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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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)
 [more]
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
CPM 2020-02-28
16:00
Tokyo Presentation Rm., KCB01, Tokyo Univ. of Technol.
(Cancelled but technical report was issued)
Development of a hERG channel sensor for evaluation of drug side effects
Takaya Watanabe, Ryo Yokota, Miki Kato, Madoka Sato, Daisuke Tadaki, Maki Komiya, Hideaki Yamamoto (Tohoku Univ), Haruka Inoue, Yuzuru Tozawa (Saitama Univ), Michio Niwano (Tohoku Fukushi Univ), Ayumi Hirano (Tohoku Univ) CPM2019-99
 [more] CPM2019-99
pp.33-34
ED 2019-04-18
15:45
Miyagi RIEC, Tohoku Univ. Construction of an artificial cell membrane device and its application to a sensor for drug side effects
Ayumi Hirano-Iwata, Daisuke Tadaki, Daichi Yamaura, Miki Kato, Maki Komiya (Tohoku Univ.), Haruka Inoue, Yuzuru Tozawa (Saitama Univ.), Teng Ma, Hideaki Yamamoto (Tohoku Univ.), Michio Niwano (Tohoku Fukushi Univ.) ED2019-7
Ion channel proteins are membrane proteins that regulate ion flows across cell membranes and have attracted attention no... [more] ED2019-7
pp.23-26
CPM 2019-03-01
11:30
Tokyo   Quantitative assessment of drug side effect on hERG channels based on artificial bilayer lipid membranes and cell-free expression system
Ryo yokota, Miki Kato, Daichi Yamaura, Yusuke Tsuneta, Madoka Sato, Daisuke Tadaki, Maki Komiya, Hideaki Yamamoto (Tohoku Univ.), Haruka Inoue, Yuzuru Tozawa (Saitama Univ.), Michio Niwano (Tohoku Fukushi Univ.), Ayumi Hirano-Iwata (Tohoku Univ.) CPM2018-119
We aim to develop a drug screening system based on a reconstitution system, in which an ion channel is embedded in an ar... [more] CPM2018-119
pp.75-76
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