Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
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NC2009-71
[Invited Talk]
Noise-driven Computing on Neuromorphic VLSIs
Tetsuya Asai (Hokkaido Univ.)
pp. 1 - 6
NC2009-72
A study of the timing mechanism in a cerebellar network model implemented on FPGA
Kanako Matsuno (UEC), Takeru Honda (UEC/RIKEN), Hideaki Manabe (UEC), Shigeru Tanaka (UEC/RIKEN), Tetsuro Nishino (UEC)
pp. 7 - 12
NC2009-73
Brain mechanisms of dynamic image generation based on body schema(1)
Toshio Inui (Kyoto Univ.), Yoko Yamaguchi (RIKEN), Naoyuki Sato (Future Univ-Hakodate), Hiroaki Mizuhara, Takafumi Sasaoka, Nobuhiko Asakura (Kyoto Univ.)
pp. 13 - 18
NC2009-74
Shape group representation using higher-rank SOM with affine-invariant distance measure
Sho Yakushiji, Takashi Ohkubo, Tetsuo Furukawa (Kyushu Inst. of Tech.)
pp. 19 - 24
NC2009-75
Learning Machine having Curiosity
-- Sequential Learning and Model Selection under Unstable Environments --
Koichiro Yamauchi (Chubu University)
pp. 25 - 30
NC2009-76
Rigorous Calculation Method of Bayes Marginal Likelihood in Normal Mixture
Tetsutaro Yamada, Keisuke Yamazaki, Sumio Watanabe (Tokyo Inst. of Tech.)
pp. 31 - 36
NC2009-77
Necessary Data Length for HMMs Based on the Vicarious Bayes Learning
Keisuke Yamazaki (Tokyo Inst. of Tech.)
pp. 37 - 42
NC2009-78
On Generalizaition Errors of Self-organizing Map
Fumiaki Saitoh, Sumio Watanabe (Tokyo Inst. of Tech.)
pp. 43 - 48
NC2009-79
On learning characteristics of binary neural networks with fuzziness tolerance
Shutaro Kabeya, Toshimichi Saito (Hosei Univ.)
pp. 49 - 54
NC2009-80
Response of a vibrate-and-fire spiking neuron circuit to spike-train input
Yuji Kawai, Toshimichi Saito (Hosei Univ.)
pp. 55 - 59
NC2009-81
Artificial spiking neuron of characteristics
Shimon Teshima, Toshimichi Saito (Hosei univ.)
pp. 61 - 64
NC2009-82
Effective common input for pattern transition in a pulse associative memory model
Keiko Ishimaru, Masaki Kawamura (Yamaguchi Univ.)
pp. 65 - 70
NC2009-83
Hidden Structures Detection in Nonstationary Spike Trains
Ken Takiyama (Univ. of Tokyo.), Masato Okada (Univ. of Tokyo./RIKEN)
pp. 71 - 76
NC2009-84
An Estimator Based on Empirical Likelihood and Its Properties
Manabu Takeda (Kyoto Univ.), Kazushi Ikeda, Takashi Takenouchi (NAIST), Yuki Yoshida (Osaka Univ.)
pp. 77 - 81
NC2009-85
Analysis of the Difference of Food Menu Preference Between Supposed and Real Situations
Hideki Asoh, Yoichi Motomura (AIST), Chihiro Ono (KDDI Labs)
pp. 83 - 88
NC2009-86
An Extension of Matrix Factorization to Mixture Model and an Application to Prediction of Movie Ratings
Masayoshi Nakamura, Takashi Takenouchi, Kazushi Ikeda (NAIST)
pp. 89 - 93
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.