Shigeo Sato

According to our database, Shigeo Sato authored at least 28 papers between 1999 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Computational Efficiency of a Modular Reservoir Network for Image Recognition.

Yifan Dai, Hideaki Yamamoto, Masao Sakuraba, Shigeo Sato

Frontiers Comput. Neurosci., 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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model.

Shigeo Sato, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto, Yoshihiko Horio, Yasushi Yuminaka, Jordi Madrenas

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

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

Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

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

Proceedings of the International Joint Conference on Neural Networks, 2019

An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation.

Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

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

Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution.

Yoshihiro Osakabe, Shigeo Sato, Hisanao Akima, Masao Sakuraba, Mitsunaga Kinjo

Proceedings of the 2017 International Joint Conference on Neural Networks, 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

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

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

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

CMOS Majority Circuit with Large Fan-In.

Hisanao Akima, Yasuhiro Katayama, Masao Sakuraba, Koji Nakajima, Jordi Madrenas, Shigeo Sato

IEICE Trans. Electron., 2016

2014

Majority neuron circuit having large fan-in with non-volatile synaptic weight.

Hisanao Akima, Yasuhiro Katayama, Koji Nakajima, Masao Sakuraba, Shigeo Sato

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

HiSIM-RP: A reverse-profiling based 1^st 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

Proceedings of the Thirteenth International Symposium on Quality Electronic Design, 2012

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

Method of Solving Combinatorial Optimization Problems with Stochastic Effects.

Takahiro Sota, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2009

Application of Single Electron Devices Utilizing Stochastic Dynamics.

Shigeo Sato, Koji Nakajima

Int. J. Nanotechnol. Mol. Comput., 2009

2008

Study on the performance of neuromorphic adiabatic quantum computation algorithms.

Aiko Ono, Shigeo Sato, Mitsunaga Kinjo, Koji Nakajima

Proceedings of the International Joint Conference on Neural Networks, 2008

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

Energy Dissipation Effect on a Quantum Neural Network.

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

Proceedings of the Neural Information Processing, 14th International Conference, 2007

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

A Study on Learning with a Quantum Neural Network.

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

Proceedings of the International Joint Conference on Neural Networks, 2006

2004

Design of Single Electron Circuitry for a Stochastic Logic Neural Network.

Hisanao Akima, Shigeo Sato, Koji Nakajima

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2003

Implementation of a new neurochip using stochastic logic.

Shigeo Sato, Ken Nemoto, S. Akimoto, Mitsunaga Kinjo, Koji Nakajima

IEEE Trans. Neural Networks, 2003

Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network.

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2000

Characteristics of Small Scale Non-Monotonic Neuron Networks Having Large Potentiality for Learning.

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

A study on DBM network with non-monotonic neurons.

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

Proceedings of the International Joint Conference Neural Networks, 1999