Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
[TOP] | [2008] | [2009] | [2010] | [2011] | [2012] | [2013] | [2014] | [Japanese] / [English]
NC2011-97
Storage capacity of the associative memory model with the zero-order synaptic decay
Ryota Miyata (Tokyo Tech.), Jun Tsuzurugi (Okayama Univ. Sci.), Toru Aonishi (Tokyo Tech.), Koji Kurata (Univ. Ryukyu.)
pp. 1 - 6
NC2011-98
Influence on the Storage Capacity by the Difference Between Network Structure and a Pattern Set
Masaya Nakakura, Keisuke Terayama, Yukari Yamauchi (NU)
pp. 7 - 12
NC2011-99
Study on Sequential Associative Memory in Chaos Neural Network
Yoshiaki Sato, Yukari Yamauchi (Nihon Univ.)
pp. 13 - 18
NC2011-100
Statistic and dynamics of the Hopfield model with unlearning term
Haruka Otani, Midori Yoshida, Tatsuya Uezu (Nara Woman's Univ.)
pp. 19 - 24
NC2011-101
Bifurcation of Simple Pulse-Coupled Spiking Neurons for Shape of Base Signals
Shota Kirikawa, Takashi Ogawa, Toshimichi Saito (HU)
pp. 25 - 29
NC2011-102
Analysis of Self-Organizing Digital Spike Phase Maps
Narutoshi Horimoto, Takashi Ogawa, Toshimichi Saito (HU)
pp. 31 - 35
NC2011-103
Comparison and Evaluation of Growing Complex Network Generated by Similarities
Keisuke Terayama, Yukari Yamauchi (NU)
pp. 37 - 42
NC2011-104
[Invited Talk]
Grand Challenge in Artificial Intelligence
Hitoshi Matsubara (FUN)
pp. 43 - 46
NC2011-105
A recurrent network for multisensory integration
-- Identification of common sources of audiovisual stimuli --
Itsuki Yamashita (Tokyo Univ.), Kentaro Katahira (JST), Yasuhiko Igarashi (Tokyo Univ.), Kazuo Okanoya (JST), Masato Okada (Tokyo Univ.)
pp. 47 - 52
NC2011-106
Cluster analysis and Gaussian mixture estimation of correlated time-series by means of multi-dimensional scaling
Takero Ibuki (Hokkaido Univ.), Sei Suzuki (Aoyama-Gakuin Univ.), Jun-ichi Inoue (Hokkaido Univ.)
pp. 53 - 58
NC2011-107
The learning theory and algorithm of latent multi-dynamical systems
-- Implementation by higher-order topographic mapping --
Tetsuo Furukawa, Takashi Ohkubo (Kyutech)
pp. 59 - 64
NC2011-108
Critical phenomena in mean-field Ising models and time-series prediction
Shunsuke Higano, Jun-ichi Inoue (Hokkaido Univ.)
pp. 65 - 70
NC2011-109
A statistical analysis of soft-margin support vector machines for non-separable problems
Hiroyuki Funaya, Kazushi Ikeda (NAIST)
pp. 71 - 76
NC2011-110
A Study on Approximate Probabilistic Reasoning Algorithm for assuring and correcting accuracy results on Bayesian Networks
Shuhei Wakasaki, Daisuke Kitakoshi, Masato Suzuki (TNCT)
pp. 77 - 82
NC2011-111
On the Relationship between Learning Coefficient for Bayesian Estimation and Average of Acceptance Rate for Metropolis Algorithm
Kenji Nagata (The Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN)
pp. 83 - 88
NC2011-112
Analysis of evoked potentials to auditory pair stimuli for estimation of uncomfortable loudness level
Kohei Fujii (NAIST), Shinobu Adachi, Koji Morikawa (Panasonic), Kazushi Ikeda (NAIST)
pp. 89 - 93
NC2011-113
Decoding performance of quantum fluctuation for Sourlas code
Yosuke Otsubo (Univ. of Tokyo), Jun-ichi Inoue (Hokkaido Univ.), Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN)
pp. 95 - 100
NC2011-114
Tensor decomposition based on self-organizing map
Toru Iwasaki, Saori Wada, Tetsuo Furukawa (KIT)
pp. 101 - 106
NC2011-115
Analysis of Time Series Data Accompanied with Rewards and Actions using Reinforcement Learning
Hideki Asoh, Masanori Shiro, Toshihiro Kamishima, Shotaro Akaho (AIST), Takahide Kohro (Univ. Tokyo)
pp. 107 - 112
NC2011-116
A Method to Improve Efficiency of Reinforcement Learning by Using a Vector Representation of a Policy
Daiki Ando, Daisuke Kitakoshi, Masato Suzuki (TNCT)
pp. 113 - 118
NC2011-117
Rotations of Preferred Directions Facilitate Recovery Process in Damaged Motor Cortex
Ken Takiyama (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN)
pp. 119 - 124
NC2011-118
The M-best Discrete Optimization Method for Sparsely Connected Multi-body Model
Masashi Kato, Masato Inoue (Waseda Univ.)
pp. 125 - 130
NC2011-119
Higher order correlation in a feedforward network with Mexican-hat-type connectivity
Yasuhiko Igarashi, Masato Okada (Tokyo Univ.)
pp. 131 - 135
NC2011-120
Neural Network Model with Sparse and Local Excitation
Akira Manda (Univ of Tokyo), Toshiaki Omori (Univ of Tokyo/RIKEN), Jun Kitazono (Univ of Tokyo/JSPS), Masato Okada (Univ of Tokyo/RIKEN)
pp. 137 - 142
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.