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 |