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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 |
| 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 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 15:20 |
Online | Online | A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido University) |
In this paper, we propose a method to reconstruct a perceived image using brain signals obtained during gazing images. S... [more] | |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:00 |
Online | Online | Analysis of Functional Connectivity of EEG during Driving Masahiro Tsurushima, Sou Nobukawa (ChibaTech), Nobuhiko Wagatsuma (Toho Univ.), Inagaki Keiichiro (Chubu Univ.) NC2021-35 |
It is desirable to elucidate the functional whole brain network related to driving proficiency. In a previous study, we ... [more] | NC2021-35 pp.24-29 |
| NC, MBE (Joint) |
2021-03-03 09:25 |
Online | Online | Network cores of the human functional connectome Tomoya Taguchi, Jun Kitazono (Univ. of Tokyo), Shuntaro Sasai (Araya Inc.), Masafumi Oizumi (Univ. of Tokyo) NC2020-41 |
In order to understand the structure of large and complex neural networks in the brain, it is important to find the "cor... [more] | NC2020-41 pp.1-6 |
| 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] | |
| PRMU | 2020-10-09 11:00 |
Online | Online | Examination of data preprocessing in functional MRI image analysis using CNN Yuta Hosoi (Niigata Univ.), Takafumi Hayashi (Nihon Univ) PRMU2020-22 |
fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since it... [more] | PRMU2020-22 pp.20-25 |
| MI | 2020-01-29 14:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Effects of skull and surrounding area in functional MRI analysis using Convolutional Neural Network Yuta Hosoi, Takafumi Hayashi (Niigata Univ.) MI2019-86 |
A fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since ... [more] | MI2019-86 pp.91-96 |
| HIP | 2019-03-09 15:30 |
Kochi | [Invited Talk]
Masaki Takeda (Kochi Univ. Tech.) HIP2018-85 |
How do we recall something from our memory? Underlying information processing for memory processing remains largely uncl... [more] | HIP2018-85 pp.19-20 |
|
| NC, MBE (Joint) |
2019-03-05 16:15 |
Tokyo | University of Electro Communications | Performance improvement of fNIRS-BCI using generative adversarial networks Tomoyuki Nagasawa (Nagaoka Univ. of Tech.), Takanori Sato (National Inst. of Tech., Akita Col.), Isao Nambu, Yasuhiro Wada (Nagaoka Univ. of Tech.) NC2018-72 |
Since a lengthy functional near-infrared spectroscopy (fNIRS) measurement is uncomfortable for the participant, the numb... [more] | NC2018-72 pp.151-156 |
| NC, MBE (Joint) |
2019-03-06 15:05 |
Tokyo | University of Electro Communications | Evaluation of resting brain activity change in short-term motor learning process using fNIRS Takumi Karasawa, Toshiki Kusano, Isao Nambu, Yasuhiro Wada (Nagaoka Univ. of Tech.) MBE2018-114 |
The resting brain activity is expected to be applied to rehabilitation. functional magnetic resonance imaging study conf... [more] | MBE2018-114 pp.141-146 |
| NC, MBE (Joint) |
2018-10-20 14:15 |
Miyagi | Tohoku Univ. | Behavioral testing and resting-state brain functional connectivity analysis of the methimazole-induced transient hypothyroidism mice Yuto Yoshida, Ryusei Uchida, Katsuya Uchida, Keiichi Itoi, Mitsuyuki Nakao, Norihiro Katayama (Tohoku Univ.) MBE2018-33 |
Decreased thyroid function in the fetal and juvenile period causes mental retardation and motor function decline. In thi... [more] | MBE2018-33 pp.31-36 |
| MBE, NC (Joint) |
2018-03-13 15:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis for Changes of Functional Connectivity in Aging by Phase Lag Index Sou Nobukawa, Toka Matsumoto (CIT), Mitsuru Kikuchi (Kanazawa Univ.), Yuji Wada, Tetsuya Takahashi (Univ. of Fukui) NC2017-86 |
Recent findings in neural network studies of the human brain support that brain function emerges from its topological fe... [more] | NC2017-86 pp.109-114 |
| 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 |
| CQ (2nd) |
2018-01-18 14:30 |
Tokyo | NII | Individual representation of large-scale network associated with creative insight Takeshi Ogawa, Takatsugu Aihara, Takeaki Shimokawa, Okito Yamashita (ATR) |
Creative insight occurs with “Aha!” experience in solving a difficult problem. Here, we focused on a large-scale network... [more] | |
| 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] | |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-25 09:55 |
Okinawa | Okinawa Institute of Science and Technology | Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network JeongHun Baek, Shigeyuki Oba (Kyoto Univ.), Junichiro Yoshimoto, Kenji Doya (OIST), Shin Ishii (Kyoto Univ.) IBISML2015-22 |
Identification of functional connectivity between neurons is an important issue in computational neu- roscience. Recentl... [more] | IBISML2015-22 pp.181-185 |
| 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 |
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