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Shigeo Sato
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2020 – today
- 2024
- [c22]Satoshi Moriya, Hideaki Yamamoto, Masaya Ishikawa, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas, Shigeo Sato:
Design of Mixed-Signal LSI with Analog Spiking Neural Network and Digital Inference Circuits for Reservoir Computing. IJCNN 2024: 1-6 - [c21]Takemori Orima, Yoshihiko Horio, Satoshi Moriya, Shigeo Sato:
Bifurcation phenomena observed from two-variable spiking neuron integrated circuit. ISCAS 2024: 1-5 - 2023
- [c20]Jordi Madrenas
, Bernardo Vallejo Mancero
Real-Time Adaptive Physical Sensor Processing with SNN Hardware. ICANN (5) 2023: 423-434 - 2022
- [c19]Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas:
A Fully Analog CMOS Implementation of a Two-variable Spiking Neuron in the Subthreshold Region and its Network Operation. IJCNN 2022: 1-7 - 2021
- [j9]Yifan Dai, Hideaki Yamamoto
Computational Efficiency of a Modular Reservoir Network for Image Recognition. Frontiers Comput. Neurosci. 15: 594337 (2021) - [j8]Yoshihiro Osakabe, Shigeo Sato, Hisanao Akima, Mitsunaga Kinjo, Masao Sakuraba:
Learning Rule for a Quantum Neural Network Inspired by Hebbian Learning. IEICE Trans. Inf. Syst. 104-D(2): 237-245 (2021) - [c18]Shigeo Sato
A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. ICANN (5) 2021: 177-181 - [c17]Josep Angel Oltra
Hardware-Software Co-Design for Efficient and Scalable Real-Time Emulation of SNNs on the Edge. ISCAS 2021: 1-5 - 2020
- [c16]Jordi Madrenas, Mireya Zapata
Towards Efficient and Adaptive Cyber Physical Spiking Neural Integrated Systems. ICECS 2020: 1-4
2010 – 2019
- 2019
- [c15]Yuki Tamura
An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation. ICANN (1) 2019: 718-723 - [c14]Satoshi Moriya, Hideaki Yamamoto
Quantitative Analysis of Dynamical Complexity in Cultured Neuronal Network Models for Reservoir Computing Applications. IJCNN 2019: 1-6 - 2017
- [j7]Yoshihiro Osakabe, Hisanao Akima, Masao Sakuraba
Quantum Associative Memory with Quantum Neural Network via Adiabatic Hamiltonian Evolution. IEICE Trans. Inf. Syst. 100-D(11): 2683-2689 (2017) - [c13]Hisanao Akima, Susumu Kawakami, Jordi Madrenas
Complexity Reduction of Neural Network Model for Local Motion Detection in Motion Stereo Vision. ICONIP (6) 2017: 830-839 - [c12]Yoshihiro Osakabe, Shigeo Sato
Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution. IJCNN 2017: 803-807 - [c11]Satoshi Moriya, Hideaki Yamamoto
Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models. IJCNN 2017: 1163-1168 - 2016
- [j6]Hisanao Akima, Yasuhiro Katayama, Masao Sakuraba
CMOS Majority Circuit with Large Fan-In. IEICE Trans. Electron. 99-C(9): 1056-1064 (2016) - 2014
- [c10]Hisanao Akima, Yasuhiro Katayama, Koji Nakajima, Masao Sakuraba
Majority neuron circuit having large fan-in with non-volatile synaptic weight. IJCNN 2014: 4266-4271 - 2012
- [c9]Hironori Sakamoto, Shigetaka Kumashiro, Shigeo Sato, Naoki Wakita, Tohru Mogami
HiSIM-RP: A reverse-profiling based 1st principles compact MOSFET model and its application to variability analysis of 90nm and 40nm CMOS. ISQED 2012: 553-560 - 2011
- [j5]Ryosuke Nakamoto, Sakae Sakuraba, Alexandre Martins, Takeshi Onomi, Shigeo Sato
High Throughput Parallel Arithmetic Circuits for Fast Fourier Transform. IEICE Trans. Electron. 94-C(3): 280-287 (2011) - [c8]Takahiro Sota, Yoshihiro Hayakawa, Shigeo Sato
Method of Solving Combinatorial Optimization Problems with Stochastic Effects. ICONIP (3) 2011: 389-394
2000 – 2009
- 2009
- [j4]Shigeo Sato, Koji Nakajima:
Application of Single Electron Devices Utilizing Stochastic Dynamics. Int. J. Nanotechnol. Mol. Comput. 1(2): 29-42 (2009) - 2008
- [c7]Aiko Ono, Shigeo Sato
Study on the performance of neuromorphic adiabatic quantum computation algorithms. IJCNN 2008: 2507-2511 - 2007
- [j3]Shigeo Sato
Macroscopic Quantum Tunneling and Resonant Activation of Current Biased Intrinsic Josephson Junctions in Bi-2212. IEICE Trans. Electron. 90-C(3): 599-604 (2007) - [c6]Mitsunaga Kinjo, Shigeo Sato
Energy Dissipation Effect on a Quantum Neural Network. ICONIP (2) 2007: 730-737 - 2006
- [j2]Hongge Li, Yoshihiro Hayakawa, Shigeo Sato
Hardware Implementation of an Inverse Function Delayed Neural Network Using Stochastic Logic. IEICE Trans. Inf. Syst. 89-D(9): 2572-2578 (2006) - [c5]Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima:
A Study on Learning with a Quantum Neural Network. IJCNN 2006: 203-206 - 2004
- [c4]Hisanao Akima, Shigeo Sato, Koji Nakajima:
Design of Single Electron Circuitry for a Stochastic Logic Neural Network. KES 2004: 1010-1016 - 2003
- [j1]Shigeo Sato
Implementation of a new neurochip using stochastic logic. IEEE Trans. Neural Networks 14(5): 1122-1127 (2003) - [c3]Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima:
Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network. ICANN 2003: 951-958 - 2000
- [c2]Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima:
Characteristics of Small Scale Non-Monotonic Neuron Networks Having Large Potentiality for Learning. IJCNN (4) 2000: 171-176
1990 – 1999
- 1999
- [c1]Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima:
A study on DBM network with non-monotonic neurons. IJCNN 1999: 2347-2350
Coauthor Index
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