| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| NC |
2007-03-15
10:30 |
Tokyo |
Tamagawa University |
Reproduction of Human Arm's Two-Point Reaching Movement Characteristics Using Modified Minimum-Torque-Change Model
Mai Honda, Toshikazu Matsui (Gunma Univ.) |
[more] |
NC2006-156
pp.19-24 |
| NC |
2007-03-15
11:00 |
Tokyo |
Tamagawa University |
Motor coordination mechanism depending on arm posture during bimanual finger movements
Takeshi Sakurada (Tokyo Tech.), Hiroaki Gomi (NTT), Jun Izawa (NTT/Johns Hopkins Univ.), Koji Ito (Tokyo Tech.) |
In our daily life, we frequently perform coordinated movements using right and left hands and fingers. Such movements ar... [more] |
NC2006-157
pp.25-30 |
| NC |
2007-03-15
11:20 |
Tokyo |
Tamagawa University |
A Motor Control Learning Model of Degrees of Freedom in Postural Control
Kenji Uematsu, Naohiro Fukumura (Toyohashi Univ. Tech.), Yoji Uno (Nagoya Univ.) |
In this study, we propose an efficient learning model that learns fast in a low dimensional state space using a low degr... [more] |
NC2006-158
pp.31-36 |
| NC |
2007-03-15
11:40 |
Tokyo |
Tamagawa University |
Human perceptual errors for arm length and hand position
Hidenori Imagawa, Naohiro Fukumura (Toyohashi Univ. of Tech.), Yoji Uno (Nagoya Univ./RIKEN) |
[more] |
NC2006-159
pp.37-42 |
| NC |
2007-03-15
12:00 |
Tokyo |
Tamagawa University |
Basic Study on Awareness of Space Inconsistency during Reaching Movements
Masatoshi Kawahara, Masashi Sata, Kotaro Goto, Harumitsu Murohashi, Makoto Takahashi (Hokkaido Univ.) |
[more] |
NC2006-160
pp.43-48 |
| NC |
2007-03-15
13:20 |
Tokyo |
Tamagawa University |
Motor planning and sparse motor representation
-- Application to reaching movement of a two-jointed non-linear arm --
Yutaka Sakaguchi (UEC), Shiro Ikeda (ISM) |
The authors previously proposed that ``sparseness preference'' could work as a criteron of motor planning problem within... [more] |
NC2006-161
pp.49-54 |
| NC |
2007-03-15
13:40 |
Tokyo |
Tamagawa University |
Influence of delay in sensorimotor systems on the performance and mechanism of control
Yusuke Azuma, Akira Hirose (UT) |
[more] |
NC2006-162
pp.55-60 |
| NC |
2007-03-15
14:00 |
Tokyo |
Tamagawa University |
A hierarchical learning model to obtain a periodic movement
Yuko Miyazaki, Hideaki Maeda, Tomoko Hioki, Jun Nishii (Yamaguchi Univ.) |
How do the CPG and higher centers cooperatively learn and control
musculo-skeletal system in order to realize a desired... [more] |
NC2006-163
pp.61-66 |
| NC |
2007-03-15
14:20 |
Tokyo |
Tamagawa University |
Attentional performance decrease in early phase of mption
Manabu Sasaki (YPUHS) |
[more] |
NC2006-164
pp.67-72 |
| NC |
2007-03-15
14:50 |
Tokyo |
Tamagawa University |
A comparison of MMF elicited by changes of tonal sequences with different musical scale structures
Katsuya Maeshima, Reiko Shiba, Iku Nemoto (TDU) |
A C-major sequences of six tones was made taking into consideration the spatial structure of the musical tones proposed ... [more] |
NC2006-165
pp.73-76 |
| NC |
2007-03-15
15:10 |
Tokyo |
Tamagawa University |
Evoked magnetic fields measured with a melody recognition task.
Kazuhiro Hirai, Reiko Shiba, Iku Nemoto (TDU) |
We studied the brain activity during recognition of contour changes in a melody by MEG. Two parent phrases having 8 asc... [more] |
NC2006-166
pp.77-81 |
| NC |
2007-03-15
15:30 |
Tokyo |
Tamagawa University |
Functional dissociation of hidden state estimation and dynamics identification in prefrontal cortex
Satoshi Morimoto, Wako Yoshida, Shin Ishii (NAIST) |
Decision making in a dynamic environment rests critically on the identification of the environmental dynamics. When the ... [more] |
NC2006-167
pp.83-88 |
| NC |
2007-03-15
15:50 |
Tokyo |
Tamagawa University |
Spatio-temporal Decomposition of Internal Models in Motor Learning under Mixed Dynamic Environments
Naoki Tomi, Manabu Gouko, Koji Ito (Tokyo Institute of Technology), Toshiyuki Kondo (Tokyo University of Agriculture and Technology) |
Humans can behave adaptively in the different dynamical conditions. In order to make adaptive behaviors, it is required ... [more] |
NC2006-168
pp.89-94 |
| NC |
2007-03-15
09:30 |
Tokyo |
Tamagawa University |
Coding characteristics of A/D converters based on spiking neurons
Toshimichi Saito, Aya Tanaka, Hiroyuki Torikai (Hosei Univ.) |
This paper studies analog-to-digital encoding based on artificial spiking neurons that can cause a variety of spike-trai... [more] |
NC2006-169
pp.95-98 |
| NC |
2007-03-15
09:50 |
Tokyo |
Tamagawa University |
Fusion of ART and SOM and its engineering application potential
Masaru Takanashi, Hiroyuki Torikai, Toshimichi Saito (Hosei Univ.) |
This paper considers fusion of Self-Organizing Maps (SOM) and Adaptive Resonance Theory (ART) network and its engineerin... [more] |
NC2006-170
pp.99-104 |
| NC |
2007-03-15
10:10 |
Tokyo |
Tamagawa University |
Interpolating Vectors for Robust Pattern Recognition
Kunihiko Fukushima, Isao Hayashi (Kansai Univ.) |
This paper proposes a powerful algorithm for pattern recognition, which uses \textit{interpolating vectors} for classify... [more] |
NC2006-171
pp.105-110 |
| NC |
2007-03-15
10:30 |
Tokyo |
Tamagawa University |
Additional Optimization of Feature Extraction for Pattern Classification by Utilizing Multilayer Perceptron
Norikazu Tonogai, Shin Ishii, Tomohiro Shibata (NAST) |
The demand of real-time pattern classification of high-dimensional
data with highly restricted computational power isin... [more] |
NC2006-172
pp.111-116 |
| NC |
2007-03-15
11:00 |
Tokyo |
Tamagawa University |
PLS Mixture Model for Online Dimension Reduction
Jiro Hayami, Koichiro Yamauchi (Hokkaido Univ.) |
[more] |
NC2006-173
pp.117-122 |
| NC |
2007-03-15
11:20 |
Tokyo |
Tamagawa University |
Active Selection of Labeled Data Using Online Competitive Learning
Keisuke Sakurai, Osamu Hasegawa (Tokyo Tech) |
[more] |
NC2006-174
pp.123-128 |
| NC |
2007-03-15
11:40 |
Tokyo |
Tamagawa University |
Speculative variable selection methods for quick online learning of classification tasks
Shinpei Masuda, Youhei Tadeuchi, Kyosuke Nishida, Koichiro Yamauchi (Hokkaido Univ.) |
Generally, high dimensional datasets usually include redundant or useless features to achieve the learning of specified ... [more] |
NC2006-175
pp.129-134 |