5. A Common-Neural-Pattern Based Reasoning for Mobile Robot Cognitive Mapping

      • Aram Kawewong, Yutaro Honda, Manabu Tsuboyama, Osamu Hasegawa

      Pages 32-39

   6. Identifying Emotions Using Topographic Conditioning Maps

      • Athanasios Pavlou, Matthew Casey

      Pages 40-47

   7. A Gene Regulatory Model for the Development of Primitive Nervous Systems

      • Yaochu Jin, Lisa Schramm, Bernhard Sendhoff

      Pages 48-55

   8. Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing

      • Pieter Buteneers, Benjamin Schrauwen, David Verstraeten, Dirk Stroobandt

      Pages 56-63

   9. Learning of Subgoals for Goal-Oriented Behavior Control of Mobile Robots

      • Sang Hyoung Lee, Sanghoon Lee, Il Hong Suh, Wan Kyun Chung

      Pages 64-71

   10. Coding Mechanisms in Hippocampal Networks for Learning and Memory

       • Yasuhiro Fukushima, Minoru Tsukada, Ichiro Tsuda, Yutaka Yamaguti, Shigeru Kuroda

       Pages 72-79

   11. Developmental Stereo: Topographic Iconic-Abstract Map from Top-Down Connection

       • Mojtaba Solgi, Juyang Weng

       Pages 80-87

   12. An Analysis of Synaptic Transmission and its Plasticity by Glutamate Receptor Channel Kinetics Models and 2-Photon Laser Photolysis

       • Hiroshi Kojima, Shiori Katsumata

       Pages 88-94

   13. A Biologically Inspired Neural CPG for Sea Wave Conditions/Frequencies

       • Leena N. Patel, Alan Murray

       Pages 95-102

   14. Feature Subset Selection Using Differential Evolution

       • Rami N. Khushaba, Ahmed Al-Ani, Adel Al-Jumaily

       Pages 103-110

   15. Topology of Brain Functional Networks: Towards the Role of Genes

       • Mária Markošová, Liz Franz, Ľubica Beňušková

       Pages 111-118

   16. Hybrid Design Principles and Time Constants in the Construction of Brain-Based Robotics: A Real-Time Simulator of Oscillatory Neural Networks Interacting with the Real Environment via Robotic Devices

       • Hiroaki Wagatsuma

       Pages 119-126

3. Neurodynamics

   1. Front Matter

      Pages 127-127

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   2. First Spiking Dynamics of Stochastic Neuronal Model with Optimal Control

      • Yongjun Wu, Jianhua Peng, Ming Luo

      Pages 129-136

   3. BCM and Membrane Potential: Alternative Ways to Timing Dependent Plasticity

      • Johannes Partzsch, Christian Mayr, Rene Schüffny

      Pages 137-144

The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008. The 260 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. 116 papers are published in the first volume and 112 in the second volume. The contributions deal with topics in the areas of data mining methods for cybersecurity, computational models and their applications to machine learning and pattern recognition, lifelong incremental learning for intelligent systems, application of intelligent methods in ecological informatics, pattern recognition from real-world information by svm and other sophisticated techniques, dynamics of neural networks, recent advances in brain-inspired technologies for robotics, neural information processing in cooperative multi-robot systems.

• Markov Model
• Monte Carlo
• Sage
• artificial neural networks
• bioinformatics
• brain modeling
• classification
• intelligent information systems
• model
• modeling
• neurocomputers
• neuroscience
• pattern recognition
• quantum computation
• topology

• Kyushu Institute of Technology, Network Design and Research Center, Kawazu, Iizuka, Japan

  Mario Köppen

• Knowledge Engineering and Discovery Research Institute (KEDRI), School of Computing and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

  Nikola Kasabov

• Department of Electrical and Computer Engineering, Robotics Laboratory, Auckland University of Technology, Auckland, New Zealand

  George Coghill

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