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Technical Committee on Neurocomputing (NC) (Searched in: 2014)
Search Results: Keywords 'from:2015-01-29 to:2015-01-29'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC | 2015-01-29 13:00 |
Fukuoka | Kyushu Institute of Technology | [Invited Talk]
Brain strategy to survive in homeostatic and non-homeostatic environments Shuji Aou (Kyushu Inst. of Tech.) |
[more] | |
| NC | 2015-01-29 14:10 |
Fukuoka | Kyushu Institute of Technology | Stability of mixed rule cellular automata Ryo Sawayama, Toshimichi Saito (HU)  NC2014-57 |
This paper studies the cellular automata with mixed rules (MCA). The mixed rule consists of two special rules of the ele... [more] | NC2014-57 pp.1-6 |
| NC | 2015-01-29 14:35 |
Fukuoka | Kyushu Institute of Technology | Associative memory and amplitude death of hysteresis neural networks Kei Yamaoka, Toshimichi Saito (HU) NC2014-58 |
This paper studies effects of the amplitude death on the storage function of the hysteresis neural network. Applying... [more] |
NC2014-58 pp.7-10 |
| NC | 2015-01-29 15:00 |
Fukuoka | Kyushu Institute of Technology | Metromaps as a Tool for Minimizing Human Interaction with Learning Bayesian Classifiers Marat Zhanikeev (Kyutech) NC2014-59 |
The traditional use of Bayesian classifiers is to have one period of learning followed by continuous application of the ... [more] | NC2014-59 pp.11-14 |
| NC | 2015-01-29 15:40 |
Fukuoka | Kyushu Institute of Technology | Digital Hardware Implementation of Pulse-Coupled Phase Oscillator Networks and Its Application Hakaru Tamukoh, Yasuhiro Suedomi, Kenji Matsuzaka, Michio Tanaka, Takashi Morie (Kyutech) NC2014-60 |
[more] | NC2014-60 pp.15-20 |
| NC | 2015-01-29 16:05 |
Fukuoka | Kyushu Institute of Technology | Robustness of Tensor SOM for Missing Data Yasuhiro Wakita, Toru Iwasaki, Tetsuo Furukawa (Kyutech) NC2014-61 |
Tensor SOM is an extension of the self-organizing map (SOM), which enables us to visualize simultaneous visualization of... [more] | NC2014-61 pp.21-26 |
| NC | 2015-01-29 16:30 |
Fukuoka | Kyushu Institute of Technology | Implementation of the higher-rank of SOM using formal neurons Yuta Saho, Kiyohisa Natsume, Tetsuo Furukawa (Kyutech) NC2014-62 |
The purpose of this work is building a neural network model which performs meta-model learning. The term `meta-model lea... [more] | NC2014-62 pp.27-32 |
| NC | 2015-01-29 16:55 |
Fukuoka | Kyushu Institute of Technology | Model Learning of Multiple Tasks of Developmental Scales using Inductive Logic Programming Yuki Tsuru, Hideaki Itoh, Hisao Fukumoto, Hiroshi Wakuya (Saga Univ.) NC2014-63 |
Making a robot that is as versatile as human beings is a great technical challenge. To make such a versatile intelligen... [more] |
NC2014-63 pp.33-37 |
| NC | 2015-01-30 10:00 |
Fukuoka | Kyushu Institute of Technology | Effect on electroencephalogram of heart sound Hiroki Nakatsuka (Kyusyu Inst of Tech.), Yasumi Kawano, Saori Matsuda (Heart Best), Kiyohisa Natsume (Kyusyu Inst of Tech.) NC2014-64 |
In the present study, the effect of heart sound on electroencephalogram (EEG) was studied. Before the experiment, the he... [more] | NC2014-64 pp.39-45 |
| NC | 2015-01-30 10:25 |
Fukuoka | Kyushu Institute of Technology | Winner-Take-All neural network with DPLL considering scalability Masaki Azuma, Hiroomi Hikawa (Kansai Univ.) NC2014-65 |
This paper proposes a hardware winner-take-all neural network (WTANN) that employs a new winner-take-all (WTA) circuit w... [more] | NC2014-65 pp.47-52 |
| NC | 2015-01-30 10:50 |
Fukuoka | Kyushu Institute of Technology | Model selection of early vision system of Drosophila melanogaster II Hideaki Ikeda, Yoshinori Suzuki (Tokyo Tech), Takako Morimoto (Tokyo Univ. of Pharmacy and Life Sciences), Toru Aonishi (Tokyo Tech) NC2014-66 |
Motion detection cell models of fly’s early visual system have been proposed. Several models dealing with functions of L... [more] | NC2014-66 pp.53-58 |
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