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Technical Committee on ME and Bio Cybernetics (MBE) (Searched in: 2021)
Search Results: Keywords 'from:2021-10-28 to:2021-10-28'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2021-10-28 09:40 |
Online | Online |  MBE2021-17 |
In this study, we examine whether it is possible to analyze habituation to taste stimulus from EEG. EEG and EMG are meas... [more] | MBE2021-17 pp.1-6 |
| MBE, NC (Joint) |
2021-10-28 10:05 |
Online | Online | Development of a CAVE virtual reality system for behavioral testing of mice Ryunosuke Sato, Ryunosuke Togawa, Mitsuyuki Nakao (Tohoku Univ), Norihiro Katayama (Shokei Gakuin Univ. , Tohoku Univ) MBE2021-18 |
[more] | MBE2021-18 pp.7-10 |
| MBE, NC (Joint) |
2021-10-28 10:30 |
Online | Online | Analysis of cerebral intrinsic optical signal of mice evoked by the spatio-temporal visual stimuli Kentaro Oka, Ryunosuke Togawa, Mitsuyuki Nakao (Tohoku Univ.), Norihiro Katayama (Shokei Gakuin Univ./Tohoku Univ.) MBE2021-19 |
There is a topographic connection between the cortical primary visual cortex and the retina, called the retinal map. Thi... [more] | MBE2021-19 pp.11-15 |
| MBE, NC (Joint) |
2021-10-28 11:15 |
Online | Online | Neural Mechanisms of Prepulse Inhibition in Drosophila Larvae Kotaro Furuya, Yuki Katsumata, Masayuki Ishibashi (Tokyo Tech), Takako Morimoto (TUPLS), Toru Aonishi (Tokyo Tech) NC2021-18 |
Prepulse inhibition (PPI) is a phenomenon in which the startle response to stimuli is suppressed by preceding stimuli. I... [more] | NC2021-18 pp.1-6 |
| MBE, NC (Joint) |
2021-10-28 11:40 |
Online | Online | Reservoir computing properties of micropatterned neuronal networks in culture Takuma Sumi, Hideaki Yamamoto, Satoshi Moriya, Taiki Takemuro, Tomohiro Konno, Shigeo Sato, Ayumi Hirano-Iwata (Tohoku Univ) NC2021-19 |
In this experiment, we used the reservoir computing model to analyze the information processing properties of micropatte... [more] | NC2021-19 pp.7-10 |
| MBE, NC (Joint) |
2021-10-28 12:05 |
Online | Online | Neural dynamics of IT cortex on ambiguity stimuli in uncanny valley Yoshimasa Tawatsuji, Tatsunori Matsui (Waseda Univ.) NC2021-20 |
[more] | NC2021-20 pp.11-15 |
| MBE, NC (Joint) |
2021-10-28 13:30 |
Online | Online | Is the collapse of Blood Brain Barrier the reason of Hypercortical Aphasia?
-- Inside the brain ventricle system immune cell network hypothesis -- Kumon Tokumaru (Writer) MBE2021-20 |
The author has been proposing, since 2012, a hypothesis, which explains that linguistic processing and intelligence buil... [more] | MBE2021-20 pp.16-19 |
| MBE, NC (Joint) |
2021-10-28 13:55 |
Online | Online | Analyses on the mechanisms of accumulating excitatory responses to repetitive microstimulation pulses in cerebral cortex Santa Fukuda (Mie Univ.), Tomohiro Nomoto, Kou Yoshida (Osaka Univ.), Yuki Hayashida (Mie Univ.), Tetsuya Yagi (Fukui Univ. Tech.) MBE2021-21 |
[more] | MBE2021-21 pp.20-25 |
| MBE, NC (Joint) |
2021-10-28 14:20 |
Online | Online | A Study on Affective BCI Using Reservoir Computing and Fractal Analysis Yuuma Matsuda, Masahiro Nakagawa (NUT) MBE2021-22 |
Today, the Brain Computer Interface (BCI) using EEG for quantification of sensitivity have been studying, and the deep l... [more] | MBE2021-22 pp.26-31 |
| MBE, NC (Joint) |
2021-10-28 15:05 |
Online | Online | Enhancement of spatio-temporal coding performance in spiking neural network and its application to hazard detection for landing of spacecrafts Hideaki Kinoshita, Shinichi Kimura (TUS), Seisuke Fukuda (JAXA) NC2021-21 |
Spiking neural networks (SNNs) are a neuromimetic computational architecture that has attracted much attention in recent... [more] | NC2021-21 pp.16-21 |
| MBE, NC (Joint) |
2021-10-28 15:30 |
Online | Online | A Deep Neural Network Model Compression with Spherical Clustering of Neurons Shin Sakamoto, Masao Okita, Fumihiko Ino (Osaka Univ) NC2021-22 |
In this paper, we propose weight matrix compression with spherical clustering of neurons , aiming at reducing memory usa... [more] | NC2021-22 pp.22-27 |
| MBE, NC (Joint) |
2021-10-28 15:55 |
Online | Online | A Study on Improvement Learning Performance with Chaos Neurons Renshi Nagasawa, Masahiro Nakagawa (NUT) NC2021-23 |
In the backpropagation method in neural networks, the problem is that the energy converges to the local minimum. On the... [more] | NC2021-23 pp.28-33 |
| MBE, NC (Joint) |
2021-10-28 16:20 |
Online | Online | Study on rounding error and Learning performance of reinforcement learning model for FPGA implementation Daisuke Oguchi, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ) NC2021-24 |
In recent years, the hardware implementation of reinforcement learning (RL) has attracted attention due to its wide rang... [more] | NC2021-24 pp.34-39 |
| MBE, NC (Joint) |
2021-10-29 09:40 |
Online | Online | Computer simulations of colorectal tumor development Riku Ichinohe (Tohoku Univ.), Norihiro Katayama (Tohoku Univ./Shokei Univ.), Mitsuyuki Nakao (Tohoku Univ.) MBE2021-23 |
It is known that prevalence of colorectal cancer increases in work schedules that do not follow the circadian rhythm suc... [more] | MBE2021-23 pp.32-36 |
| MBE, NC (Joint) |
2021-10-29 10:05 |
Online | Online | Comprehensive Characterization of Sleep and Physiological Conditions and Its Relationship with Dietary Habits Keisuke Suzuki, Siawlee Choilek, Ikuko Motoike (Tohoku Univ.), Akihiro Karashima (Tohoku Inst. Tech./Tohoku Univ.), Norihiro Katayama (Shokei Gakuin Univ./Tohoku Univ.), Mitsuyuki Nakao (Tohoku Univ.) MBE2021-24 |
In order to effectively promote behavioral changes for health maintenance and improvement based on objective data obtain... [more] | MBE2021-24 pp.37-40 |
| MBE, NC (Joint) |
2021-10-29 10:30 |
Online | Online | Effect of spatial cognitive ability and working memory ability on 3D maze task performance Takumi Nomura, Junichi Hori (Niigata Univ.) MBE2021-25 |
Maze tasks have been used in research related to human and animal brain function and learning ability. The purpose of th... [more] | MBE2021-25 pp.41-43 |
| MBE, NC (Joint) |
2021-10-29 11:15 |
Online | Online | Visualization and quantification of the difficulty of combinatorial optimization problems in Ising formulation Keiichi Soejima (Saitama Univ.), Makiko Konoshima, Hirotaka Tamura (Fujitsu), Jun Ohkubo (Saitama Univ.) NC2021-25 |
With the aim of rapidly solving combinatorial optimization problems, dedicated hardware using the Ising Model is being d... [more] | NC2021-25 pp.40-45 |
| MBE, NC (Joint) |
2021-10-29 11:40 |
Online | Online | A numerical study on the relationship between complexity and accuracy of neural networks based on ordinary differential equations Kaoru Esashika, Jun Ohkubo (Saitama Univ.) NC2021-26 |
In recent years, many reports have been published on deep neural networks. The residual networks have contributed to rem... [more] | NC2021-26 pp.46-50 |
| MBE, NC (Joint) |
2021-10-29 12:05 |
Online | Online | Examination of encoding method of Markov source in spiking neural network Kiyotaka Sekine, Jun Ohkubo (Saitama Univ.) NC2021-27 |
[more] | NC2021-27 pp.51-56 |
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