Neural Information Processing. Theory and Algorithms

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

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.

• adaptive local search
• algorithm
• association rule
• bayesian network
• biometrics
• bionic vision
• cellular automaton
• clustering
• computational modeling
• constrained optimization
• context modeling
• data mining
• decision making
• ensemble classifier
• feature extraction
• genetic programming
• image retrieval
• knowledge discovery
• machine learning
• multi-objective optimization
• neural networks
• object classification
• optimization model
• parallel processing
• pareto-optimal solutions
• particle swarm optimization
• recommender systems
• reinforcement learning
• rough set
• self-organizing maps
• semi-supervised learning
• sensor networks
• simulation
• social network
• supervised learning
• support vector machine
• swarm intelligence
• tabu search
• text classification
• time complexity
• traffic surveillance system
• visualization

• 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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