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Technical Committee on Neurocomputing (NC) (Searched in: 2009)
Search Results: Keywords 'from:2009-07-13 to:2009-07-13'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, NLP | 2009-07-13 09:30 |
Nara | NAIST | Limiting eigenvalue distribution of sparse random covariance matrices Tomoya Fukumoto, Toshiyuki Tanaka (Kyoto Univ.) |
[more] | |
| NC, NLP | 2009-07-13 10:00 |
Nara | NAIST | Dependency between the Survival Density and Initial Configuration of the Stochastic Game of Life Ryo Higashinakagawa, Takeshi Kawabata (Kwansei Gakuin Univ.)  NLP2009-14 NC2009-7 |
This paper describes the new framework of the stochastic game of life. It is difficult to control the survival density o... [more] | NLP2009-14 NC2009-7 pp.1-6 |
| NC, NLP | 2009-07-13 10:30 |
Nara | NAIST | Composition of Feature Space and State Space Dynamics Models for Model-based Reinforcement Learning Akihiko Yamaguchi, Jun Takamatsu, Tsukasa Ogasawara (NAIST) NLP2009-15 NC2009-8 |
Learning a dynamics model and a reward model during reinforcement learning is a useful way, since the agent can also upd... [more] | NLP2009-15 NC2009-8 pp.7-12 |
| NC, NLP | 2009-07-13 11:00 |
Nara | NAIST | 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.) NLP2009-16 NC2009-9 |
In primary sensory cortices, there exists a significant ordered structure called a topographic map. The self-organizing ... [more] | NLP2009-16 NC2009-9 pp.13-18 |
| NC, NLP | 2009-07-13 11:30 |
Nara | NAIST | Recurrent Infomax in neuronal network with various firing rate and reliability Takuya Hori, Takuma Tanaka, Toshio Aoyagi (Kyoto Univ.) NLP2009-17 NC2009-10 |
[more] | NLP2009-17 NC2009-10 pp.19-24 |
| NC, NLP | 2009-07-13 13:00 |
Nara | NAIST | Learning to imitate stochastic time series in a compositional way by chaos Jun Namikawa, Jun Tani (RIKEN) NLP2009-18 NC2009-11 |
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination ... [more] | NLP2009-18 NC2009-11 pp.25-30 |
| NC, NLP | 2009-07-13 13:30 |
Nara | NAIST | 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) NLP2009-19 NC2009-12 |
We study response reliability of spike firing in a coupled network of neurons receiving fluctuating inputs. We can study... [more] | NLP2009-19 NC2009-12 pp.31-32 |
| NC, NLP | 2009-07-13 14:00 |
Nara | NAIST | Minimum Conditional Entropy Principle Inferred from Irregular Firing of in Vivo Cortical Neurons Yasuhiro Tsubo, Yoshikazu Isomura, Tomoki Fukai (RIKEN BSI) NLP2009-20 NC2009-13 |
Spike sequences recorded from cortical neurons in an awake animal are known to be highly irregular. It is crucial for el... [more] | NLP2009-20 NC2009-13 pp.33-35 |
| NC, NLP | 2009-07-13 14:30 |
Nara | NAIST | Estrus Detection of Cattle by Activity using Neural Network Ryosuke Kawakami, Toru Watanabe (Matsue College of Technology), Makoto Dohi (Shimane Univ.), Motoi Nakashima (Innovit) NLP2009-21 NC2009-14 |
Cattle breeders in Japan are facing problem of declining productivity by missing estrous sign of maternal cows with resu... [more] | NLP2009-21 NC2009-14 pp.37-42 |
| NC, NLP | 2009-07-13 15:10 |
Nara | NAIST | An interpretation of same-object advantage as spreading spatial attention Satoshi Nishida, Tomohiro Shibata, Kazushi Ikeda (NAIST) NLP2009-22 NC2009-15 |
Visual attention has three modes of selection; space-based, feature-based and object-based. In the object-based mode, sa... [more] | NLP2009-22 NC2009-15 pp.43-48 |
| NC, NLP | 2009-07-13 15:40 |
Nara | NAIST | Estimation of Driving State by Modeling Brake Pressure Signals Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata (NAIST), Naoki Fukaya, Kentaro Hitomi, Takashi Bando (DENSO) NLP2009-23 NC2009-16 |
[more] | NLP2009-23 NC2009-16 pp.49-53 |
| NC, NLP | 2009-07-13 16:10 |
Nara | NAIST | 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.) NLP2009-24 NC2009-17 |
Previous research indicates that posterior parietal cortex (PPC) and ventral premotor area (PMv) has a role in understan... [more] | NLP2009-24 NC2009-17 pp.55-60 |
| NC, NLP | 2009-07-13 15:10 |
Nara | NAIST | Uncorrelated inputs driven correlations in sub-Boolean Networks Chikoo Oosawa (Kyushu Inst. of Tech.) NLP2009-25 NC2009-18 |
We propose an analyzing and comparing method for 12 different sub-Boolean networks that have three nodes. By applying ra... [more] | NLP2009-25 NC2009-18 pp.61-66 |
| NC, NLP | 2009-07-13 15:40 |
Nara | NAIST | 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.) NLP2009-26 NC2009-19 |
To realize long-term operation of WSNs, we discuss in this study a method of suppressing the communication load on senso... [more] | NLP2009-26 NC2009-19 pp.67-71 |
| NC, NLP | 2009-07-13 16:10 |
Nara | NAIST | 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.) NLP2009-27 NC2009-20 |
Recently, Wireless Sensor Network (WSN) has been studied with a great amount of interests. In WSN, flooding is required ... [more] | NLP2009-27 NC2009-20 pp.73-76 |
| NC, NLP | 2009-07-13 16:50 |
Nara | NAIST | [Invited Talk]
Invited Lecture Susumu Takahashi (Kyoto Sangyo Univ) |
[more] | |
| NC, NLP | 2009-07-14 09:30 |
Nara | NAIST | ART-based Parallel Ant Colony Optimizer: An application to TSP Hiroshi Koshimizu, Toshimichi Saito (Hosei Univ.) NLP2009-28 NC2009-21 |
We consider a optimization algorithm of ART-based paralleled Ant Colony Optimization (ACO) and its application to Travel... [more] | NLP2009-28 NC2009-21 pp.77-81 |
| NC, NLP | 2009-07-14 10:00 |
Nara | NAIST | A competitive PSO based on evaluation with priority for finding plural solutions Yu Taguchi, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2009-29 NC2009-22 |
It is known that Particle Swarm Optimization (PSO) is a kind of evolutionary algorithm that can efficiently find the sol... [more] | NLP2009-29 NC2009-22 pp.83-86 |
| NC, NLP | 2009-07-14 10:30 |
Nara | NAIST | Speeding up multi-agent reinforcement learning using a ring-type state recognition method Kyohei Ono, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2009-30 NC2009-23 |
Recently, design of actions in complex and large-scale robot networks has been required. However, it is difficult to c... [more] |
NLP2009-30 NC2009-23 pp.87-91 |
| NC, NLP | 2009-07-14 11:00 |
Nara | NAIST | On the Posterior Distribution of HMMs for a Long Sequence Keisuke Yamazaki (Tokyo Inst. of Tech.) NLP2009-31 NC2009-24 |
Hidden Markov models (HMMs) are widely applied to analysis of time-dependent data sequences, such as non-linear signal p... [more] | NLP2009-31 NC2009-24 pp.93-98 |
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