Shigeo Sato

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Complexity Reduction of Neural Network Model for Local Motion Detection in Motion Stereo Vision

Shigeo Sato, Koji Nakajima, Jordi Madrenas, 2017, ICONIP.

LSI Implementation of Neural Network Model for Detecting Local Image Motion in Motion Stereo Vision

Shigeo Sato, Hisanao Akima, 2015 .

Study of Hardware Integration of An Artificial Neural Network with A New Analog Memory

Shigeo Sato, Koji Nakajima, Yasuji Sawada, 1994 .

Study on the performance of neuromorphic adiabatic quantum computation algorithms

Shigeo Sato, Koji Nakajima, Mitsunaga Kinjo, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Correct reaction neural network and its implementation

Shigeo Sato, Koji Nakajima, Yasuji Sawada, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

High Throughput Parallel Arithmetic Circuits for Fast Fourier Transform

Shigeo Sato, Koji Nakajima, Ryosuke Nakamoto, 2011, IEICE Trans. Electron..

LSI implementation of pulse-output neural network with programmable synapse

Shigeo Sato, Koji Nakajima, Yasuji Sawada, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Design of a Neural Network with Single Electron Devices

Shigeo Sato, Koji Nakajima, Hisanao Akima, 2000 .

Macroscopic Quantum Tunneling and Resonant Activation of Current Biased Intrinsic Josephson Junctions in Bi-2212

Shigeo Sato, Koji Nakajima, Takeshi Hatano, 2007, IEICE Trans. Electron..

Impact of modular organization on dynamical richness in cortical networks

Shigeo Sato, Hisanao Akima, Satoshi Moriya, 2018, Science Advances.

A Content-Addressable Memory Using “Switched Diffusion Analog Memory with Feedback Circuit”

Shigeo Sato, Koji Nakajima, Tomochika Harada, 1999 .

Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution

Shigeo Sato, Hisanao Akima, Masao Sakuraba, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Izhikevich neuron circuit using stochastic logic

Shigeo Sato, Koji Nakajima, Hisanao Akima, 2014 .

CMOS Majority Circuit with Large Fan-In

Shigeo Sato, Koji Nakajima, Yasuhiro Katayama, 2016, IEICE Trans. Electron..

Quantum Associative Memory with Quantum Neural Network via Adiabatic Hamiltonian Evolution

Shigeo Sato, Hisanao Akima, Masao Sakuraba, 2017, IEICE Trans. Inf. Syst..

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

Shigeo Sato, Koji Nakajima, Yasuhiro Katayama, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Quantitative Analysis of Dynamical Complexity in Cultured Neuronal Network Models for Reservoir Computing Applications

Shigeo Sato, Satoshi Moriya, Shigeru Kubota, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Characteristics of small scale nonmonotonic neuron networks having large potentiality for learning

Shigeo Sato, Koji Nakajima, Mitsunaga Kinjo, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Computational modeling of cultured neuronal networks with modular geometry

Shigeo Sato, Hisanao Akima, Satoshi Moriya, 2017 .

New Nonvolatile Analog Memories for Building Associative Memories

Shigeo Sato, Koji Nakajima, Atsushi Sato, 1999 .

Hardware Implementation of New Analog Memory for Neural Networks

Shigeo Sato, Koji Nakajima, Yasuji Sawada, 1995 .

Hardware Implementation of a DBM Network with Non-monotonic Neurons

Shigeo Sato, K. Nakajima, Mitsunaga Kinjo, 2002 .

Design of Single Electron Circuitry for a Stochastic Logic Neural Network

Shigeo Sato, Koji Nakajima, Hisanao Akima, 2004, KES.

LSI Neural Chip of Pulse-Output Network with Programmable Synapse

Shigeo Sato, Koji Nakajima, Yasuji Sawada, 1995 .

Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models

Shigeo Sato, Hisanao Akima, Satoshi Moriya, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

System for analyzing the Okklusionszustandes

Shigeo Sato, Makoto Watanabe, Tomoaki Komatsu, 1993 .

A study on DBM network with non-monotonic neurons

Shigeo Sato, Koji Nakajima, Mitsunaga Kinjo, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Implementation of a new neurochip using stochastic logic

Shigeo Sato, Koji Nakajima, Mitsunaga Kinjo, 2003, IEEE Trans. Neural Networks.

The Leaning Ability of DBM with Quantized Synapses

Shigeo Sato, Koji Nakajima, Souichi Shibata, 1997 .

Towards Efficient and Adaptive Cyber Physical Spiking Neural Integrated Systems

Shigeo Sato, Jordi Madrenas, Mireya Zapata, 2020, 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS).

Hardware Implementation of an Inverse Function Delayed Neural Network Using Stochastic Logic

Shigeo Sato, Koji Nakajima, Yoshihiro Hayakawa, 2006, IEICE Trans. Inf. Syst..

A-2-18 FPGA Implementation of a Discrete HC-ID Neural Network

Shigeo Sato, Koji Nakajima, Yoshihiro Hayakawa, 2014 .

Neuro-inspired Quantum Learning Rule Inspired by Boltzmann Machine

Shigeo Sato, Hisanao Akima, Masao Sakuraba, 2018 .

Method of Solving Combinatorial Optimization Problems with Stochastic Effects

Shigeo Sato, Koji Nakajima, Yoshihiro Hayakawa, 2011, ICONIP.

Implementation of a class of asymmetrical neural networks with application to an a‐d converter

Shigeo Sato, Koji Nakajima, Toshihiko Nishimura, 1992 .

Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network

Shigeo Sato, Koji Nakajima, Mitsunaga Kinjo, 2003, ICANN.

Implementation of a Single Electron Neural Network

Shigeo Sato, Hisanao Akima, K. Nakajima, 2003 .

An Approach for Quantum Computing using Adiabatic Evolution Algorithm

Shigeo Sato, Koji Nakajima, Shigeo Sato, 2003 .

Automatic Controller for a Head-Feeding Combine

Shigeo Sato, Yoshifumi Yukishige, Shinroku Nakajima, 1989 .

A Study on Learning with a Quantum Neural Network

Shigeo Sato, Koji Nakajima, Mitsunaga Kinjo, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Neuromorphic Adiabatic Quantum Computation

Shigeo Sato, Mitsunaga Kinjo, M. Kinjo, 2010 .

Energy Dissipation Effect on a Quantum Neural Network

Shigeo Sato, Koji Nakajima, Mitsunaga Kinjo, 2007, ICONIP.

Mean-field analysis of directed modular networks.

Shigeo Sato, Hisanao Akima, Satoshi Moriya, 2019, Chaos.

An Adaptive Threshold Decision Scheme for FSK Detector

Shigeo Sato, Kazuhiko Seki, Fangwei Tong, 2000 .

Modular networks of spiking neurons for applications in time-series information processing

Shigeo Sato, Satoshi Moriya, Shigeru Kubota, 2020, Nonlinear Theory and Its Applications, IEICE.

Image processing by using majority gates based on CCI

Shigeo Sato, Koji Nakajima, Yasuhiro Katayama, 2000 .

Hardware-Software Co-Design for Efficient and Scalable Real-Time Emulation of SNNs on the Edge

Shigeo Sato, Jordi Madrenas, Mireya Zapata, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Computational Efficiency of a Modular Reservoir Network for Image Recognition

Shigeo Sato, Masao Sakuraba, Hideaki Yamamoto, 2021, Frontiers in Computational Neuroscience.

Learning Rule for a Quantum Neural Network Inspired by Hebbian Learning

Shigeo Sato, Hisanao Akima, Masao Sakuraba, 2021, IEICE Trans. Inf. Syst..

Integrated Circuits of Map Chaos Generators

Shigeo Sato, Koji Nakajima, Hidetoshi Tanaka, 1999 .

Evaluation of compressive deformation behavior of Zr55Al10Ni5Cu30 bulk metallic glass containing ZrC particles by synchrotron X-ray diffraction

Shigeo Sato, Takahisa Shobu, Hidemi Kato, 2012 .

Size-dependent regulation of synchronized activity in living neuronal networks.

Shigeo Sato, Hisanao Akima, Satoshi Moriya, 2016, Physical review. E.