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Technical Committee on ME and Bio Cybernetics (MBE) (Searched in: 2022)
Search Results: Keywords 'from:2022-09-29 to:2022-09-29'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2022-09-29 10:00 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Fabrication of artificial neuronal networks for analyzing neuronal ensemble functions Hakuba Murota, Hideaki Yamamoto, Takuma Sumi, Shigeo Sato, Ayumi Hirano (Tohoku Univ.)  NC2022-32 |
In this study, we applied cell patterning technology using polydimethylsiloxane microfluidics to fabricate artificial ne... [more] | NC2022-32 pp.1-4 |
| NC, MBE (Joint) |
2022-09-29 10:25 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Analog circuit implementation of spiking neural networks and its application to time-series information processing Satoshi Moriya, Hideaki Yamamoto (Tohoku Univ), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato, Yoshihiko Horio (Tohoku Univ) NC2022-33 |
Edge computing in which low-dimensional signals such as sensor output are processed nearby sensors have become increasin... [more] | NC2022-33 p.5 |
| NC, MBE (Joint) |
2022-09-29 10:50 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Improvement of AdaBoost algorithm for spiking neural networks Masaya Kawaguchi, Jun Ohkubo (Saitama Univ.) NC2022-34 |
Unlike artificial neural networks (ANNs), which have been widely used recently, spiking neural networks (SNNs) have attr... [more] | NC2022-34 pp.6-10 |
| NC, MBE (Joint) |
2022-09-29 11:15 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
State estimation for continuous-time stochastic systems by holonomic gradient method Riku Yamamoto, Jun Ohkubo (Saitama Univ.) NC2022-35 |
The holonomic gradient method efficiently gives us numerical values of integrals with parameters, which could be a power... [more] | NC2022-35 pp.11-15 |
| NC, MBE (Joint) |
2022-09-29 13:25 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Tuning properties to Second-order grating in Deep Convolutional Neural Network (DCNN) Jamal Shah (Iwate Prefectural Univ.), Yoshiyuki R. Shiraishi (HobHop, Inc.), Tomoyuki Naito (Osaka Univ.), Takahisa M. Sanada (Iwate Prefectural Univ.) NC2022-36 |
Second-order visual feature, such as texture defined edge or contrast defined edge, is an important visual cue for objec... [more] | NC2022-36 pp.16-19 |
| NC, MBE (Joint) |
2022-09-29 13:50 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Isotropic Inference and Modularity in Neural Networks Yuma Onishi, Tomoaki Imajo, Yusuke Matsubara, Koiti Hasida (UTokyo) NC2022-37 |
Neural networks can be regarded as a system of simultaneous equations. Reasoning with it is to solve the simultaneous eq... [more] | NC2022-37 pp.20-23 |
| NC, MBE (Joint) |
2022-09-29 14:35 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Detecting symptom of dementia based on features of pupil light reflex on both eyes Minoru Nakayama (Tokyo Tech.), Wioletta Nowak, Anna Zarowska (Wroclaw Univ. S&T) MBE2022-16 |
Waveforms of pupil light reflex (PLR) on both eyes in response to blue and red light pulses for either eye were observed... [more] | MBE2022-16 pp.1-6 |
| NC, MBE (Joint) |
2022-09-29 15:00 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Examination of EEG preprocessing method using temporal characteristics of visual evoked potentials Kazuhiko Goto (TMCIT) MBE2022-17 |
Visual evoked potentials (VEP) amplitudes are lower than EEG and artifacts, so the recorded data contain a mixture of VE... [more] | MBE2022-17 pp.7-12 |
| NC, MBE (Joint) |
2022-09-29 15:25 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
A server type method for generating visual effects by using a time window in a virtual reality live experience system using brain waves Komoda Yukino, Horie Ryota (SIT) MBE2022-18 |
In this study, we proposed and developed a method of generating visual effects for a server type virtual reality live ex... [more] | MBE2022-18 pp.13-17 |
| NC, MBE (Joint) |
2022-09-29 16:05 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
subjective emotional evaluation Yumika Muraki, Kiyoko Yokoyama (NCU) MBE2022-19 |
The purpose of this study is to examine the relationship between emotion measurement based on subjective evaluation and ... [more] | MBE2022-19 pp.18-23 |
| NC, MBE (Joint) |
2022-09-29 16:30 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Analysis of Comfort Factors of Eye Mask based on Biological Signals and Subjective Evaluation China Kojima, Kiyoko Yokoyama (Nagoya City Univ.), Misako Kojima, Hayashi Daiki, Nakamura Kohei, Yuko Kawahara (TOHO GAS Co.Ltd.) MBE2022-20 |
In this study, we focused on the eye mask, which is one of the methods to relieve visual fatigue and stress caused by us... [more] | MBE2022-20 pp.24-27 |
| NC, MBE (Joint) |
2022-09-30 09:40 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
On optimization of periodic orbits in permutation binary neural networks Kento Saka, Toshimichi Saito (HU) NC2022-38 |
This paper introduces a permutation binary neural network characterized by local binary connection and global permutatio... [more] | NC2022-38 pp.24-27 |
| NC, MBE (Joint) |
2022-09-30 10:05 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
On evolutionary bi-objective optimization in binary associative memories Kazuma Morishita, Toshimichi Saito (HU) NC2022-39 |
This paper studies a bi-objective optimization problem in a binary associative memories(BAMs). The BAMs are characteri... [more] |
NC2022-39 pp.28-31 |
| NC, MBE (Joint) |
2022-09-30 10:30 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
An approximation algorithm for computing integrated information based on Gaussian process regression Tadaaki Hosaka (TUS) NC2022-40 |
The framework of Integrated Information Theory, which aims to mathematically deal with consciousness, consists of multip... [more] | NC2022-40 pp.32-37 |
| NC, MBE (Joint) |
2022-09-30 11:10 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
A hypothesis of function considering reciprocal inhibitory mechanisms in the amygdala that enable extinction learning and relapse in fear conditioning. Tatsuya Miyamoto, Yoshimasa Tawatsuji (Waseda Univ.), Hiroshi Yamakawa (The Univ. of Tokyo) NC2022-41 |
We investigated the neural circuitry of the amygdala and focused on fear conditioning, which is the most studied importa... [more] | NC2022-41 pp.38-43 |
| NC, MBE (Joint) |
2022-09-30 11:35 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
A dynamic state-space reinforcement learning model explaining functional differentiation of higher motor areas in the cerebral cortex Naoki Tamura, Hajime Mushiake (Tohoku Univ), Kazuhiro Sakamoto (TMPU) NC2022-42 |
Complex and sequential behaviors based on various cues depend on the frontal higher motor areas of the cerebral cortex. ... [more] | NC2022-42 pp.44-48 |
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