Separation by Bonding Si Islands (SBSI) for Advanced CMOS LSI Applications. - Takashi Yamazaki; Shun'ichiro Ohmi; Shinya Morita; Hiroyuki Ohri; Junichi Murota; Masao Sakuraba; Hiroo Omi; Tetsushi Sakai (IEICE Trans. Electron., 2005)

X-Ray Photoemission Study of SiO2/Si/Si0.55Ge0.45/Si Heterostructures. - Akio Ohta; Katsunori Makihara; Seiichi Miyazaki; Masao Sakuraba; Junichi Murota (IEICE Trans. Electron., 2013)

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)

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)

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)