Weibull analysis of the kinetics of resistive switches based on tantalum oxide thin films. - Yoshifumi Nishi; Sebastian Schmelzer; Ulrich Böttger; Rainer Waser (ESSDERC, 2013)

Simulation of TaOx-based complementary resistive switches by a physics-based memristive model. - Anne Siemon; Stephan Menzel; Astrid Marchewka; Yoshifumi Nishi; Rainer Waser; Eike Linn (ISCAS, 2014)

Proposal, analysis and demonstration of Analog/Digital-mixed Neural Networks based on memristive device arrays. - Takao Marukame; Kumiko Nomura; Mari Matusmoto; Satoshi Takaya; Yoshifumi Nishi (ISCAS, 2018)

Live Demonstration: A prototype of Analog/Digital-mixed Neural Networks for reconfigurable learning. - Takao Marukame; Yutaka Tamura; Koji Takahashi; Toshimitsu Kitamura; Takashi Takebayashi; Yoshifumi Nishi (ISCAS, 2018)

Live Demonstration: Low-Power Static Neural Network Circuits for Long-Term Change Detection. - Takao Marukame; Toshimitsu Kitamura; Junichi Sugino; Kazuo Ishikawa; Koji Takahashi; Yutaka Tamura; Yoshifumi Nishi (ISCAS, 2019)

Nonlinear Operation of Static-Binary Neuron Circuits and Dynamic Memristive Devices for STDP Learning. - Takao Marukame; Junichi Sugino; Toshimitsu Kitamura; Kazuo Ishikawa; Koji Takahashi; Yutaka Tamura; Radu Berdan; Kumiko Nomura; Yoshifumi Nishi (ISCAS, 2019)

Dynamic Firing on Static Analog/Digital Neuron Circuits with Resistive Synapses for Time-Series Neural Network. - Takao Marukame; Junichi Sugino; Toshimitsu Kitamura; Kazuo Ishikawa; Koji Takahashi; Yutaka Tamura; Kumiko Nomura; Koichi Mizushima; Yoshifumi Nishi (ISCAS, 2020)

Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation. - Kumiko Nomura; Yoshifumi Nishi (CoRR, 2024)