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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2024-03-11 11:15 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Discrimination between dementia groups and healthy elderlies based on time-series variations of functional connectivity Chisho Takeoka, Toshimasa Yamazaki (KIT), Yoshiyuki Kuroiwa, Kimihiro Fujino, Toshiaki Hirai (Teikyo), Hidehiro Mizusawa (NCNP)  MBE2023-70 |
Alzheimer’s disease is the most famous dementia in the world. Electroencephalography (EEG), which is excellent at time r... [more] | MBE2023-70 pp.9-12 |
| CQ, CBE (Joint) |
2024-01-25 16:50 |
Kumamoto | Kurokawa-Onsen (Primary: On-site, Secondary: Online) |
[Invited Talk]
Analysis of global state fluctuations in functional brain networks Makoto Fukushima (Hiroshima Univ.) CQ2023-59 |
The degree of synchronization of regional brain activities (i.e., functional connectivity) always fluctuates over time, ... [more] | CQ2023-59 p.43 |
| MBE, NC (Joint) |
2022-03-03 15:55 |
Online | Online | Discrimination between healthy elderlies, dementia patients and prion disease patients by comparing brain functional connectivity networks Chisho Takeoka, Toshimasa Yamazaki (KIT), Yoshiyuki Kuroiwa, Kimihiro Fujino, Toshiaki Hirai (Teikyo), Hidehiro Mizusawa (NCNP) MBE2021-99 |
In this study, we examined whether it is possible to discriminate healthy elderlies, patients, dementia patients and pri... [more] | MBE2021-99 pp.51-54 |
| CQ (2nd) |
2021-01-21 13:30 |
Online | Online | [Invited Lecture]
Individual representation of creativity using large-scale brain dataset Takeshi Ogawa (ATR) |
Thanks to development of machine learning methods based on large-scale data, it has made huge impacts on not only image ... [more] | |
| MBE, NC, NLP (Joint) |
2018-01-26 13:50 |
Fukuoka | Kyushu Institute of Technology | Brain functional connectivity network flexibility predicts individual variability in learning ability Akiyoshi Akiyama (KyuTech), Eiko Soejima (Jyoto High School), Toshimasa Yamazaki (KyuTech), Takahiko Yamamoto (Jyoto High School) NC2017-52 |
This study addresses itself to clarify the relationship between structural changes of brain functional connectivity netw... [more] | NC2017-52 pp.11-16 |
| MBE, NC, NLP (Joint) |
2018-01-26 14:15 |
Fukuoka | Kyushu Institute of Technology | An application of association rule mining for the brain functional connectivity networks during different facial expressions Asako Watanabe, Toshimasa Yamazaki (Kyutech) NC2017-53 |
Electroencephalograms (EEGs) during facial expression were measured. We calculated synchronization likelihood (SL) shows... [more] | NC2017-53 pp.17-22 |
| CCS | 2016-08-09 16:00 |
Hokkaido | Yoichi Chuo kominkan | Constructing a virtual IoT network using a cerebral cortical connectivity model Masaya Murakami (Osaka Univ.), Kenji Leibnitz, Daichi Kominami (CiNet), Tetsuya Shimokawa, Masayuki Murata (Osaka Univ.) CCS2016-18 |
Wireless sensor networks will be one of the fundamental technologies for realizing the future Internet of Things (IoT) e... [more] | CCS2016-18 pp.9-14 |
| HCGSYMPO (2nd) |
2015-12-16 - 2015-12-18 |
Toyama | Toyama International Conference Center | Visualization of short-term and long-term memories by Brain Functional Connectivity Network Akiyoshi Akiyama, Toshimasa Yamazaki (KIT), Takahiko Yamamoto, Eiko Soejima (FJH) |
Brain Functional Connectivity Network (BFCN) is a visualization of connectivities between brain regions related to human... [more] | |
| IN, NV (Joint) |
2014-07-17 10:20 |
Hokkaido | Hokkaido Univ. | Analysis of the brain functional networks connection structure and its application to the information network Yoshinobu Shijo, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) IN2014-30 |
The Internet is one of the largest artificial network in the world, and it is desired to make large-scale complex Intern... [more] | IN2014-30 pp.1-6 |
| NC, MBE (Joint) |
2014-03-17 15:00 |
Tokyo | Tamagawa University | Functional MRI neurofeedback training for changing both connectivity between intrinsic functional networks and cognitive performance Ayumu Yamashita (Kyoto Univ.), Mitsuo Kawato, Hiroshi Imamizu (ATR) NC2013-126 |
(To be available after the conference date) [more] | NC2013-126 pp.215-220 |
| NC, MBE (Joint) |
2014-03-18 15:20 |
Tokyo | Tamagawa University | Functional Brain Network using Synchronization Likelihood(SL) constructed from EEGs Taichi Toh, Risa Urata, Toshimasa Yamazaki (Kyusyu Inst. of Tech.), Yoshiyuki Kuroiwa (Teikyo Univ.) MBE2013-145 |
Functional Brain Network (FBN) could visualize the connectivity between brain regions in brain activity associated with ... [more] | MBE2013-145 pp.167-170 |
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