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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, NLP (Joint) |
2025-01-29 16:50 |
Osaka | Evaluation of the Effect of Double Exponential Filter on Reservoir Computing Using Cultured Neuron Model Shuma Tanaka, Yoshitaka Ishikawa (Future Univ. Hakodate), Hideyuki Kato (Oita Univ.), Hideaki Yamamoto (Tohoku Univ.), Yuichi Katori (Future Univ. Hakodate)  NLP2024-104 |
To elucidate the information processing mechanisms of cultured neural circuits, reservoir computing (RC) incorporating t... [more] | NLP2024-104 pp.65-70 |
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| NC, MBE (Joint) |
2024-09-27 15:40 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Analog CMOS circuit implementation of STDP and its application to classification tasks Yosuke Iida, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ) NC2024-37 |
STDP, a learning rule suitable for spiking neural networks, learns from local spike timing differences between neurons. ... [more] | NC2024-37 pp.29-32 |
| NC, MBE (Joint) |
2024-09-28 11:10 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Analysis of structure-function relationships in neuronal networks using a Markov chain model Nobuaki Monma, Hideaki Yamamoto, Naoya Fujiwara, Shigeo Sato (Tohoku Univ.) NC2024-40 |
[more] | NC2024-40 pp.41-44 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-22 11:40 |
Okinawa | OIST | Hierarchical reservoir computing model with circle topology for time series prediction and anomaly detection Wenkai Yu, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ) NC2024-31 IBISML2024-31 |
Reservoir computing (RC), known for its high resource efficiency and ability to handle dynamic data, is gaining attentio... [more] | NC2024-31 IBISML2024-31 p.188 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 11:50 |
Tokushima | Naruto University of Education | Optimization of synaptic scaling rule, its implementation on modular spiking neural networks and analysis of its affects Takumi Shinkawa, Hideyuki Kato (Oita Univ.), Yoshitaka Ishikawa (FUN), Takuma Sumi, Hideaki Yamamoto (Tohoku Univ.), Yuichi Katori (FUN) NLP2023-107 MICT2023-62 MBE2023-53 |
In this study, to theoretically investigate the information processing mechanisms in the brain, we optimized synaptic sc... [more] | NLP2023-107 MICT2023-62 MBE2023-53 pp.110-113 |
| 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, NLP | 2023-01-29 14:00 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Performance Evaluation of Reservoir Computing in Cultured Neural Systems Using a Spiking Neuron Model Yoshitaka Ishikawa (Future Univ Hakodate), Takumi Shinkawa (Oita Univ), Takuma Sumi (Tohoku Univ), Hideyuki Kato (Oita Univ), Hideaki Yamamoto (Tohoku Univ), Yuichi Katori (Future Univ Hakodate) NLP2022-102 NC2022-86 |
The cultured nervous system can be regarded as a physical reservoir. Intracellular Ca2+ ion concentration is measured fr... [more] | NLP2022-102 NC2022-86 pp.112-117 |
| 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 |
| SCE | 2022-08-09 13:00 |
Online | Online | Physical Reservoir using Josephson Transmission Line for Waveform Classification Kohki Watanabe (Tohoku Univ.), Yoshinao Mizugaki (Univ.Electro-Communications), Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ.) SCE2022-6 |
Superconducting device is expected to be applied to machine learning due to its outstanding low power consumption proper... [more] | SCE2022-6 pp.30-33 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-29 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Optimization of recurrent neural network structure by controlling symmetry of weight matrix Arisa Fujimoto, Hideaki Yamamoto, Satoshi Moriya (Tohoku Univ.), Keita Tokuda (Tsukuba Univ.), Yuichi Katori (Future Univ. Hakodate), Shigeo Sato (Tohoku Univ.) NC2022-26 IBISML2022-26 |
In this study, we investigated the relationship between the strength of symmetry in a Gaussian random matrix of a recurr... [more] | NC2022-26 IBISML2022-26 pp.184-188 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-29 14:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
LSI implementation of analog CMOS majority circuit for neural network applications Satoshi Ono, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato (Tohoku Univ.) NC2022-27 IBISML2022-27 |
Majority logic circuit is a circuit whose output is the majority value of multiple binary inputs. It can be applied to b... [more] | NC2022-27 IBISML2022-27 pp.189-192 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 09:50 |
Online | Online | Analog-circuit design of STDP learning rule with linear decay and its LSI implementation Satoshi Moriya, Tatsuki Kato (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Hideaki Yamamoto, Shigeo Sato, Yoshihiko Horio (Tohoku Univ.) NC2021-40 |
Spiking neural networks (SNNs) are expected to be the next generation of information processing technology to reduce the... [more] | NC2021-40 p.44 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 10:15 |
Online | Online | Analog CMOS implementation of majority logic for neuromorphic circuit applications Satoshi Ono, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato (Tohoku Univ.) NC2021-41 |
A majority logic circuit is a circuit whose output is the majority value of multiple binary inputs. In addition to its c... [more] | NC2021-41 pp.45-48 |
| 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 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 |
| CPM | 2021-03-03 14:40 |
Online | Online | A sensing system for drug side effects on hERG channels for personalized medicine. Takaya Watanabe, Ryo Yokota, Miki Kato, Madoka Sato, Daisuke Tadaki, Maki Komiya, Hideaki Yamamoto (Tohoku Univ), Michio Niwano (Tohoku Fukushi Univ), Ayumi Hirano (Tohoku Univ) CPM2020-72 |
Ion channels regulate ion permeation through cell membranes, of which function is very important to control bioelectric ... [more] | CPM2020-72 pp.62-63 |
| CPM | 2021-03-03 14:55 |
Online | Online | A novel lipid bilayer system for functional analysis of ion channels based on intramembrane electric fields madoka sato, Maki Komiya (Tohoku Univ.), Kensaku Kanomata (Yamagata Univ.), Takaya Watanabe, Ryo Yokota, Ando Daiki, Hironori Kageyama, Teng Ma, Daisuke Tadaki, Hideaki Yamamoto (Tohoku Univ.), Fumihiko Hirose (Yamagata Univ.), Ayumi Hirano-Iwata (Tohoku Univ.) CPM2020-73 |
[more] | CPM2020-73 pp.64-65 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 15:20 |
Online | Online | Unsupervised learning based on local interactions between reservoir and readout neurons Tstuki Kato, Satoshi Moriya, Hideaki Yamamoto, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2020-12 |
Reservoir computing is suitable for implementations in edge computing devices thanks to its low computational cost and e... [more] | NC2020-12 pp.21-23 |
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