5. ICONIP 1998:
Kitakyushu, Japan
Shiro Usui, Takashi Omori (Eds.):
The Fifth International Conference on Neural Information Processing, ICONIP'R98, Kitakyushu, Japan, October 21-23, 1998, Proceedings.
IOA Press 1998 
Volume 1
Opening Lecture
- Masao Ito:
Future Perspectives and Challenges of Neuroscience.
1
Keynote Lecture 1
Special Panel 1:
The 21st Century of the Brain
- Shun-ichi Amari:
Future Perspective of 'Creating Brain' Program.
7
- Rolf Eckmiller:
Strategic, Scientific, and Financial Aspects of Neuroscience and Neurotechnology in the 21st Century.
8
- Aike Guo:
Thinking in Brain Complexity.
8-9
- Gen Matsumoto:
The Brain and Brainway Computer.
9
- Lei Xu:
The Role of Statistical Theory in the Future Research on Brain-like Systems.
9-10
- Robert Hecht-Nielsen:
Cortronic Neural Network Models of Cortical Function.
11
- Harold Szu:
Barin-Style Information Processing in the Next Century - Pro & Con in Supervised versus Unsupervised Learnings.
11-12
- Jacek M. Zurada:
From Chaos to Organization: Neurodynamics of 2D Active Medium.
12
- Nikola Kasabov:
Evolving Connectionist Systems and Evolving Brains.
12-13
- Soo-Young Lee:
Braintech'21: Korean Proposal for Creating Artificial Brains from Hint.
13-17
Dynamic Brain 1
From Neuroscience / Neural Computation Research to Profitable Products
- Rolf Eckmiller, Steffen Suchert:
Strategy for the Foundation of a Neurotechnology Company.
37-39
- Tetsuo Iga, Yoshifumi Arai, Shiro Usui:
Trend of a Present Color Management Technology in the Industry.
40-43
- Masanobu Takahashi, Yukio Tanaka, Ken-ichi Tanaka, Kazuo Kyuma, Seiichi Tamai:
Pathological Diagnosis Support System Using Neural Networks.
44-47
- Ken-ichi Tanaka, Kazuo Kyuma:
Artificial Vision Chip for Industrial Applications.
48-49
- Nils Goerke, V. Ortmann, Rolf Eckmiller:
Industrial Applications for an Active Vision System Based on Primate Oculomotion and Neural Computation.
50-52
Statistical & Mathematical Analysis of Networks
- Yoshihiro Mitani, Yoshihiko Hamamoto:
A Bootstrap-Based Learning with the Cross Validation.
55-58
- Sumio Watanabe:
Inequalities of Generalization Errors for Layered Neural Networks in Bayesian Learning.
59-62
- Jun Rokui, Hiroshi Shimodaira:
Improving the Generalization Performance of the Minimum Classification Error Learning and Its Application to Neural Networks.
63-66
- Kenji Fukumizu:
Effect of Batch Learning in Multilayer Neural Networks.
67-70
- Wing-kai Lam, Lei Xu:
An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts.
71-74
- Kuniaki Uto, Yukio Kosugi:
Segmented Representation of Approximation Surface.
75-78
Hardware Implementation of Neural Networks
- Yutaka Maeda, Toshiki Tada, Yakichi Tanaka:
HDL Design of Pulse Density Neural Network Using Simultaneous Perturbation.
81-84
- Kuninori Nishizawa, Yuzo Hirai:
Hardware Implementation of PCA Neural Network.
85-88
- Masahiro Murakawa, Kazuyuki Hiraoka, Tetsuya Higuchi, Tatsumi Furuya, Shuji Yoshizawa:
Adaptive Blind Equalization Using Bottleneck Networks Implemented by Evolvable Hardware.
89-92
- Norberto Eiji Nawa, Michael Korkin, Hugo de Garis:
Digital Spikes: Information Representation in ATR's CAM-Brain Machine.
93-96
- Romuald Boné, Michel Crucianu, Pascal Makris, Jean Pierre Asselin de Beauville:
A Web Oriented Recurrent Neural Network Simulator.
97-100
- Jung-Wook Cho, Soo-Young Lee:
Analog Neuro-Chips with On-Chip Learning Capability for Active Noise Canceling.
101-104
Robotics & Control
Brain Imaging in Cognition and Behavior 1
- Toshiaki Imada, Masaki Kawakatsu, Makoto Kotani:
Neuromagnetic Studies on Visual Pattern Processings in the Human Brain.
129-132
- Andreas A. Ioannides:
Fundamental Macro-Properties of Brain Activity Revealed by Magnetoencephalography (MEG).
133-138
- Norio Fujimaki, Satoru Miyauchi:
Language-Related Neural Activity Measured by Functional Magnetic Resonance Imaging and Magnetoencephalography.
139-142
- Shoogo Ueno:
Functional Human Brain Mapping and Imaging by Transcranial Magnetic Stimulation, Magnetoencephalography, and Direct Current MRI.
143-145
Image & Signal Processing
- Zdenek Prochazka, Takayuki Ito, Toshio Okamoto:
A New Method for Automated Image Warping Based on a Variational Approach.
149-152
- Yoshihiro Kitaoka, Kiichi Urahama:
Monochromatic Visualization of Multimodal Images by Projection Pursuit.
153-156
- Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki:
A Recurrent Neural Filter for Reducing Noise in Medical X-Ray Image Sequences.
157-160
- Dick de Ridder, Robert P. W. Duin, Piet W. Verbeek, Lucas J. van Vliet:
On the Application of Neural Networks to Non-Linear Image Processing Tasks.
161-165
- Toshinao Ishii, Kazuo Kyuma:
Learning Template in Dynamic Link Matching Neural Network.
166-168
- Dongshik Kang, Sigeru Omatu:
Neuro-Classification of the New and Used Bills Using Time-Series Acoustic Data.
169-172
Dynamic Brain 2
Distributed Processing Systems 1
Neuro Dynamics & Unsupervised Learning
Reinforcement Learning 1
Pattern Recognition
Early Vision 1
- Harold Szu, Charles Hsu, Takeshi Yamakawa:
Progress of Unsupervised Learning of Early Vision.
303-306
- Takayuki Sugiura, Kazuhiro Sakamoto, Toshihiko Kaku, Masafumi Yano:
A Competition between Temporal and Spatial Factors in One-Shot Visual Apparent Motion: Directional Effect.
307-310
- Eizo Ueyama, Hideo Yuasa, Shigeyuki Hosoe, Masami Ito:
Figure-Ground Separation from Motion-Subjective Contour and Front Dynamics.
311-314
- Masayuki Kikuchi, Koichi Anada, Kunihiko Fukushima:
Neural Network Model Completing Occluded Contour.
315-318
- Tsuyoshi Yamamura, Shin Kobayashi, Isao Horiba, Noboru Sugie, Hiroaki Kudo, Noboru Ohnishi:
A Neural Network Model of Dynamical Grouping Process.
319-322
Brain Imaging in Cognition and Behavior 2
- Ryuta Kawashima, Kentaro Inoue, Hiroshi Fukuda:
Changes in Cerebral Activity during Visuomotor Learning with Optical Rotation: A Positron Emission Tomography Study.
325-328
- Toshio Iijima, I. Takashima, M. Inase, R. Kajiwara, M. Shinoda, T. Takahashi, K. Tsukada, Hideaki Hirose, K. Niisato:
Real-Time Optical Imaging Provides "Dynamic Map of Brain Activity".
329-332
- Mitsuhiro Fukuda, Makoto Nishizaki, Manabu Tanifuji:
Functional Structures from Different Components of Intrinsic Signal in Cat Visual Cortex.
333-336
- Hirokazu Koizumi, T. Ochiai, T. Okahashi, Y. Yamashita, A. Maki, T. Yamamoto, Y. Inagami, H. Yoshizawa, M. Iwata, Takashi Omori, Moritoshi Yasunaga:
Dynamic Optical Topography and the Real-Time PDP Chip: An Analytical and Synthetical Approach to Higher-Order Brain Functions.
337-340
Image Processing
Poster Session 1:
Vision
- Terunori Mori, Seiji Kurosawa, Miho Matsumaru, Mizuki Matsuura:
Generalized Field Effect Method.
371-374
- Nobuaki Hiromitsu, Masanori Idesawa:
A Study on the Influence of Intermediate Surface Structure in Depth Perception with Binocular Viewing.
375-378
- Jun Saiki:
Binding with and without Attention: a Neural Network Model for Computation of Spatial Relation in Object Perception.
379-382
- Akio Suzuki, Masafumi Yano:
A Representation of Form Included Illusory Contours.
383-386
- Yasunari Yoshitomi, Tomohiro Shii, Tetsuro Kitazoe:
Fast Calculation Method for Stereoscopic Vision with Pattern Recognition Equation and Image Processing.
387-390
- Tetsuro Kitazoe, Junichi Tomiyama, Yasunari Yoshitomi, Tomohiro Shii:
Sequential Stereoscopic Vision and Hysteresis.
391-396
- Naoyuki Sato, Masafumi Yano:
A Dynamical Model of Stereopsis to Form 3-D Surfaces.
397-400
- Hiroaki Kudo, M. Umeda, Isao Horiba, Noboru Sugie, Tsuyoshi Yamamura, Noboru Ohnishi:
Correspondence Procedure for Recovery of Rigid Structure from Orthographically Projected Optical Flow - A computational Aspect of Kinetic Depth Effect.
401-404
- Katsunari Shibata, Koji Ito:
Reconstruction of Visual Sensory Space on the Hidden Layer in Layered Neural Networks.
405-408
- Shotaro Akaho, Yoshiyasu Goto, Takio Kurita, Hiroshi Mizoguchi:
Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning.
409-412
- Ken-ichiro Miura, Takashi Nagano, Kenji Kawano:
Self-Organizing Model for the Detection of Really Moving Objects.
413-416
- Kiyomi Nakamura, Noriki Kinoshita, Tadataka Yoshikawa:
Face Shape and Position Recognition in Two-D Space by Spreading Associative Neural Network.
417-420
Cognitive Systems
EEG
- Fang Chen, Jinghua Xu, Fanji Gu, Z. R. Liu, R. Liu:
A New Measurement of Complexity for Studying EEG Mutual Information.
435-437
- Eung-Soo Kim, Duk-Yun Cho, You-Jung Lee, Chang-Su Ryu:
An Estimation of the Bispectrum for the EEG in Emotional States.
438-441
- Sangbaek Han, Seunghyun Jin, Yeongsu Jeong, Jaeseung Jeong, Dae-Jin Kim, Chang-Hee Kim, Choon-Kil Kim, Soo Yong Kim:
Can an Alpha-Induced Stimulator Enhance a Memory Process in the Brain?
442-445
- J. M. Choi, B. H. Bae, S. Y. Kim:
A General Relation among Power Spectral Values of the Human Spontaneous EEG.
446-448
- Hyung-Rae Kim, Dae-Jin Kim, Soo Yong Kim, Hyojin Go:
Principal Pattern Analysis of Sleep Deprived Human EEG.
449-454
- Jaeseung Jeong, Moo Seong Kim, Soo Yong Kim:
Tests for Deterministic Dynamics in EEG.
455-458
Others
- T. N. Macharashvili:
Investigation of Nonlinear Structure of Brain Dynamics Assuming a Text as a Time Series.
459-462
- Akira Hirose:
Proposal of a Brain-Type System Architecture Based on Self-Organizing Consciousness Using Coherence.
463-466
- Hiroshi Fukuda, Naohiro Fukumura, Masazumi Katayama, Yoji Uno:
Object Recognition and Formation of Hand Shape in Human Grasping Movements.
467-470
- Kazunori Miyamoto, Youichi Tsubusaki, Torao Yanaru, Masahiro Nagamatsu:
Symbolized Particles Store Type Neuron Model and Its Application to Voiced Signals.
471-473
- Naruki Shirahama, Masahiro Nagamatsu, Torao Yanaru:
An Emotion Processing System Based on Subjective Observation.
474-477
- Hualou Liang, Nikos K. Logothetis:
Blind Signal Separation with a Flexible Non-Linearity.
478-481
- Hiroshi Wakuya, Katsunori Shida:
Reversed Pattern Generation Phenomenon Observed in a Sensorimotor Coordinated System.
482-485
Statistical & Mathematical Analysis of Networks
- Ping Guo:
Averaging Ensemble Neural Networks in Parameter Space.
486-489
- Takashi Koshimizu, Masaaki Tsujitani:
Probabilistic and Statistical Aspects of Feed-Forward Nonlinear Neural Networks.
490-493
- Takashi Takahashi, Ryuji Tokunaga:
Energy Functions for Efficient Nonlinear Dimensionality Reduction by Multi Layer Perceptrons.
494-497
- Michiel C. van Wezel, Walter A. Kosters, Joost N. Kok:
Maximum Likelihood Weights for a Linear Ensemble of Regression Neural Networks.
498-501
- Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui:
Upper Bounds on the Expected Training Errors of Neural Networks Regressions for a Gaussian Noise.
502-505
- Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller:
An Improvement of AdaBoost to Avoid Overfitting.
506-509
- Dong-Gyu Jeong, Soo-Young Lee, Soo Yong Kim:
Analysis on the Nonlinear Transform of Weighted Sum Errors in Feedforward Neural Networks.
510-513
- Hiroshi Yamakawa:
Proposing Matchability Criterion for Situation Decomposition - Extracting Situations each of which Contains a Rule.
514-517
Neuro Dynamics & Unsupervised Learning
- Tohru Nitta:
The Stability of the Solution in Fully Connected Neural Networks with the Encouragement Factor.
518-521
- Hongbing Zhu, Mamoru Sasaki, Takahiro Inoue, K. Sugitani:
A Proof of Convergence of Asynchronous Boltzmann Machine.
522-525
- Masahiro Nakagawa:
A Periodic Chaos Neural Network.
526-529
- Yukito Iba:
Mean Field Approximation in Bayesian Variable Selection.
530-533
- Takashi Kuroki, Toshiyuki Tanaka, Masao Taki:
Examination of Mean Field Approximation Based on Linear Response Theorem for Boltzmann Machine Learning.
534-537
- Kazuhiro Kojima, Koji Ito:
A New Dynamical Memory System Based on Chaotic Neural Networks.
538-541
- Tomohiro Yokoo, Kenji Nagasaka:
The Improvements of the Learning Vector Quantization Method.
542-545
- Shinichi Yoshizawa, Shinji Doki, Shigeru Okuma:
A New Vector Quantization Algorithm with Annealing Operation for Time-Varying Data.
546-549
- Kikuo Fujimura, Heizo Tokutaka, Masumi Ishikawa:
Modified Counter-Propagation Network.
550-553
- Toshiyuki Tanaka:
Estimation of Third-Order Correlations within Mean Field Approximation.
554-557
Hardware Implementation of Neural Networks
- Wei Lu, Bingxue Shi, Zhijian Li:
A Fuzzy Recognition Integrated Circuit.
558-561
- Guoxing Li, Bingxue Shi:
A Current Mode VLSI Neural Fuzzy Classifier for Unconstrained Handwritten Numeral Classification.
562-565
- Oh Jun Kwon, Sung Yang Bang:
A Unified Design Method which Generates a Fault Tolerant MLP while Minimizing the Quantization Effects.
566-569
- Sei Takahashi, Hiroshi Hakoda, Yoshifumi Sekine:
Temporal Pattern Discrimination Using the Brain Mimic Processor.
570-573
- Hideki Toda, Yuzo Hirai:
Summation Characteristics of PDM Digital Neural Network System.
574-57
- Seiji Kameda, Akira Honda, Tetsuya Yagi:
An One-Dimensional analog Vision Chip System with Light-Adaptive Gain Control.
578-581
- Souta Sakabayashi, Takashi Morie, Makoto Nagata, Atsushi Iwata:
Nonlinear Function Generators and Chaotic Signal Generators Based on Pulse-Phase Modulation.
582-585
- Hiroshi Ando, Takashi Morie, Makoto Nagata, Atsushi Iwata:
Oscillator Networks for Image Segmentation and Their Circuits Using Pulse Modulation Method.
586-589
Volume 2
Keynote Lecture 2
Plenary Lecture 1
- Erkki Oja:
Signal Decomposition by Fast ICA.
594-602
Plenary Lecture 2
Dynamic Brain 3
Selection and Optimization of Neural Architectures 1
- Lei Xu:
BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number.
631-634
- Peter Géczy, Shiro Usui:
Theoretical Concept of Network Pruning Based on Functional Convergence.
635-638
- Wlodzislaw Duch, Rafal Adamczak:
Statistical Methods for Construction of Neural Networks.
639-642
- Ryotaro Kamimura:
Structural Information Control to Improve Generalization.
643-646
- Sangbong Park, Cheol Hoon Park:
Empirical Study on Generalization of NN in Respect to Network Complexity.
647-650
Early Vision 2 and Self Organization
Distributed Processing Systems 2
Other Applications
Independent Component Analysis and Related Problems 1
Soft Computing & Optimization & Learning
Dynamic Brain 4
Selection and Optimization of Neural Architectures 2
Early Vision 3
Reinforcement Learning 2
Sensory Motor Integration
- Hiromichi Nakashima, Noboru Ohnishi:
Learning Sound Source Localization by Interaction between Motion and Sensing - In a Non-Linear Motor System.
861-854
- Taro Maeda, Susumu Tachi:
A Consideration of Perceptual-Motor Coordination with Active and Passive Movements.
865-868
- Jae-Moon Chung, Noboru Ohnishi:
Self Development of Hand-Eye Coordination for Robotic Grasping via "Learn-by-Doing".
869-872
- Naohiro Fukumura, Shigenao Otane, Yoji Uno, Ryoji Suzuki:
A Neural Network Model for Extracting Correlated Information in Sensory Integration.
873-876
- Lei Xu:
Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control.
877-884
Independent Component Analysis and Related Problems 2
Knowledge & Rule Extraction
Poster Session 2:
Mathematical Theory of Brain Functions
- Yujian Li, Xiangdong Wang, Chuan Chen:
Analysis of Orthogonal Memory Patterns.
939-942
- Lipo Wang:
Storage and Recall of Spatio-Temporal Sequences Using Any Multi-Associative Neural Networks.
943-946
- Jinwen Ma:
The Memory Capacity of Recurrent Neural Networks for Storing Spatio-Temporal Sequences.
947-950
- Yuichi Sakumura, Kazuyuki Aihara:
Stochastic Resonance by Modulation Detecting Neuron.
951-954
- Yasuyuki Nakamura, A. Ryszard Ferchmin:
Static Properties of a Neural Network Composed of Two Kinds of Neurons.
955-958
- Osamu Araki, Kazuyuki Aihara:
Emergent Synchronous Patterns in a Multilayer Neural Network.
959-962
- Hirohumi Hirayama, Yoshimitsu Okita:
A Method to Evaluate Associated Temporal Activity of a Neural Group Characterized by Different Activation Levels.
963-968
- Ryoichi Wada, Shozo Sato, Kazutoshi Gohara:
Fractal Structure of Linear Recurrent Neural Networks with Temporal Input.
969-972
- Xiaochuan Pan, Yun-jiu Wang, Xiang-lin Qi:
The Inhibition beyond the Receptive Field of Visual Cortical Neuron.
973-976
- Yukifumi Sigematsu:
Characteristics Improved by Noise in Pulse Neural Cell Model.
977-980
- Mitsuo Takase:
Plastic Effect of Feedback Connections to Memory Compression and Formation of Knowledge Structure Based on Hebb Rule and Inhibitory Cells.
981-986
Soft Computing & Optimization & Learning
- So-Young Jeong, Minho Lee, Soo-Young Lee:
Hybrid Learning Algorithm for Curvature Smoothing.
987-990
- Masayuki Mochizuki, Haruyuki Minamitani:
Learning Algorithm for Intermodular Connection Networks for Multimodular Associative Networks.
991-994
- Manabu Kotani, Naoki Shiba, Kenzo Akazawa:
Application of Evolved Neural Networks to Real World Task.
995-998
- Shakeel Ismail, Masahiro Nagamatu, Torao Yanaru:
Largrange Programming Neural Network for Wire Routing Problem.
999-1003
- Itaru Nagayama, Hirotako Haneji, Tomio Takara:
Reliability Estimation of Electrical Parts by Using Evolutionary Neural Computation.
1004-1007
- Sang-Hoon Oh, Soo-Young Lee:
Accelerating the Learning Speed of Multilayer Perceptrons with a New Error Function for Hidden Layer.
1008-1011
Prediction
- Taeho C. Jo:
Neural Approach to Time Series Prediction with Noise Addition.
1012-1015
- Min Jang, Sungzoon Cho, Patrick M. Wong, Chun Che Fung, Kok Wai Wong:
Rock Porosity Prediction Using Multilayer Perceptrons.
1016-1019
- Takashi Matsumoto, Hiroaki Hamagishi, Junjiro Sugi, Motoki Saito:
Chaotic Time Series Prediction via Hierarchical Bayesian Neural Net.
1020-1023
- Alexandra I. Cristea, Toshio Okamoto:
The Development of a Feedforward NN for Financial Time Series Forecasts.
1024-1027
- Ralf Herrmann, Martin Kreidler, Detlef Seese, Kai Zabel:
A Fuzzy-Hybrid Approach to Stock Trading.
1028-1032
- Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville:
Model Comparison for Monthly Forecasts of the CAC 40.
1033-1036
- Taeho C. Jo:
Forecasting Precipitation with Integrated and Separated pattern Generation Using Virtual Terms for MLP Training.
1037-1040
- Yutao Wang, Jianchang Zhou, Shi Wang:
Neural Network for Time series Prediction and Its Application.
1041-1044
- Zhaoyun Shi, Yoshiyasu Tamura, Tohru Ozaki:
RBF Neural Network is more Suitable for Function Approximating than Modeling in Nonlinear Time Series Analysis.
1045-1048
- Ho Yin Kwok, Chi-Ming Chen, Lei Xu:
Comparison between Mixture of ARMA and Mixture of AR Model with Application to Time Series Forecasting.
1049-1052
Image Processing
- Koji Miyazaki, Hirotaka Nakayama:
Facial Expression Synthesis by Caricature.
1053-1056
- Tetsuya Takaoka, Masanori Izumida, Kenji Murakami:
A Study of the ART1 Classification Method without Depending on the Presentation Order of Patterns.
1057-1060
- Bing Zhang, Mehdi N. Shirazi, Hideki Noda:
A Robust Segmentation Algorithm for the MRF Texture Images and Its Implementation by a Neural Circuitry.
1061-1064
- Ponnuthurai N. Suganthan, Nikhil R. Pal:
Pattern Classification Using Multiple SOMs.
1065-1068
- Satoshi Mistuyama, Jun Motoike, Hitoshi Matsuo:
Adaptive Classification of Untypical Urinary Sediment Images Using Feedback Learning.
1069-1072
- Kouji Tanaka, Tatsuya Sekiguchi, Kumiko Kawamoto, Masahiro Okamoto:
Recognition System of Pattern Similarity in Time Series Signals Using Neural Network being Composed of "Biochemical Neurons".
1073-1077
- Tomonori Hayashi, Kenji Nagasaka:
Gray Scale Picture Transform into Binary Picture by Hopfield Neural Network.
1078-1081
- Masashi Nakamura, Syusaku Kodama, Noboru Kitamura, Masayoshi Umeno:
Vision Supporting System for Car Driver using Neural Network.
1082-1085
Pattern Recognition
Robotics & Control
Other Applications
- Petri Salmela, Mikko Lehtokangas, Jukka Saarinen:
Noisy Digit Recognition with MLP and HMMS Using Modified Cost Function in MCE Training.
1118-1121
- Kazuyuki Iwamoto, Heizo Tokutaka, Kazuhiro Yoshihara, Kikuo Fujimura, Toru Watanabe, Satoru Kishida:
Application of SOM to Quantitative Chemical Data Analysis.
1122-1125
- Monica Bianchini, Stefano Fanelli, Marco Gori:
An Application of ELISA to Perfect Hashing with Deterministic Ordering.
1126-1129
- Steven J. Cavill, Marylin L. Vaughn, Stewart J. Taylor, Michael A. Foy, Anthony J. B. Fogg:
Interpretation and Knowledge Discovery from the MLP Network that Performs Low Back Pain Classification.
1130-1133
- Xu Wei, Zhu Xiaoyan:
A New Model of Recurrent Neural Networks for Speech Recognition.
1134-1137
- Minoru Motoki, Yoshio Shimazu:
Connectionist Parser for Japanese sentence with Embedded Clauses.
1138-1140
- Nobusuke Sasaki, Yasuji Sawada:
Neural Networks for Tsume-Go Problems.
1141-1144
- Takehiko Ogawa, Yukio Kosugi, Hajime Kanada:
Bispectrum Estimation by Recurrent Network with Third-Order Moment Controllable Noise Source.
1145-1148
- Koji Akatsuka, Hiroshi Tsujino:
Evaluation of the PCA Encoding Ability in Speech Recognition.
1149-1152
- Jae-Hoon Jeong, Soo-Young Lee:
Speaker Adaptation Based on Spectral Transformation with Limited Adaptation Words.
1153-1156
- Yugi Yata, Heizo Tokutaka, Kikuo Fujimura:
Learning of Simple Oscillating Wave Form by Adaptive Subspace SOM.
1157-1159
- H. Elfawal-Mansour, D. Georges, G. Bornard:
Identification of a Real Open-Channel Irrigation System Using a Neural Network Model.
1160-1163
- Hiroki Aoki, Toshimichi Saito:
A SOM with Virtual Connection and Its Application to Fuzzy Systems.
1164-1167
- Juan Moreno García, Gabriel Sebastián, Miguel Angel Fernández, Antonio Fernández-Caballero:
A Telephone Number Corrector Using a Counterpropagation Network.
1168-1171
- Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern.
1172-1175
Volume 3
Plenary Lecture 3
- Mitsuo Kawato:
Multiple Paired Forward-Inverse Models in the Cerebellum.
1177-1180
Special Panel Session 2
Dynamic Brain 5
Learning 1
Neurobiological Basis of Brain Function 1
Single Neuron Model and Temporal Coding
- Hidekazu Fukai, Yoshinobu Maeda, Khashayar Pakdaman, Taishin Nomura, Shunsuke Sato:
Double Impulse Solutions in Reduced Hodgkin-Huxley Models.
1263-1266
- Algis Garlauskas:
Modeling of Synapse-Dendrite-Soma Computational Brain Functions.
1267-1272
- Kazutaka Someya, Atsushi Fujita, Katsutoshi Saeki, Yoshifumi Sekine, Kazuyuki Aihara:
Effects on an Active Feature on Neurodynamics and Chaotic Phenomena by Active Axon.
1273-1276
- Wakako Hashimoto, Kazuyuki Aihara:
Does a Spiking Neuron Operate Like a Radial Basis Function?
1277-1280
- Ryoko Futami, Nozomu Hoshimiya:
A Model of Neural Short-Term Memory for Time-coded Patterns.
1281-1284
- Ken-ichi Amemori, Shin Ishii:
Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information.
1285-1288
Attentive Vision
Neural Basis of Hearing - Towards New Experiments and Models of Auditory Processing
Prediction
Dynamic Brain 6
Learning 2
Neurobiological Basis of Brain Function 2
- Byung Hoon Bae, Jung Mi Choi, Soo Young Kim:
Noninvasive Measurement of Human Brain Activity using Brain-Conductivity Probe.
1409-1413
- Ken'ichi Kamijo, Tomoharu Kiyuna, Toshimasa Yamazaki:
Application of PDM Digital Neural Network System to Real-Time Brain Activity Source Localization.
1414-1417
- Shuji Akiyama, Toshio Iijima:
A Neuro-Network Processing to Recognize Functional Regions from Distributed Neural Activities.
1418-1421
- Hiroaki Okamoto, Susuma Kawakami, Hide-aki Saito, Eiki Hida, Keiichi Odajima, Daichi Tamanoi, Hiroshi Ohno:
Physiological Validation of Bimodal Direction Tunings Predicted by a Motion Detection Model in Area MT of Monkey.
1422-1425
- Y. Yamaguchi, Y. Kanzaka, F. Tanaka, J. Horikawa, I. Taniguchi:
Bifurcation of Wave Propagation as a Base of Dynamical Linking in Auditory Recognition.
1426-1429
Non-Linear Dynamics and Associative Memory
Cognitive Mechanisms
Neural Basis of Hearing - Towards new Experiments and Models of Auditory Processing
Distributed Processing Systems 3
Poster Session 3:
Neuro-biological Basis of Brain Functions
- Tatsuo Kitajima, Ken-ichi Hara:
Roles of Back-Propagating Action Potential in Synaptic Modifications.
1513-1516
- Hiroshi Okamoto, Kazuhisa Ichikawa:
A Model for Synaptic Competition for a Finite Resource.
1517-1520
- Toshihiro Aoyama, Yoshimi Kamiyama, Shiro Usui, Roman Blanco, Pedro de la Villa, Cecilia F. Vaquero:
Ionic Current Model of Rabbit Retinal Horizontal Cell.
1521-1524
- Nicolas Schweighofer, Kenji Doya, Mitsuo Kawato:
A Model of the Electrophysiological Properties of the Inferior Olive Neurons.
1525-1528
- Yuki Kobayashi, Takeshi Aihara, Hironori Matsuda, Hiroshi Sasaki, Minoru Tsukada:
Spatial Distribution of LTP and LTD Simultaneously Induced by Temporal-Pattern Stimuli in Hippocampal CA1 Area.
1529-1532
- Katsumi Tateno, Hatsuo Hayashi, Satoru Ishizuka:
Spontaneous Spatiotemporal Activity of a Hippocampal CA3 Network Model Which Depends on the Connectivity.
1533-1536
- Kiyohisa Natsume, Kaoru Kometani:
Desynchronization of Theta-Like Activity in Guinea-Pig Hippocampal Slices.
1537-1540
- Koushi Nakashima, Hatsuo Hayashi, Satoru Ishizuka:
A Local Area where Polysynaptic LTP is Induced in Longitudinal Rat Hippocampal CA3 Slices is Highly Responsive to Weak Stimulation.
1541-1546
- Jun Yamamoto, Mizuki Okanda, Hiroshi Sasaki, Minoru Tsukada, Yuichiro Anzai:
The Effect of Hippocampal Activity to Auditory Evoked Responses in Guinea Pig Revealed by Optical Imaging.
1547-1550
- Eiki Hida, Hide-aki Saito, Hiroshi Ohno, Keiichi Odajima, Daichi Tamanoi:
Neural Correlate for the Perception of Two-Directional Transparent Visual Flow.
1551-1554
- Susumu Takahashi, Jun Yamamoto, Yuichiro Anzai:
Visualization Tools for Firing Correlation Based on the Joint-PSTH.
1555-1558
- Hideyuki Suzuki, Kazuyuki Aihara, Jun Murakami, Tateo Shimozawa:
An Application of ISI Reconstruction to Sensory Neurons of Crickets.
1559-1562
- Takashi Tateno, Yasuhiko Jimbo, Akio Kawana:
Characterizing the Spontaneous Activity in Developing Networks of Cultured Rat Cortical Neurons.
1563-1566
Learning
- Mikko Lehtokangas:
On Training of MLP with Adaptive Neuron Specific Preprocessing Units.
1567-1570
- Mikko Lehtokangas:
Initialization of MLP with Adaptive Neuron Specific Preprocessing Units.
1571-1574
- Yan Shi, Masaharu Mizumoto, Peng Shi:
On Designing of Learning Rates in the Neuro-Fuzzy Learning Algorithm.
1575-1578
- Nobuyuki Matsui, Koichi Fujiwara, Teijiro Isokawa:
A Neural Network Model Based on BP Learning with Stochastic Resonance.
1579-1582
- Mahdad Nouri Shirazi, Hideki Noda, Ikuo Yonemoto, Hidefumi Sawai:
A Growing Algorithm for Training of RBF Density Estimation Network.
1583-1586
- Yoshihiro Hayakawa, Yasuji Sawada:
Local Feature Learning Algorithm for High Speed Learning.
1587-1590
- Marghny H. Mohamed, Akito Ohkubo, Teruya Minamoto, Koichi Niijima:
Learning of Three Layer Neural Networks Based on Domains of Attraction.
1591-1594
- Hiroshi Shiratsuchi, Hiromu Gotanda, Katsuhiro Inoue, Kousuke Kumamaru:
A Study on Initialization for BP Networks.
1595-1599
- Phil D. Picton:
Training a Fuzzy Classifier Using Back-Propagation.
1600-1603
- Koji Okuhara, Shunji Osaki:
Elimination of Redundant Neurons by Competitive Radial Basis Function Networks.
1604-1607
- Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba:
Design of Modular Neural Network Architectures Using Genetic Algorithms.
1608-1611
- Peter Géczy, Shiro Usui:
Deterministic Approach to Dynamic Sample Selection.
1612-1615
- Chan-Ho Park, Hyon-Soo Lee:
Self-Organized Supervised Learning with Local Projection and Pattern Clustering.
1616-1621
- Kanad Keeni, Kenji Nakayama, Hiroshi Shimodaira:
Automatic Generation of Initial Weights and Target Outputs of Multilayer Neural Networks and Its Application to Pattern Classification.
1622-1625
Distributed Processing Systems
- Xiang Yu, Masumi Ishikawa, Huisheng Chi:
Rule Extraction from Data by Combining a Structural Learning with Forgetting and Linear Discriminant Functions.
1626-1629
- Chi Fang, Mingsheng Zhao, Youshou Wu, Xiaoqing Ding:
Construct H-MFNN by Complexity Reduction Approach.
1630-1633
- Algis Garliauskas:
Control Distributed Parameter Systems with Neural Network Based on Orthogonality.
1634-1636
- Francesco E. Lauria, R. Prevete, M. Milo, S. Visco:
A Boolean Neural Network as a Rule Based System Learning New Rules by Examples.
1637-1642
- Peng Shi, El Kebir Boukas, Yan Shi, Ramesh K. Agarwal:
Disturbance Attenuation for Systems Governed by Markov Decision Processes.
1643-1646
- C. Yalçin Kaya, Peng Shi, Yan Shi:
Kalman Filtering Design for Nonlinear Systems with Parametric Uncertainties.
1647-1650
- Seiji Ishihara, Takashi Nagano:
A Modular Type Network for Incremental Learning.
1651-1654
- Frederic Hamel, Hefin Rowlands:
S-Fuzzy ART, Adaptation of Fuzzy ART to Non-Parallel Systems.
1655-1658
- Ingrid Anderson, Kazunori Miyamoto, Torao Yanaru:
Event Sequence Data Mining in Temporal Databases.
1659-1661
- Toshiki Kindo, Hideyuki Yoshida, Taisuke Watanabe:
Personal Information Filtering System - An Application of Associative Memory.
1662-1665
- Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Extracting Rules from Boolean Neural Networks.
1666-1669
- Zhenquan Li, Masahiro Nishikawa, Akira Ichikawa:
The Choices of Weights and Biases of Fuzzy Neural Networks Based on Fuzzy Number Operations.
1670-1673
Last update Tue May 21 17:03:26 2013
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