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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| MBE | 2019-01-31 10:00 |
Saga | Saga University | Development of a System for Visual Image Reconstruction by Decoding Brain State Using a Compact EEG Recorder Aina Arai, Ryota Horie (SIT) MBE2018-57 |
In this study, we proposed a method to reconstruct images from EEG signals measured from a subject who looked at the im... [more] | MBE2018-57 pp.1-4 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-21 10:10 |
Fukuoka | Interface Requirement Analyses between Spinal Sign Reflex and Linguistic Information
-- 3D Structure of Sound Waveform and Forward Error Corrections (Digital Linguistics) -- Kumon Tokumaru (Writer) PRMU2018-52 IBISML2018-29 |
Digital Linguistics have been providing new hypotheses on languages: two-stage evolution of phonemes, linguistic process... [more] | PRMU2018-52 IBISML2018-29 pp.113-118 |
|
| NS, IN (Joint) |
2018-03-01 09:00 |
Miyazaki | Phoenix Seagaia Resort | Predictive traffic engineering incorporating real-world information inspired by human brain cognition process Kodai Satake, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2017-93 |
The amount of traffic through networks is increasing both in quantity and in fluctuation. One approach to accommodating... [more] |
IN2017-93 pp.21-26 |
| 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 |
| SRW | 2017-08-21 16:10 |
Kyoto | Kyoto University | [Invited Talk]
Towards Realizing Networked Information Processing Platform Inspired by Brain and Living Organisms Masayuki Murata (Osaka Univ.) SRW2017-17 |
Design and control methods of networked information processing platform inspired by brain and living organisms are intro... [more] | SRW2017-17 pp.43-48 |
| MBE, NC (Joint) |
2017-03-13 14:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Convolutional neural networks with 3D input for P300 Identification in auditory brain-computer interfaces Eduardo Carabez, Miho Sugi, Isao Nambu, Yasuhiro Wada (Nagaoka Gidai) NC2016-71 |
We propose a 3D input for a convolutional neural network used as classifier for an auditory BCI that presents sounds to... [more] |
NC2016-71 pp.43-48 |
| IBISML | 2017-03-06 17:00 |
Tokyo | Tokyo Institute of Technology | Recurrent Neural Networks for task-evoked fMRI data classification Koya Ohashi (Tokyo Tech), Taiji Suzuki (Tokyo Tech/JST/RIKEN) IBISML2016-104 |
We consider a classification problem in which the task that a subject is performing is identified from the brain activit... [more] | IBISML2016-104 pp.33-40 |
| NS, IN (Joint) |
2017-03-03 13:40 |
Okinawa | OKINAWA ZANPAMISAKI ROYAL HOTEL | Analysis and Strategies for Improving Robustness and Efficiency of Interconnected Networks Masaya Murakami, Daichi Kominami (Osaka Univ.), Kenji Leibnitz (CiNet), Masayuki Murata (Osaka Univ.) IN2016-166 |
The Internet is rapidly developing toward the next generation of the Internet of Things (IoT), which accelerates the eme... [more] | IN2016-166 pp.413-418 |
| SP, SIP, EA | 2017-03-01 12:40 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Estimation of Music Genres from Spontaneous Brain Activity Analysis by Using Neural Network Hiroki Itoga, Yoshikazu Washizawa (UEC) EA2016-103 SIP2016-158 SP2016-98 |
Quantitative evaluation of the mind states has been addressed for a long time. Evaluated mind states can be applied for ... [more] | EA2016-103 SIP2016-158 SP2016-98 pp.119-122 |
| 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 |
| 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 |
| IN, NV (Joint) |
2014-07-17 10:45 |
Hokkaido | Hokkaido Univ. | A topology construction method for wireless sensor networks inspired by brain functional networks Shu Ishikura, Daichi Kominami, Masayuki Murata (Osaka Univ.) IN2014-31 |
Wireless sensor networks (WSNs) have attracted attentions because of its wide applicability. Various applications of WSN... [more] | IN2014-31 pp.7-12 |
| NC, MBE (Joint) |
2014-03-18 16:20 |
Tokyo | Tamagawa University | The Generative Grammars are the Immune Cell Logic of Dichotomy and Dualism
-- Chained and Distributed Neuro-computing of Language Hypothesis -- Kimiaki Tokumaru (System Engineer) NC2013-146 |
"It seems a miracle that young children easily learn the language of any environment into which they were born. The gene... [more] | NC2013-146 pp.335-340 |
| 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 |
| NC, MBE | 2013-09-24 13:30 |
Niigata | Niigata University Ekinan-Campus "TOKIMATE" | Real time communication with Supercomputer for Whole Insect Brain Simulation Yusuke Mori, Tomoki Kazawa, Daisuke Miyamoto, Ryohei Kanzaki (Univ. of Tokyo) MBE2013-42 NC2013-28 |
To elucidate how a brain processes information has important role in neuroscience, and also in the field such as enginee... [more] | MBE2013-42 NC2013-28 pp.35-40 |
| VLD, CAS, MSS, SIP | 2012-07-02 09:40 |
Kyoto | Kyoto Research Park | Sparsification of time windows for EEG signal classification during motor imagery Hiroshi Higashi, Toshihisa Tanaka (TUAT) CAS2012-2 VLD2012-12 SIP2012-34 MSS2012-2 |
In an EEG based Brain computer interface (BCI), a time-windowed signal having a fixed finite duration is classified in... [more] |
CAS2012-2 VLD2012-12 SIP2012-34 MSS2012-2 pp.7-12 |
| MVE, ITE-HI, HI-SIG-VR | 2012-06-26 11:35 |
Tokyo | Sanjo Conference Hall | Discrimination of Motor Imagery of Individual Finger with EEG Kazutoshi Yoshitake, Hideaki Touyama (Toyama Prefectural Univ) MVE2012-12 |
In recently years, the research of BCI(Brain-Computer Interface) has been more and more investigated. Motor imagery whic... [more] | MVE2012-12 pp.13-16 |
| ICD | 2012-03-26 13:00 |
Osaka | Osaka Univ. | [Invited Talk]
Brain science and Brain machine interface Mitsuo Kawato (ATR) ICD2011-148 |
Brain science and neuroscience are rapidly growing scientific fields where researchers try to understand information pro... [more] | ICD2011-148 pp.19-24 |
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