Shigeo Sato

39 papers B 13C 4Journal 12Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Analog CMOS Spiking Neural Network for Time-Series Signal Recognition.
ISMVL
Shigeo Sato, Satoshi Moriya, Masaya Ishikawa, Hideaki Yamamoto
2025 J jnl
Analog VLSI Implementation of Subthreshold Spiking Neural Networks and Its Application to Reservoir Computing.
IEEE Trans. Circuits Syst. I Regul. Pap.
Satoshi Moriya, Masaya Ishikawa, Satoshi Ono, Hideaki Yamamoto, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas, Shigeo Sato
2025 J jnl
Directional intermodular coupling enriches functional complexity in biological neuronal networks.
Neural Networks
Nobuaki Monma, Hideaki Yamamoto, Naoya Fujiwara, Hakuba Murota, Satoshi Moriya, Ayumi Hirano-Iwata, Shigeo Sato
2025 J jnl
Efficient connectivity and intrinsic noise separation in recurrent spiking neural networks trained with e-prop.
Neuromorph. Comput. Eng.
Davide Noè, Hideaki Yamamoto, Yuichi Katori, Shigeo Sato
2025 C conf
Event-Driven Inference with Spiking Neural Networks Enhanced by Non-Volatile Analog Spin-Orbit Torque Devices.
ISCAS
Satoshi Moriya, Yosuke Iida, Aurélien Lagarrigue, K. Vihanga De Zoysa, Masaya Ishikawa, Hideaki Yamamoto, Sunsuke Fukami, Shigeo Sato
2024 C conf
Bifurcation phenomena observed from two-variable spiking neuron integrated circuit.
ISCAS
Takemori Orima, Yoshihiko Horio, Satoshi Moriya, Shigeo Sato
2024 B conf
Design of Mixed-Signal LSI with Analog Spiking Neural Network and Digital Inference Circuits for Reservoir Computing.
IJCNN
Satoshi Moriya, Hideaki Yamamoto, Masaya Ishikawa, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas, Shigeo Sato
2023 — conf
Real-Time Adaptive Physical Sensor Processing with SNN Hardware.
ICANN (5)
Jordi Madrenas, Bernardo Vallejo Mancero, Josep Angel Oltra, Mireya Zapata, Jordi Cosp-Vilella, Robert Calatayud, Satoshi Moriya, Shigeo Sato
2022 B conf
A Fully Analog CMOS Implementation of a Two-variable Spiking Neuron in the Subthreshold Region and its Network Operation.
IJCNN
Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas
2021 — conf
A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model.
ICANN (5)
Shigeo Sato, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto, Yoshihiko Horio, Yasushi Yuminaka, Jordi Madrenas
2021 J jnl
Computational Efficiency of a Modular Reservoir Network for Image Recognition.
Frontiers Comput. Neurosci.
Yifan Dai, Hideaki Yamamoto, Masao Sakuraba, Shigeo Sato
2021 C conf
Hardware-Software Co-Design for Efficient and Scalable Real-Time Emulation of SNNs on the Edge.
ISCAS
Josep Angel Oltra, Jordi Madrenas, Mireya Zapata, Bernardo Vallejo Mancero, Diana Mata-Hernandez, Shigeo Sato
2021 J jnl
Learning Rule for a Quantum Neural Network Inspired by Hebbian Learning.
IEICE Trans. Inf. Syst.
Yoshihiro Osakabe, Shigeo Sato, Hisanao Akima, Mitsunaga Kinjo, Masao Sakuraba
2020 — conf
Towards Efficient and Adaptive Cyber Physical Spiking Neural Integrated Systems.
ICECS
Jordi Madrenas, Mireya Zapata, Daniel Fernández, Josep Maria Sánchez-Chiva, Juan Valle, Diana Mata-Hernandez, Josep Angel Oltra, Jordi Cosp-Vilella, Shigeo Sato
2019 — conf
An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation.
ICANN (1)
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato
2019 B conf
Quantitative Analysis of Dynamical Complexity in Cultured Neuronal Network Models for Reservoir Computing Applications.
IJCNN
Satoshi Moriya, Hideaki Yamamoto, Ayumi Hirano-Iwata, Shigeru Kubota, Shigeo Sato
2017 — conf
Complexity Reduction of Neural Network Model for Local Motion Detection in Motion Stereo Vision.
ICONIP (6)
Hisanao Akima, Susumu Kawakami, Jordi Madrenas, Satoshi Moriya, Masafumi Yano, Koji Nakajima, Masao Sakuraba, Shigeo Sato
2017 B conf
Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models.
IJCNN
Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano, Shigeru Kubota, Shigeo Sato
2017 B conf
Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution.
IJCNN
Yoshihiro Osakabe, Shigeo Sato, Hisanao Akima, Masao Sakuraba, Mitsunaga Kinjo
2017 J jnl
Quantum Associative Memory with Quantum Neural Network via Adiabatic Hamiltonian Evolution.
IEICE Trans. Inf. Syst.
Yoshihiro Osakabe, Hisanao Akima, Masao Sakuraba, Mitsunaga Kinjo, Shigeo Sato
2016 J jnl
CMOS Majority Circuit with Large Fan-In.
IEICE Trans. Electron.
Hisanao Akima, Yasuhiro Katayama, Masao Sakuraba, Koji Nakajima, Jordi Madrenas, Shigeo Sato
2014 B conf
Majority neuron circuit having large fan-in with non-volatile synaptic weight.
IJCNN
Hisanao Akima, Yasuhiro Katayama, Koji Nakajima, Masao Sakuraba, Shigeo Sato
2012 — conf
HiSIM-RP: A reverse-profiling based 1
ISQED
Hironori Sakamoto, Shigetaka Kumashiro, Shigeo Sato, Naoki Wakita, Tohru Mogami
2011 J jnl
High Throughput Parallel Arithmetic Circuits for Fast Fourier Transform.
IEICE Trans. Electron.
Ryosuke Nakamoto, Sakae Sakuraba, Alexandre Martins, Takeshi Onomi, Shigeo Sato, Koji Nakajima
2011 — conf
Method of Solving Combinatorial Optimization Problems with Stochastic Effects.
ICONIP (3)
Takahiro Sota, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima
2009 J jnl
Application of Single Electron Devices Utilizing Stochastic Dynamics.
Int. J. Nanotechnol. Mol. Comput.
Shigeo Sato, Koji Nakajima
2008 B conf
Study on the performance of neuromorphic adiabatic quantum computation algorithms.
IJCNN
Aiko Ono, Shigeo Sato, Mitsunaga Kinjo, Koji Nakajima
2007 — conf
Energy Dissipation Effect on a Quantum Neural Network.
ICONIP (2)
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima
2007 J jnl
Macroscopic Quantum Tunneling and Resonant Activation of Current Biased Intrinsic Josephson Junctions in Bi-2212.
IEICE Trans. Electron.
Shigeo Sato, Kunihiro Inomata, Mitsunaga Kinjo, Nobuhiro Kitabatake, Koji Nakajima, Huabing Wang, Takeshi Hatano
2006 B conf
A Study on Learning with a Quantum Neural Network.
IJCNN
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima
2006 J jnl
Hardware Implementation of an Inverse Function Delayed Neural Network Using Stochastic Logic.
IEICE Trans. Inf. Syst.
Hongge Li, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima
2005 B conf
Basic property of a quantum neural network composed of Kane's qubits.
IJCNN
Yuuki Nakamiya, Mitsunaga Kinjo, Osamu Takahashi, Shigeo Sato, Koji Nakajima
2004 B conf
A study on neuromorphic quantum computation.
IJCNN
Shigeo Sato, Mitsunaga Kinjo, Osamu Takahashi, Yuuki Nakamiya, Koji Nakajima
2004 B conf
Design of Single Electron Circuitry for a Stochastic Logic Neural Network.
KES
Hisanao Akima, Shigeo Sato, Koji Nakajima
2004 B conf
Implementation of a large scale hardware neural network system based on stochastic logic.
IJCNN
Akiyoshi Momoi, Shunsuke Akimoto, Shigeo Sato, Koji Nakajima
2003 J jnl
Implementation of a new neurochip using stochastic logic.
IEEE Trans. Neural Networks
Shigeo Sato, Ken Nemoto, S. Akimoto, Mitsunaga Kinjo, Koji Nakajima
2003 C conf
Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network.
ICANN
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima
2000 — conf
Characteristics of Small Scale Non-Monotonic Neuron Networks Having Large Potentiality for Learning.
IJCNN (4)
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima
1999 B conf
A study on DBM network with non-monotonic neurons.
IJCNN
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima