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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 58  /  [Next]  
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
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
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
NC, MBE
(Joint)
2020-03-06
13:25
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Modular Reservoir Network for Pattern Recognition
Yifan Dai, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2019-110
This work is based on liquid state machine (LSM) [1], which is a reservoir network [2] that yields deep relationship wit... [more] NC2019-110
p.199
MBE, NC 2019-10-12
11:45
Miyagi   LSI Implementation and Its Evaluation of an Izhikevich Model Neuron Analog MOS Circuit
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Shigeo Sato, Yoshihiko Horio (Tohoku Univ.) MBE2019-44 NC2019-35
The Izhikevich neuron model, which can reproduce various spike activities with a small amount of calculation, is indispe... [more] MBE2019-44 NC2019-35
pp.69-73
NC, MBE
(Joint)
2019-03-04
16:10
Tokyo University of Electro Communications Proposal of an Izhikevich Model Neuron MOS Circuit
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato (Tohoku Univ.) NC2018-60
The Izhikevich neuron model, which can reproduce various spike activities with a small amount of calculation, is indispe... [more] NC2018-60
p.93
NC, MBE
(Joint)
2018-10-19
14:00
Miyagi Tohoku Univ. A study on an Izhikevich Model Neuron MOS Circuit
Yuki Tamura, Satoshi Moriya, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2018-13
The Izhikevich neuron, which can reproduce various spike activities with a small amount of calculation, is indispensable... [more] NC2018-13
pp.1-5
NC, MBE
(Joint)
2018-10-19
14:25
Miyagi Tohoku Univ. Functional complexity in neuronal network models with hierarchically modular organization
Zhixiong Chen, Hideaki Yamamoto, Satoshi Moriya, Katsuya Ide (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato, Ayumi Hirano-Iwata (Tohoku Univ.) NC2018-14
Research and development of hardware and architectures that imitate the information processing mechanism of brains is be... [more] NC2018-14
pp.7-12
NC, MBE
(Joint)
2018-10-19
14:50
Miyagi Tohoku Univ. Excitatory-inhibitory balance and network dynamics in modular neuronal network models
Satoshi Moriya, Hideaki Yamamoto, Zhixiong Chen, Katsuya Ide, Kei Wakimura, Ayumi Hirano-Iwata (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.) NC2018-15
A brainmorphic information processing system that is inspired brain functions has the ability to execute information pro... [more] NC2018-15
pp.13-17
MBE, NC
(Joint)
2018-03-13
13:10
Tokyo Kikai-Shinko-Kaikan Bldg. Visual processing system for spatial perception based on motion stereo vision
Shota Kurihara, Hisanao Akima, Susumu Kawakami (Tohoku Univ.), Jordi Madrenas (UPC), Satoshi Moriya, Masafumi Yano, Koji Nakajima, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2017-82
 [more] NC2017-82
pp.85-90
MBE, NC
(Joint)
2017-11-24
13:00
Miyagi Tohoku University Spatial Perception System based on Neural Network Model for Motion Stereo Vision
Shota Kurihara, Hisanao Akima, Susumu Kawakami (Tohoku Univ.), Jordi Madrenas (UPC), Satoshi Moriya, Masafumi Yano, Koji Nakajima, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2017-27
 [more] NC2017-27
pp.1-6
MBE, NC
(Joint)
2017-11-24
16:00
Miyagi Tohoku University Mechanisms of synchronization in modular neuronal network models
Satoshi Moriya, Hideaki Yamamoto, Katsuya Ide, Hisanao Akima, Ayumi Hirano-Iwata (Tohoku Univ.), Michio Niwano (Tohoku Fukushi Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.) NC2017-30
Inspired by the brain's structure and function, hardware based on non-von Neumann architecture is rapidly being develope... [more] NC2017-30
pp.19-23
MRIS, ITE-MMS 2017-10-19
13:45
Niigata Kashiwazaki energy hall, Niigata [Invited Talk] Analog spintronics devices and its application to artificial neural networks
Hisanao Akima, William Borders, Shunsuke Fukami, Satoshi Moriya, Shouta Kurihara, Aleksandr Kurenkov, Yoshihiko Horio, Shigeo Sato, Hideo Ohno (Tohoku Univ.) MR2017-18
Developing dedicated integrated circuits operating with low power consumption is indispensable to realize a large scale ... [more] MR2017-18
pp.7-12
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