Physical understanding of electron mobility in uniaxially strained InGaAs-OI MOSFETs. - SangHyeon Kim; Masafumi Yokoyama; Yuki Ikku; Ryosho Nakane; Osamu Ichikawa; Takenori Osada; Masahiko Hata; Mitsuru Takenaka; Shinichi Takagi (ESSDERC, 2013)

Monolithic integration of pseudo-spin-MOSFETs using a custom CMOS chip fabricated through multi-project wafer service. - Ryosho Nakane; Yusuke Shuto; Hiroaki Sukegawa; Zhenchao Wen; Shuu'ichirou Yamamoto; Seiji Mitani; Masaaki Tanaka; Koichiro Inomata; Satoshi Sugahara (ESSDERC, 2013)

Hopfield-Type Associative Memory with Sparse Modular Networks. - Gouhei Tanaka; Toshiyuki Yamane; Daiju Nakano; Ryosho Nakane; Yasunao Katayama (ICONIP (1), 2014)

Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators. - Toshiyuki Yamane; Yasunao Katayama; Ryosho Nakane; Gouhei Tanaka; Daiju Nakano (ICONIP (3), 2015)

Regularity and randomness in modular network structures for neural associative memories. - Gouhei Tanaka; Toshiyuki Yamane; Daiju Nakano; Ryosho Nakane; Yasunao Katayama (IJCNN, 2015)

Wave-based device scaling concept for brain-like energy efficiency and integration. - Yasunao Katayama; Toshiyuki Yamane; Daiju Nakano; Ryosho Nakane; Gouhei Tanaka (NANOARCH, 2015)

Computational Performance of Echo State Networks with Dynamic Synapses. - Ryota Mori; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Kazuyuki Aihara (ICONIP (1), 2016)

Photonic Reservoir Computing Based on Laser Dynamics with External Feedback. - Seiji Takeda; Daiju Nakano; Toshiyuki Yamane; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Shigeru Nakagawa (ICONIP (1), 2016)

Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture. - Gouhei Tanaka; Ryosho Nakane; Toshiyuki Yamane; Daiju Nakano; Seiji Takeda; Shigeru Nakagawa; Akira Hirose 001 (ICONIP (1), 2016)

Dynamics of Reservoir Computing at the Edge of Stability. - Toshiyuki Yamane; Seiji Takeda; Daiju Nakano; Gouhei Tanaka; Ryosho Nakane; Shigeru Nakagawa; Akira Hirose 001 (ICONIP (1), 2016)

Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing. - Akira Hirose 001; Seiji Takeda; Toshiyuki Yamane; Daiju Nakano; Shigeru Nakagawa; Ryosho Nakane; Gouhei Tanaka (ICONIP (4), 2017)

Waveform Classification by Memristive Reservoir Computing. - Gouhei Tanaka; Ryosho Nakane; Toshiyuki Yamane; Seiji Takeda; Daiju Nakano; Shigeru Nakagawa; Akira Hirose 001 (ICONIP (4), 2017)

Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis. - Toshiyuki Yamane; Seiji Takeda; Daiju Nakano; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Shigeru Nakagawa (ICONIP (1), 2017)

Proposal of Carrier-Wave Reservoir Computing. - Akira Hirose 001; Gouhei Tanaka; Seiji Takeda; Toshiyuki Yamane; Hidetoshi Numata; Naoki Kanazawa; Jean Benoit Héroux; Daiju Nakano; Ryosho Nakane (ICONIP (1), 2018)

Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing. - Toshiyuki Yamane; Hidetoshi Numata; Jean Benoit Héroux; Naoki Kanazawa; Seiji Takeda; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Daiju Nakano (ICONIP (1), 2018)

Reservoir Computing With Spin Waves Excited in a Garnet Film. - Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IEEE Access, 2018)

Si-based Spin Metal-Oxide-Semiconductor Field-Effect Transistors with an Inversion Channel. - Ryosho Nakane; Shoichi Sato; Masaaki Tanaka (ESSDERC, 2019)

Application Identification of Network Traffic by Reservoir Computing. - Toshiyuki Yamane; Jean Benoit Héroux; Hidetoshi Numata; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001 (ICONIP (5), 2019)

In a Spin-Wave Reservoir for Machine Learning. - Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IJCNN, 2019)

Physical reservoir computing: Possibility to resolve the inconsistency between neuro-AI principles and its hardware. - Akira Hirose 001; Seiji Takeda; Toshiyuki Yamane; Hidetoshi Numata; Naoki Kanazawa; Jean Benoit Héroux; Daiju Nakano; Ryosho Nakane; Gouhei Tanaka (Aust. J. Intell. Inf. Process. Syst., 2019)

Echo State Networks Composed of Units with Time-Varying Nonlinearity. - Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001 (Aust. J. Intell. Inf. Process. Syst., 2019)

Recent advances in physical reservoir computing: A review. - Gouhei Tanaka; Toshiyuki Yamane; Jean Benoit Héroux; Ryosho Nakane; Naoki Kanazawa; Seiji Takeda; Hidetoshi Numata; Daiju Nakano; Akira Hirose 001 (Neural Networks, 2019)

Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics. - Takehiro Ichimura; Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IJCNN, 2020)

Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory. - Gouhei Tanaka; Ryosho Nakane; Tomoya Takeuchi; Toshiyuki Yamane; Daiju Nakano; Yasunao Katayama; Akira Hirose 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Processing-Response Dependence on the On-Chip Readout Positions in Spin-Wave Reservoir Computing. - Takehiro Ichimura; Ryosho Nakane; Akira Hirose 001 (ICONIP (3), 2021)

A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device. - Takehiro Ichimura; Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IEEE Access, 2021)

Simulation platform for pattern recognition based on reservoir computing with memristor networks. - Gouhei Tanaka; Ryosho Nakane (CoRR, 2021)

Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip. - Jiaxuan Chen; Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IJCNN, 2022)

Proposal of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals. - Junya Kato; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001 (IJCNN, 2022)

Experimental demonstration of novel scheme of HZO/Si FeFET reservoir computing with parallel data processing for speech recognition. - Eishin Nako; Kasidit Toprasertpong; Ryosho Nakane; Mitsuru Takenaka; Shinichi Takagi (VLSI Technology and Circuits, 2022)

Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditions. - Ryosho Nakane; Akira Hirose 001; Gouhei Tanaka (CoRR, 2022)

A Simple Memristive Circuit for Pattern Classification Based on Reservoir Computing. - Zhiqiang Tong; Ryosho Nakane; Akira Hirose 001; Gouhei Tanaka (Int. J. Bifurc. Chaos, 2022)

Physical reservoir computing toward edge AI hardware. - Ryosho Nakane (ICICDT, 2023)

Reservoir Computing Utilizing Ferroelectric-Gate-Insulator FETs and Capacitors. - Shinichi Takagi; Kasidit Toprasertpong; Eishin Nako; Zeyu Wang; Rikuo Suzuki; Shin-Yi Min; Mitsuru Takenaka; Ryosho Nakane (ICICDT, 2023)

Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing. - Jiaxuan Chen; Haotian Chen; Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IJCNN, 2023)

Robustness to Device Degradation in Silicon FeFET-based Reservoir Computing (Invited). - Kasidit Toprasertpong; Eishin Nako; Shin-Yi Min; Zuocheng Cai; Seong-Kun Cho; Rikuo Suzuki; Ryosho Nakane; Mitsuru Takenaka; Shinichi Takagi (IRPS, 2024)

Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons. - Nanako Kimura; Ckristian Duran; Zolboo Byambadorj; Ryosho Nakane; Tetsuya Iizuka (CoRR, 2024)