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Neural Information Processing. Theory and Algorithms

17th International Conference, ICONIP 2010, Sydney, Australia, November 21-25, 2010, Proceedings, Part I

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Kok Wai Wong

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

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  2. B. Sumudu U. Mendis

    1. The Australian National University, Canberra, Australia

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  3. Abdesselam Bouzerdoum

    1. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6443)

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

Included in the following conference series:

Conference proceedings info: ICONIP 2010.

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Table of contents (85 papers)

  1. Front Matter

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  2. Neurodynamics

    1. Bayesian Interpretation of Border-Ownership Signals in Early Visual Cortex

      • Haruo Hosoya
      Pages 1-8

    2. A Computational Model That Enables Global Amodal Completion Based on V4 Neurons

      • Kazuhiro Sakamoto, Taichi Kumada, Masafumi Yano
      Pages 9-16

    3. Quantitative Modeling of Neuronal Dynamics in C. elegans

      • Masahiro Kuramochi, Yuishi Iwasaki
      Pages 17-24

    4. Human Localization by Fuzzy Spiking Neural Network Based on Informationally Structured Space

      • Dalai Tang, Naoyuki Kubot
      Pages 25-32

    5. Computational Model of the Cerebral Cortex That Performs Sparse Coding Using a Bayesian Network and Self-Organizing Maps

      • Yuuji Ichisugi, Haruo Hosoya
      Pages 33-40

    6. Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activity

      • Peter Stratton, Janet Wiles
      Pages 41-48

    7. Mutual Information Analyses of Chaotic Neurodynamics Driven by Neuron Selection Methods in Synchronous Exponential Chaotic Tabu Search for Quadratic Assignment Problems

      • Tetsuo Kawamura, Yoshihiko Horio, Mikio Hasegawa
      Pages 49-57

    8. A General-Purpose Model Translation System for a Universal Neural Chip

      • Francesco Galluppi, Alexander Rast, Sergio Davies, Steve Furber
      Pages 58-65

    9. Realizing Ideal Spatiotemporal Chaotic Searching Dynamics for Optimization Algorithms Using Neural Networks

      • Mikio Hasegawa
      Pages 66-73

    10. A Multiple Sound Source Recognition System Using Pulsed Neuron Model with Short Term Synaptic Depression

      • Kaname Iwasa, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata
      Pages 74-81

    11. A Model of Path Integration and Navigation Based on Head Direction Cells in Entorhinal Cortex

      • Tanvir Islam, Ryutaro Fukuzaki
      Pages 82-90

    12. Model Studies on Time-Scaled Phase Response Curves and Synchronization Transition

      • Yasuomi D. Sato, Keiji Okumura, Masatoshi Shiino
      Pages 91-98

    13. Roles of Early Vision for the Dynamics of Border-Ownership Selective Neurons

      • Nobuhiko Wagatsuma, Ko Sakai
      Pages 99-106

    14. Theoretical Analysis of Various Synchronizations in Pulse-Coupled Digital Spiking Neurons

      • Hirofumi Ijichi, Hiroyuki Torikai
      Pages 107-115

    15. Emergence of Highly Nonrandom Functional Synaptic Connectivity Through STDP

      • Hideyuki Kato, Tohru Ikeguchi
      Pages 116-123

    16. Modulation of Corticofugal Signals by Synaptic Changes in Bat’s Auditory System

      • Yoshihiro Nagase, Yoshiki Kashimori
      Pages 124-131

    17. Efficient Representation by Horizontal Connection in Primary Visual Cortex

      • Hiroaki Sasaki, Shunji Satoh, Shiro Usui
      Pages 132-139

    18. Stimulation of the Retinal Network in Bionic Vision Devices: From Multi-Electrode Arrays to Pixelated Vision

      • Robert G. H. Wilke, Gita Khalili Moghaddam, Socrates Dokos, Gregg Suaning, Nigel H. Lovell
      Pages 140-147

    19. Spatial Feature Extraction by Spike Timing Dependent Synaptic Modification

      • Kazuhisa Fujita
      Pages 148-154
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Other volumes

  1. Neural Information Processing. Theory and Algorithms

  2. Neural Information Processing. Models and Applications

Keywords

About this book

The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.

Editors and Affiliations

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

    Kok Wai Wong

  • The Australian National University, Canberra, Australia

    B. Sumudu U. Mendis

  • School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, Australia

    Abdesselam Bouzerdoum

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