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Advances in Neural Networks -- ISNN 2010

7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Liqing Zhang

    1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

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  2. Bao-Liang Lu

    1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

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    You can also search for this editor in PubMed   Google Scholar

  3. James Kwok

    1. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water bay, Kowloon, Hong Kong, China

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6063)

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

Included in the following conference series:

Conference proceedings info: ISNN 2010.

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Table of contents (94 papers)

  1. Front Matter

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  2. Neurophysiological Foundation

    1. Stimulus-Dependent Noise Facilitates Tracking Performances of Neuronal Networks

      • Longwen Huang, Si Wu
      Pages 1-8

    2. Range Parameter Induced Bifurcation in a Single Neuron Model with Delay-Dependent Parameters

      • Min Xiao, Jinde Cao
      Pages 9-16

    3. Messenger RNA Polyadenylation Site Recognition in Green Alga Chlamydomonas Reinhardtii

      • Guoli Ji, Xiaohui Wu, Qingshun Quinn Li, Jianti Zheng
      Pages 17-26

    4. A Study to Neuron Ensemble of Cognitive Cortex ISI Coding Represent Stimulus

      • Hu Yi, Xin Tian
      Pages 27-32

    5. STDP within NDS Neurons

      • Mario Antoine Aoun
      Pages 33-43

    6. Synchronized Activities among Retinal Ganglion Cells in Response to External Stimuli

      • Lei Xiao, Ying-Ying Zhang, Pei-Ji Liang
      Pages 44-50

    7. Novel Method to Discriminate Awaking and Sleep Status in Light of the Power Spectral Density

      • Lengshi Dai, You Wang, Haigang Zhu, Walter J. Freeman, Guang Li
      Pages 51-57

    8. Current Perception Threshold Measurement via Single Channel Electroencephalogram Based on Confidence Algorithm

      • You Wang, Yi Qiu, Yuping Miao, Guiping Dai, Guang Li
      Pages 58-62

    9. Electroantennogram Obtained from Honeybee Antennae for Odor Detection

      • You Wang, Yuanzhe Zheng, Zhiyuan Luo, Guang Li
      Pages 63-66

    10. A Possible Mechanism for Controlling Timing Representation in the Cerebellar Cortex

      • Takeru Honda, Tadashi Yamazaki, Shigeru Tanaka, Tetsuro Nishino
      Pages 67-76

  3. Theory and Models

    1. Parametric Sensitivity and Scalability of k-Winners-Take-All Networks with a Single State Variable and Infinity-Gain Activation Functions

      • Jun Wang, Zhishan Guo
      Pages 77-85

    2. Extension of the Generalization Complexity Measure to Real Valued Input Data Sets

      • Iván Gómez, Leonardo Franco, José M. Jerez, José L. Subirats
      Pages 86-94

    3. A New Two-Step Gradient-Based Backpropagation Training Method for Neural Networks

      • Xuewen Mu, Yaling Zhang
      Pages 95-101

    4. A Large-Update Primal-Dual Interior-Point Method for Second-Order Cone Programming

      • Liang Fang, Guoping He, Zengzhe Feng, Yongli Wang
      Pages 102-109

    5. A One-Step Smoothing Newton Method Based on a New Class of One-Parametric Nonlinear Complementarity Functions for P 0-NCP

      • Liang Fang, Xianming Kong, Xiaoyan Ma, Han Li, Wei Zhang
      Pages 110-117

    6. A Neural Network Algorithm for Solving Quadratic Programming Based on Fibonacci Method

      • Jingli Yang, Tingsong Du
      Pages 118-125

    7. A Hybrid Particle Swarm Optimization Algorithm Based on Nonlinear Simplex Method and Tabu Search

      • Zhanchao Li, Dongjian Zheng, Huijing Hou
      Pages 126-135

    8. Fourier Series Chaotic Neural Networks

      • Jia-hai Zhang, Chen-zhi Sun, Yao-qun Xu
      Pages 136-143

    9. Multi-objective Optimization of Grades Based on Soft Computing

      • Yong He
      Pages 144-151
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Other volumes

  1. Advances in Neural Networks - ISNN 2010

  2. Advances in Neural Networks - ISNN 2010

Keywords

About this book

This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six successive ISNN symposiums, ISNN has become a well-established series of popular and high-quality conferences on neural computation and its applications. ISNN aims at providing a platform for scientists, researchers, engineers, as well as students to gather together to present and discuss the latest progresses in neural networks, and applications in diverse areas. Nowadays, the field of neural networks has been fostered far beyond the traditional artificial neural networks. This year, ISNN 2010 received 591 submissions from more than 40 countries and regions. Based on rigorous reviews, 170 papers were selected for publication in the proceedings. The papers collected in the proceedings cover a broad spectrum of fields, ranging from neurophysiological experiments, neural modeling to extensions and applications of neural networks. We have organized the papers into two volumes based on their topics. The first volume, entitled “Advances in Neural Networks- ISNN 2010, Part 1,” covers the following topics: neurophysiological foundation, theory and models, learning and inference, neurodynamics. The second volume en- tled “Advance in Neural Networks ISNN 2010, Part 2” covers the following five topics: SVM and kernel methods, vision and image, data mining and text analysis, BCI and brain imaging, and applications.

Editors and Affiliations

  • Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

    Liqing Zhang, Bao-Liang Lu

  • Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water bay, Kowloon, Hong Kong, China

    James Kwok

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