| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| NC |
2006-10-11
10:00 |
Nara |
NAIST |
Controlling synfire chain by inhibitory synaptic input
Takashi Shinozaki, Hideyuki Cateau (RIKEN), Hidetoshi Urakubo (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) |
We report that the inhibitory synaptic input can control the transmission of synfire chain. Synfire chain is a phenomeno... [more] |
NC2006-45
pp.1-6 |
| NC |
2006-10-11
10:25 |
Nara |
NAIST |
A Generative Probabilistic Model to Detect Synchrony in Pairs of Event Strings
Justin Dauwels, Francois Vialatte (RIKEN) |
We propose a novel measure to quantify the synchrony between two event strings, referred to as "stochastic event synchro... [more] |
NC2006-46
pp.7-12 |
| NC |
2006-10-11
11:00 |
Nara |
NAIST |
Performance of time series prediction of a visual target in humans.
Manabu Shikauchi, Shin Ishii, Tomohiro Shibata (NAIST) |
is advantageous for animals and humans to predict changes in the environment. For example, because there
are latencies ... [more] |
NC2006-47
pp.13-18 |
| NC |
2006-10-11
11:25 |
Nara |
NAIST |
Cortical current sources related to cover pursuit of a moving visual target estimated by a combined fMRI/MEG analysis
Dai Kawawaki, Tomohiro Shibata (NAIST), Yusuke Fujiwara (ATR/NAIST), Okito Yamashita, Masa-aki Sato, Mitsuo Kawato (ATR) |
The neural mechanisms of covert pursuit to a moving visual target were investigated by a combined fMRI/MEG analysis for ... [more] |
NC2006-48
pp.19-24 |
| NC |
2006-10-11
13:00 |
Nara |
NAIST |
[Invited Talk]
Bayesian approaches in Natural Language Processing
Daichi Mochihashi (ATR/NICT) |
This paper overviews Bayesian approaches in natural language processing
that are becoming prominent.
Without any knowl... [more] |
NC2006-49
pp.25-30 |
| NC |
2006-10-11
14:10 |
Nara |
NAIST |
The cerebrum cortex model which executes belief propagation and self-organization of conditional probability table
Yuuji Ichisugi (AIST) |
A neural network model of cerebral cortex, BESOM model, is described. The network self-organizes conditional probability... [more] |
NC2006-50
pp.31-36 |
| NC |
2006-10-11
14:35 |
Nara |
NAIST |
Bayesian Hypothesis Testing in Singular Models; a Case Study of Time Series Analysis
Kaori Fujiwara (IBM), Sumio Watanabe (Tokyo Tech.) |
[more] |
NC2006-51
pp.37-41 |
| NC |
2006-10-11
15:00 |
Nara |
NAIST |
On Relation between Exchange Ratio and Kullback Divergence in Exchange Monte Carlo Method
Kenji Nagata, Sumio Watanabe (T.I.Tech.) |
The exchange Monte Carlo method was proposed as an improved algorithm of Markov Chain Monte Carlo method, and its effect... [more] |
NC2006-52
pp.43-48 |
| NC |
2006-10-11
15:40 |
Nara |
NAIST |
On-line Probabilistic Factorization for Recovering 3D shape and motion from image streams
Takashi Bando, Tomohiro Shibata (NAIST), Mikio Shimizu, Naoki Fukaya (DENSO), Shin Ishii (NAIST) |
[more] |
NC2006-53
pp.49-54 |
| NC |
2006-10-11
16:05 |
Nara |
NAIST |
On Integration of Collaborative and Attribute-based Filtering
Hideki Asoh (AIST), Chihiro Ono (KDDI R&D Labs.), Yoichi Motomura (AIST), Mori Kurokawa, Akito Sakurai (Keio Univ.) |
[more] |
NC2006-54
pp.55-59 |
| NC |
2006-10-11
16:40 |
Nara |
NAIST |
[Invited Talk]
Modern Bayesian Statistics and Its Influence on Science and Technology
Yukito Iba (ISM) |
[more] |
NC2006-55
pp.61-66 |