A study on DBM network with non-monotonic neurons. - Mitsunaga Kinjo; Shigeo Sato; Koji Nakajima (IJCNN, 1999)

Characteristics of Small Scale Non-Monotonic Neuron Networks Having Large Potentiality for Learning. - Mitsunaga Kinjo; Shigeo Sato; Koji Nakajima (IJCNN (4), 2000)

Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network. - Mitsunaga Kinjo; Shigeo Sato; Koji Nakajima (ICANN, 2003)

Implementation of a new neurochip using stochastic logic. - Shigeo Sato; Ken Nemoto; S. Akimoto; Mitsunaga Kinjo; Koji Nakajima (IEEE Trans. Neural Networks, 2003)

Implementation of a large scale hardware neural network system based on stochastic logic. - Akiyoshi Momoi; Shunsuke Akimoto; Shigeo Sato; Koji Nakajima (IJCNN, 2004)

A study on neuromorphic quantum computation. - Shigeo Sato; Mitsunaga Kinjo; Osamu Takahashi; Yuuki Nakamiya; Koji Nakajima (IJCNN, 2004)

Design of Single Electron Circuitry for a Stochastic Logic Neural Network. - Hisanao Akima; Shigeo Sato; Koji Nakajima (KES, 2004)

Basic property of a quantum neural network composed of Kane's qubits. - Yuuki Nakamiya; Mitsunaga Kinjo; Osamu Takahashi; Shigeo Sato; Koji Nakajima (IJCNN, 2005)

A Study on Learning with a Quantum Neural Network. - Mitsunaga Kinjo; Shigeo Sato; Koji Nakajima (IJCNN, 2006)

Hardware Implementation of an Inverse Function Delayed Neural Network Using Stochastic Logic. - Hongge Li; Yoshihiro Hayakawa; Shigeo Sato; Koji Nakajima (IEICE Trans. Inf. Syst., 2006)

Energy Dissipation Effect on a Quantum Neural Network. - Mitsunaga Kinjo; Shigeo Sato; Koji Nakajima (ICONIP (2), 2007)

Macroscopic Quantum Tunneling and Resonant Activation of Current Biased Intrinsic Josephson Junctions in Bi-2212. - Shigeo Sato; Kunihiro Inomata; Mitsunaga Kinjo; Nobuhiro Kitabatake; Koji Nakajima; Huabing Wang; Takeshi Hatano (IEICE Trans. Electron., 2007)

Study on the performance of neuromorphic adiabatic quantum computation algorithms. - Aiko Ono; Shigeo Sato; Mitsunaga Kinjo; Koji Nakajima (IJCNN, 2008)

Application of Single Electron Devices Utilizing Stochastic Dynamics. - Shigeo Sato; Koji Nakajima (Int. J. Nanotechnol. Mol. Comput., 2009)

Method of Solving Combinatorial Optimization Problems with Stochastic Effects. - Takahiro Sota; Yoshihiro Hayakawa; Shigeo Sato; Koji Nakajima (ICONIP (3), 2011)

High Throughput Parallel Arithmetic Circuits for Fast Fourier Transform. - Ryosuke Nakamoto; Sakae Sakuraba; Alexandre Martins; Takeshi Onomi; Shigeo Sato; Koji Nakajima (IEICE Trans. Electron., 2011)

HiSIM-RP: A reverse-profiling based 1st principles compact MOSFET model and its application to variability analysis of 90nm and 40nm CMOS. - Hironori Sakamoto; Shigetaka Kumashiro; Shigeo Sato; Naoki Wakita; Tohru Mogami (ISQED, 2012)

Majority neuron circuit having large fan-in with non-volatile synaptic weight. - Hisanao Akima; Yasuhiro Katayama; Koji Nakajima; Masao Sakuraba; Shigeo Sato (IJCNN, 2014)

CMOS Majority Circuit with Large Fan-In. - Hisanao Akima; Yasuhiro Katayama; Masao Sakuraba; Koji Nakajima; Jordi Madrenas; Shigeo Sato (IEICE Trans. Electron., 2016)

Complexity Reduction of Neural Network Model for Local Motion Detection in Motion Stereo Vision. - Hisanao Akima; Susumu Kawakami; Jordi Madrenas; Satoshi Moriya; Masafumi Yano; Koji Nakajima; Masao Sakuraba; Shigeo Sato (ICONIP (6), 2017)

Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models. - Satoshi Moriya; Hideaki Yamamoto; Hisanao Akima; Ayumi Hirano-Iwata; Michio Niwano; Shigeru Kubota; Shigeo Sato (IJCNN, 2017)

Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution. - Yoshihiro Osakabe; Shigeo Sato; Hisanao Akima; Masao Sakuraba; Mitsunaga Kinjo (IJCNN, 2017)

Quantum Associative Memory with Quantum Neural Network via Adiabatic Hamiltonian Evolution. - Yoshihiro Osakabe; Hisanao Akima; Masao Sakuraba; Mitsunaga Kinjo; Shigeo Sato (IEICE Trans. Inf. Syst., 2017)

An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation. - Yuki Tamura; Satoshi Moriya; Tatsuki Kato; Masao Sakuraba; Yoshihiko Horio; Shigeo Sato (ICANN (1), 2019)

Quantitative Analysis of Dynamical Complexity in Cultured Neuronal Network Models for Reservoir Computing Applications. - Satoshi Moriya; Hideaki Yamamoto; Ayumi Hirano-Iwata; Shigeru Kubota; Shigeo Sato (IJCNN, 2019)

Towards Efficient and Adaptive Cyber Physical Spiking Neural Integrated Systems. - Jordi Madrenas; Mireya Zapata; Daniel Fernández; Josep Maria Sánchez-Chiva; Juan Valle; Diana Mata-Hernandez; Josep Angel Oltra; Jordi Cosp-Vilella; Shigeo Sato (ICECS, 2020)

A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. - Shigeo Sato; Satoshi Moriya; Yuka Kanke; Hideaki Yamamoto; Yoshihiko Horio; Yasushi Yuminaka; Jordi Madrenas (ICANN (5), 2021)

Hardware-Software Co-Design for Efficient and Scalable Real-Time Emulation of SNNs on the Edge. - Josep Angel Oltra; Jordi Madrenas; Mireya Zapata; Bernardo Vallejo Mancero; Diana Mata-Hernandez; Shigeo Sato (ISCAS, 2021)

Computational Efficiency of a Modular Reservoir Network for Image Recognition. - Yifan Dai; Hideaki Yamamoto; Masao Sakuraba; Shigeo Sato (Frontiers Comput. Neurosci., 2021)

Learning Rule for a Quantum Neural Network Inspired by Hebbian Learning. - Yoshihiro Osakabe; Shigeo Sato; Hisanao Akima; Mitsunaga Kinjo; Masao Sakuraba (IEICE Trans. Inf. Syst., 2021)

A Fully Analog CMOS Implementation of a Two-variable Spiking Neuron in the Subthreshold Region and its Network Operation. - Satoshi Moriya; Hideaki Yamamoto; Shigeo Sato; Yasushi Yuminaka; Yoshihiko Horio; Jordi Madrenas (IJCNN, 2022)

Real-Time Adaptive Physical Sensor Processing with SNN Hardware. - Jordi Madrenas; Bernardo Vallejo Mancero; Josep Angel Oltra; Mireya Zapata; Jordi Cosp-Vilella; Robert Calatayud; Satoshi Moriya; Shigeo Sato (ICANN (5), 2023)

Design of Mixed-Signal LSI with Analog Spiking Neural Network and Digital Inference Circuits for Reservoir Computing. - Satoshi Moriya; Hideaki Yamamoto; Masaya Ishikawa; Yasushi Yuminaka; Yoshihiko Horio; Jordi Madrenas; Shigeo Sato (IJCNN, 2024)

Bifurcation phenomena observed from two-variable spiking neuron integrated circuit. - Takemori Orima; Yoshihiko Horio; Satoshi Moriya; Shigeo Sato (ISCAS, 2024)

Event-Driven Inference with Spiking Neural Networks Enhanced by Non-Volatile Analog Spin-Orbit Torque Devices. - Satoshi Moriya; Yosuke Iida; Aurélien Lagarrigue; K. Vihanga De Zoysa; Masaya Ishikawa; Hideaki Yamamoto; Sunsuke Fukami; Shigeo Sato (ISCAS, 2025)

Analog CMOS Spiking Neural Network for Time-Series Signal Recognition. - Shigeo Sato; Satoshi Moriya; Masaya Ishikawa; Hideaki Yamamoto (ISMVL, 2025)

Directional intermodular coupling enriches functional complexity in biological neuronal networks. - Nobuaki Monma; Hideaki Yamamoto; Naoya Fujiwara; Hakuba Murota; Satoshi Moriya; Ayumi Hirano-Iwata; Shigeo Sato (Neural Networks, 2025)