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Technical Committee on Neurocomputing (NC) (Searched in: 2023)
Search Results: Keywords 'from:2023-10-27 to:2023-10-27'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2023-10-27 13:30 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Significance of single cell recording
-- Reverse engineering from supplementary motor cortex neuronal activity to reinforcement learning model -- Nao Matsumoto, Naoki M. Tamura, Hajime Mushiake (Tohoku Univ. Sch. Med.), Kazuhiro Sakamoto (TMPU)  NC2023-25 |
Elucidating the regions of the brain that are active in a given cognitive activity is an important mission in neuroscien... [more] | NC2023-25 pp.1-5 |
| NC, MBE (Joint) |
2023-10-27 13:55 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Effect on tuning properties to 1st- and 2nd-order stimuli by inactivation of internal units in Deep Convolutional Neural Network (DCNN) Anqi Wang, Maryu Horyozaki, Takahisa M. Sanada (IPU) NC2023-26 |
Object recognition relies not only on luminance, which is considered 1st-order visual feature, but also on more complex ... [more] | NC2023-26 pp.6-11 |
| NC, MBE (Joint) |
2023-10-27 14:20 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Event-related potentials of the central tendency effect in time perception with visual stimuli Koreki Kanji, Tsubo Yasuhiro (Ritsumeikan Univ.) NC2023-27 |
[more] | NC2023-27 pp.12-16 |
| NC, MBE (Joint) |
2023-10-27 14:45 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Adaptive motion generation for a redundant robot arm using an echo state network Hiroshi Atsuta, Yuji Kawai (Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) NC2023-28 |
Teaching playback is a convenient method to instruct robots how to move. However, this method has an issue of excessive ... [more] | NC2023-28 pp.17-22 |
| NC, MBE (Joint) |
2023-10-27 15:25 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Objective evaluation of the effect of laughter by autonomic estimation using heart rate variability analysis Yutaka Yoshida, Emi Yuda (Tohoku Univ.) |
[more] | |
| NC, MBE (Joint) |
2023-10-27 15:50 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Estimation of optimal exercise timing by recommendation system Itaru Kaneko, Tomoki Ando, Daisuke Hirahara, Yutaka Yoshida, Emi Yuda (Tohoku Univ.) |
[more] | |
| NC, MBE (Joint) |
2023-10-27 16:15 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Heating of infusion circuit in a cold environment and change of properties of the infusion solution Hotaru Horita, Toshitsugu Sugawara, Hisae Shimizu (HUS), ShinsShinsuke Onishi (Teine Keijinkai Hospital) MBE2023-22 |
(To be available after the conference date) [more] | MBE2023-22 pp.1-2 |
| NC, MBE (Joint) |
2023-10-28 09:40 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Muscle Activity Evaluation Based on the Perspective of Motor Unit Activities Detected from a Single-Channel Surface EMG Signal Hidetoshi Nagai (KIT) MBE2023-23 |
When attempting to assess the extent of muscle activity, it is common practice to utilize the amplitude of surface EMG s... [more] | MBE2023-23 pp.3-8 |
| NC, MBE (Joint) |
2023-10-28 10:05 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Research on Screening for Dementia by Analyzing Eye Gaze Data Yuji Maegawa, Yutaka Kawaguchi (Kobe Univ.), Mamoru Hiroe (Osaka Seikei Univ./Kobe Univ.), Maki Uchimura (Kobe Univ.), Minoru Nakayama (Tokyo Tech), Zheng Yujia, Yuma Sonoda, Hisatomo Kowa, Takashi Nagamatsu (Kobe Univ.) MBE2023-24 |
Current screening tests for dementia are time-consuming and have other problems, and the development of simpler tests is... [more] | MBE2023-24 pp.9-14 |
| NC, MBE (Joint) |
2023-10-28 10:45 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
A design of ultra-low power reservoir computing system with analog CMOS spiking neural network circuits Satoshi Ono, Satoshi Moriya, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Yoshihiko Horio, Shigeo Sato (Tohoku Univ.) NC2023-29 |
Spiking neural network (SNN) is expected to be applied to edge computing due to its low power consumption when implement... [more] | NC2023-29 p.23 |
| NC, MBE (Joint) |
2023-10-28 11:10 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Multi-step ahead time series prediction based on hierarchical reservoir computing with multiple memory capacity. Wenkai Yu, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ) NC2023-30 |
Reservoir computing has proven to be an efficient model in many areas, such as time series prediction. However, multi-st... [more] | NC2023-30 p.24 |
| NC, MBE (Joint) |
2023-10-28 11:35 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Lightweight modular reservoir computing with the Bernoulli weight distribution Yuji Kawai (Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) NC2023-31 |
A modular reservoir computing, namely reservoir of basal dynamics (reBASICS), has been proposed for time series learning... [more] | NC2023-31 pp.25-30 |
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