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Directional intermodular coupling enriches functional complexity in biological neuronal networks
Peer-reviewed
Nobuaki Monma, Hideaki Yamamoto, Naoya Fujiwara, Hakuba Murota, Satoshi Moriya, Ayumi Hirano-Iwata, Shigeo Sato
Neural Networks 184 106967-106967 2025/04
Publisher:
Elsevier BV
DOI：
10.1016/j.neunet.2024.106967
ISSN：
0893-6080
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Analog VLSI Implementation of Subthreshold Spiking Neural Networks and Its Application to Reservoir Computing
International-coauthorship
Peer-reviewed
Satoshi Moriya, Masaya Ishikawa, Satoshi Ono, Hideaki Yamamoto, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas, Shigeo Sato
IEEE Transactions on Circuits and Systems I: Regular Papers 2025
DOI：
10.1109/TCSI.2025.3550876
ISSN：
1558-0806 1549-8328
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Analog Circuit Implementation of Spike Timing-Dependent Plasticity for Efficient Computing
Peer-reviewed
Satoshi Moriya, Yosuke Iida, Hideaki Yamamoto, Shigeo Sato
Proc. International Symposium on Nonlinear Theory and Its Applications 508 2024/12
-
Design of Mixed-Signal LSI with Analog Spiking Neural Network and Digital Inference Circuits for Reservoir Computing
International-coauthorship
Peer-reviewed
Satoshi Moriya, Hideaki Yamamoto, Masaya Ishikawa, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas, Shigeo Sato
Proc. 2024 International Joint Conference on Neural Networks (IJCNN) 1-6 2024/06/30
Publisher:
IEEE
DOI：
10.1109/ijcnn60899.2024.10649999
-
Bifurcation phenomena observed from two-variable spiking neuron integrated circuit
Peer-reviewed
Takemori Orima, Yoshihiko Horio, Satoshi Moriya, Shigeo Sato
Proc. 2024 IEEE International Symposium on Circuits and Systems (ISCAS) 1-5 2024/05/19
Publisher:
IEEE
DOI：
10.1109/iscas58744.2024.10558075
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Numerical Study on Physical Reservoir Computing With Josephson Junctions
Peer-reviewed
Kohki Watanabe, Yoshinao Mizugaki, Satoshi Moriya, Hideaki Yamamoto, Taro Yamashita, Shigeo Sato
IEEE Transactions on Applied Superconductivity 34 (3) 1-4 2024/05
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
DOI：
10.1109/tasc.2024.3350576
ISSN：
1051-8223
eISSN：
1558-2515 2378-7074
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Memory state evaluation of spatio-temporal contextual learning memory network based on output spike rate
Peer-reviewed
Takemori Orima, Takeru Tsuji, Yoshihiko Horio, Satoshi Moriya, Shigeo Sato
Proc. International Symposium on Nonlinear Theory and Its Applications 378-381 2023/09
DOI：
10.34385/proc.76.B4L-35
-
Analog hardware implementation of spiking neural networks for edge computing
International-coauthorship
Peer-reviewed
Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas
Proc. International Symposium on Nonlinear Theory and Its Applications 317-318 2023/09
DOI：
10.34385/proc.76.B3L-32
-
Biological neurons act as generalization filters in reservoir computing
Peer-reviewed
Takuma Sumi, Hideaki Yamamoto, Yuichi Katori, Koki Ito, Satoshi Moriya, Tomohiro Konno, Shigeo Sato, Ayumi Hirano-Iwata
Proceedings of the National Academy of Sciences of the United States of America 120 (25) 2023
DOI：
10.1073/pnas.2217008120
ISSN：
1091-6490 0027-8424
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Real-Time Adaptive Physical Sensor Processing with SNN Hardware
Peer-reviewed
Jordi Madrenas, Bernardo Vallejo-Mancero, Josep Àngel Oltra-Oltra, Mireya Zapata, Jordi Cosp-Vilella, Robert Calatayud, Satoshi Moriya, Shigeo Sato
International Conference on Artificial Neural Networks (ICANN) 2023
DOI：
10.1007/978-3-031-44192-9_34
-
Ultra-low power analog CMOS implementation of spiking neural networks for reservoir computing applications
Peer-reviewed
Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas
Proceedings of International Symposium on Nonlinear Theory and Its Applications 171-172 2022/12
DOI：
10.34385/proc.71.A5L-D-01
-
A Fully Analog CMOS Implementation of a Two-variable Spiking Neuron in the Subthreshold Region and its Network Operation
Peer-reviewed
Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas
Proc. 2022 International Joint Conference on Neural Networks (IJCNN) 1-7 2022/07/18
Publisher:
IEEE
DOI：
10.1109/ijcnn55064.2022.9891920
-
An investigation of the relationship between numerical precision and performance of Q-learning for hardware implementation
Daisuke Oguchi, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato
Nonlinear Theory and Its Applications, IEICE 2022
DOI：
10.1587/nolta.13.427
-
Reservoir computing properties of in-silico/in-vitro modular neuronal networks
Sumi Takuma, Yamamoto Hideaki, Takemuro Taiki, Moriya Satoshi, Sato Shigeo, Hirano-Iwata Ayumi
JSAP Annual Meetings Extended Abstracts 2021.1 2185-2185 2021/02/26
Publisher:
The Japan Society of Applied Physics
DOI：
10.11470/jsapmeeting.2021.1.0_2185
eISSN：
2436-7613
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A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model
Shigeo Sato, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto, Yoshihiko Horio, Yasushi Yuminaka, Jordi Madrenas
177-181 2021
Publisher:
Springer International Publishing
DOI：
10.1007/978-3-030-86383-8_14
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Analog-circuit implementation of multiplicative spike-timing-dependent plasticity with linear decay
Satoshi Moriya, Tatsuki Kato, Daisuke Oguchi, Hideaki Yamamoto, Shigeo Sato, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas
Nonlinear Theory and Its Applications, IEICE 2021
DOI：
10.1587/nolta.12.685
-
Modular networks of spiking neurons for applications in time-series information processing
Satoshi Moriya, Hideaki Yamamoto, Ayumi Hirano-Iwata, Shigeru Kubota, Shigeo Sato
Nonlinear Theory and Its Applications, IEICE 2020
DOI：
10.1587/nolta.11.590
-
An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation
Peer-reviewed
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato
International Conference on Artificial Neural Networks (ICANN) 718-723 2019/09
DOI：
10.1007/978-3-030-30487-4_55
-
Mean-field analysis of directed modular networks
Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Shigeru Kubota, Shigeo Sato
Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (1) 2019/01
DOI：
10.1063/1.5044689
ISSN：
1054-1500
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Impact of modular organization on dynamical richness in cortical networks
Hideaki Yamamoto, Satoshi Moriya, Katsuya Ide, Takeshi Hayakawa, Hisanao Akima, Shigeo Sato, Shigeru Kubota, Takashi Tanii, Michio Niwano, Sara Teller, Jordi Soriano, Ayumi Hirano-Iwata
Science Advances 4 (11) 2018/11/02
Publisher:
American Association for the Advancement of Science ({AAAS})
DOI：
10.1126/sciadv.aau4914
ISSN：
2375-2548
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Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models
Peer-reviewed
Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano, Shigeru Kubota, Shigeo Sato
Proceedings of the International Joint Conference on Neural Networks 2017- 1163-1168 2017/06/30
Publisher:
Institute of Electrical and Electronics Engineers Inc.
DOI：
10.1109/IJCNN.2017.7965983
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Analogue spin-orbit torque device for artificial-neural-network-based associative memory operation
Borders, W.A., Akima, H., Fukami, S., Moriya, S., Kurihara, S., Horio, Y., Sato, S., Ohno, H.
Applied Physics Express 10 (1) 2017
DOI：
10.7567/APEX.10.013007
ISSN：
1882-0786 1882-0778
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Size-dependent regulation of synchronized activity in living neuronal networks
Yamamoto, H., Kubota, S., Chida, Y., Morita, M., Moriya, S., Akima, H., Sato, S., Hirano-Iwata, A., Tanii, T., Niwano, M.
Physical Review E 94 (1) 2016
DOI：
10.1103/PhysRevE.94.012407
ISSN：
2470-0053 2470-0045
https://orcid.org/0000-0002-7764-5806