Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
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NLP2009-14
Dependency between the Survival Density and Initial Configuration of the Stochastic Game of Life
Ryo Higashinakagawa, Takeshi Kawabata (Kwansei Gakuin Univ.)
pp. 1 - 6
NLP2009-15
Composition of Feature Space and State Space Dynamics Models for Model-based Reinforcement Learning
Akihiko Yamaguchi, Jun Takamatsu, Tsukasa Ogasawara (NAIST)
pp. 7 - 12
NLP2009-16
Acceleration of Learning Process of Self-Organizing Maps Using Asymmetric Neighborhood Functions
Kaiichiro Ota, Takaaki Aoki (Kyoto Univ.), Koji Kurata (Univ. of the Ryukyus), Toshio Aoyagi (Kyoto Univ.)
pp. 13 - 18
NLP2009-17
Recurrent Infomax in neuronal network with various firing rate and reliability
Takuya Hori, Takuma Tanaka, Toshio Aoyagi (Kyoto Univ.)
pp. 19 - 24
NLP2009-18
Learning to imitate stochastic time series in a compositional way by chaos
Jun Namikawa, Jun Tani (RIKEN)
pp. 25 - 30
NLP2009-19
Trade-off between cell-to-cell synchtonization and trial-to-trial reliability in recurrent networks of spiking neurons
-- Noise-induced synchoronization between nonlinear systems --
Jun-nosuke Teramae, Tomoki Fukai (RIKEN)
pp. 31 - 32
NLP2009-20
Minimum Conditional Entropy Principle Inferred from Irregular Firing of in Vivo Cortical Neurons
Yasuhiro Tsubo, Yoshikazu Isomura, Tomoki Fukai (RIKEN BSI)
pp. 33 - 35
NLP2009-21
Estrus Detection of Cattle by Activity using Neural Network
Ryosuke Kawakami, Toru Watanabe (Matsue College of Technology), Makoto Dohi (Shimane Univ.), Motoi Nakashima (Innovit)
pp. 37 - 42
NLP2009-22
An interpretation of same-object advantage as spreading spatial attention
Satoshi Nishida, Tomohiro Shibata, Kazushi Ikeda (NAIST)
pp. 43 - 48
NLP2009-23
Estimation of Driving State by Modeling Brake Pressure Signals
Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata (NAIST), Naoki Fukaya, Kentaro Hitomi, Takashi Bando (DENSO)
pp. 49 - 53
NLP2009-24
Neural representation of observed action in parieto-premotor cortex
-- an fMRI study with multi-voxel pattern analysis --
Kenji Ogawa (JST), Toshio Inui (JST/Kyoto Univ.)
pp. 55 - 60
NLP2009-25
Uncorrelated inputs driven correlations in sub-Boolean Networks
Chikoo Oosawa (Kyushu Inst. of Tech.)
pp. 61 - 66
NLP2009-26
Solving Sink Node Allocation Problems for Long-term Operation of Wireless Sensor Networks Using Suppression PSO
Masaki Yoshimura, Hidehiro Nakano, Akihide Utani, Arata Miyauchi, Hisao Yamamoto (Tokyo City Univ.)
pp. 67 - 71
NLP2009-27
An Effcient Flooding Scheme Using Chaotic Neural Networks in Wireless Sensor Networks
Tomoyuki Sasaki, Hidehiro Nakano, Akihide Utani, Arata Miyauchi, Hisao Yamamoto (Tokyo City Univ.)
pp. 73 - 76
NLP2009-28
ART-based Parallel Ant Colony Optimizer: An application to TSP
Hiroshi Koshimizu, Toshimichi Saito (Hosei Univ.)
pp. 77 - 81
NLP2009-29
A competitive PSO based on evaluation with priority for finding plural solutions
Yu Taguchi, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.)
pp. 83 - 86
NLP2009-30
Speeding up multi-agent reinforcement learning using a ring-type state recognition method
Kyohei Ono, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.)
pp. 87 - 91
NLP2009-31
On the Posterior Distribution of HMMs for a Long Sequence
Keisuke Yamazaki (Tokyo Inst. of Tech.)
pp. 93 - 98
NLP2009-32
Growing particle swarm optimizer with a population-dependent parameter
Chihiro Kurosu, Toshimichi Saito (Hosei Univ.), Kenya Jin'no (Nippon Inst. of Tech.)
pp. 99 - 103
NLP2009-33
Basic bifurcation phenomena of a simple switched dynamical system based on photovoltaic systems
Daisuke Kimura, Toshimichi Saito (Hosei Univ.)
pp. 105 - 108
NLP2009-34
Decoding Characteristics of D/A converters based on Spiking Neurons
Masao Takiguchi, Toshimichi Saito (Hosei Univ.)
pp. 109 - 112
NLP2009-35
Bifurcation Phenomena of Integrate-and-fire Model with Spike-Train Input
Shimon Teshima, Toshimichi Saito (Hosei Univ.)
pp. 113 - 116
NLP2009-36
Bifurcation phenomena of coupled spiking neurons with time delay
Kozo Hisamatsu, Toshimichi Saito (Hosei Univ.)
pp. 117 - 121
NLP2009-37
Synchronization in coupled fast-spiking neuron model.
Eri Ioka (Kagawa Univ.), Kunichika Tsumoto (Osaka Univ.), Hiroyuki Kitajima (Kagawa Univ.)
pp. 123 - 126
NLP2009-38
Statistical Mechanics of Node-perturbation learning
Kazuyuki Hara (Tokyo Metro. Colle. Ind. Eng.), Kentaro Katahira (ERATO), Kazuo Okanoya (RIKEN), Masato Okada (Tokyo Univ.)
pp. 127 - 132
NLP2009-39
Analysis for Stability of Attractor Neural Network Model for IT Cortex
-- Relation between attractor's stability and learning order --
Tomoyuki Kimoto (Oita Col. Tech.), Tatsuya Uezu (Nara Women's Univ.), Masato Okada (niv. of Tokyo,)
pp. 133 - 138
NLP2009-40
Influence of Neural Refractory Period on Phase Response Curve
Munenori Iida, Toshiaki Omori (Univ. of Tokyo), Toru Aonishi (Tokyo Tech.), Masato Okada (Univ. of Tokyo)
pp. 139 - 144
NLP2009-41
Comparison of pseudorandom numbers generators using chaos and Mersenne Twister
-- statistical comparison of the pseudo random number sequences --
Satoshi Kawamura (Ishinomaki Senshu Univ.), Kazuya Tadano (TSR), Takeshi Murakami, Hitoaki Yoshida (Iwate Univ.), Mamoru Miura (Future University-Hakodate)
pp. 145 - 150
NLP2009-42
Basic Bifurcation Phenomena of a Resonate and Fire Type Discrete State Spiking Neuron
Tetsuya Hishiki, Hiroyuki Torikai (Osaka Univ.)
pp. 151 - 155
NLP2009-43
Basic characteristics of SOM of spiking neurons
Kai Kinoshita, Hiroyuki Torikai (Osaka Univ.)
pp. 157 - 162
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.