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Ryosho Nakane
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Journal Articles
- 2022
- [j7]Zhiqiang Tong
, Ryosho Nakane, Akira Hirose, Gouhei Tanaka:
A Simple Memristive Circuit for Pattern Classification Based on Reservoir Computing. Int. J. Bifurc. Chaos 32(9): 2250141:1-2250141:14 (2022) - 2021
- [j6]Takehiro Ichimura
, Ryosho Nakane
, Gouhei Tanaka
, Akira Hirose
:
A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device. IEEE Access 9: 72637-72646 (2021) - 2020
- [j5]Gouhei Tanaka
, Ryosho Nakane
, Tomoya Takeuchi
, Toshiyuki Yamane
, Daiju Nakano, Yasunao Katayama
, Akira Hirose
:
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory. IEEE Trans. Neural Networks Learn. Syst. 31(1): 24-38 (2020) - 2019
- [j4]Akira Hirose, Seiji Takeda, Toshiyuki Yamane, Hidetoshi Numata, Naoki Kanazawa, Jean Benoit Héroux, Daiju Nakano, Ryosho Nakane, Gouhei Tanaka:
Physical reservoir computing: Possibility to resolve the inconsistency between neuro-AI principles and its hardware. Aust. J. Intell. Inf. Process. Syst. 16(4): 49-55 (2019) - [j3]Gouhei Tanaka, Ryosho Nakane, Akira Hirose:
Echo State Networks Composed of Units with Time-Varying Nonlinearity. Aust. J. Intell. Inf. Process. Syst. 17(2): 34-39 (2019) - [j2]Gouhei Tanaka
, Toshiyuki Yamane, Jean Benoit Héroux, Ryosho Nakane
, Naoki Kanazawa
, Seiji Takeda, Hidetoshi Numata, Daiju Nakano, Akira Hirose
:
Recent advances in physical reservoir computing: A review. Neural Networks 115: 100-123 (2019) - 2018
- [j1]Ryosho Nakane
, Gouhei Tanaka
, Akira Hirose:
Reservoir Computing With Spin Waves Excited in a Garnet Film. IEEE Access 6: 4462-4469 (2018)
Conference and Workshop Papers
- 2024
- [c27]Kasidit Toprasertpong, Eishin Nako, Shin-Yi Min, Zuocheng Cai, Seong-Kun Cho, Rikuo Suzuki, Ryosho Nakane, Mitsuru Takenaka, Shinichi Takagi:
Robustness to Device Degradation in Silicon FeFET-based Reservoir Computing (Invited). IRPS 2024: 1-6 - 2023
- [c26]Shinichi Takagi, Kasidit Toprasertpong, Eishin Nako, Zeyu Wang, Rikuo Suzuki, Shin-Yi Min, Mitsuru Takenaka, Ryosho Nakane:
Reservoir Computing Utilizing Ferroelectric-Gate-Insulator FETs and Capacitors. ICICDT 2023: 25-28 - [c25]Ryosho Nakane:
Physical reservoir computing toward edge AI hardware. ICICDT 2023: xiii - [c24]Jiaxuan Chen, Haotian Chen, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing. IJCNN 2023: 1-8 - 2022
- [c23]Jiaxuan Chen, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip. IJCNN 2022: 1-7 - [c22]Junya Kato, Gouhei Tanaka, Ryosho Nakane, Akira Hirose:
Proposal of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals. IJCNN 2022: 1-6 - [c21]Eishin Nako, Kasidit Toprasertpong
, Ryosho Nakane, Mitsuru Takenaka, Shinichi Takagi:
Experimental demonstration of novel scheme of HZO/Si FeFET reservoir computing with parallel data processing for speech recognition. VLSI Technology and Circuits 2022: 220-221 - 2021
- [c20]Takehiro Ichimura, Ryosho Nakane, Akira Hirose:
Processing-Response Dependence on the On-Chip Readout Positions in Spin-Wave Reservoir Computing. ICONIP (3) 2021: 296-307 - 2020
- [c19]Takehiro Ichimura, Ryosho Nakane
, Gouhei Tanaka, Akira Hirose:
Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics. IJCNN 2020: 1-8 - 2019
- [c18]Ryosho Nakane
, Shoichi Sato
, Masaaki Tanaka:
Si-based Spin Metal-Oxide-Semiconductor Field-Effect Transistors with an Inversion Channel. ESSDERC 2019: 142-145 - [c17]Toshiyuki Yamane, Jean Benoit Héroux, Hidetoshi Numata, Gouhei Tanaka, Ryosho Nakane
, Akira Hirose:
Application Identification of Network Traffic by Reservoir Computing. ICONIP (5) 2019: 389-396 - [c16]Ryosho Nakane
, Gouhei Tanaka, Akira Hirose:
In a Spin-Wave Reservoir for Machine Learning. IJCNN 2019: 1-9 - 2018
- [c15]Akira Hirose, Gouhei Tanaka
, Seiji Takeda, Toshiyuki Yamane, Hidetoshi Numata, Naoki Kanazawa, Jean Benoit Héroux, Daiju Nakano, Ryosho Nakane
:
Proposal of Carrier-Wave Reservoir Computing. ICONIP (1) 2018: 616-624 - [c14]Toshiyuki Yamane, Hidetoshi Numata, Jean Benoit Héroux, Naoki Kanazawa, Seiji Takeda, Gouhei Tanaka
, Ryosho Nakane
, Akira Hirose, Daiju Nakano:
Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing. ICONIP (1) 2018: 635-643 - 2017
- [c13]Akira Hirose, Seiji Takeda, Toshiyuki Yamane, Daiju Nakano, Shigeru Nakagawa, Ryosho Nakane
, Gouhei Tanaka
:
Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing. ICONIP (4) 2017: 449-456 - [c12]Gouhei Tanaka
, Ryosho Nakane
, Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, Shigeru Nakagawa, Akira Hirose:
Waveform Classification by Memristive Reservoir Computing. ICONIP (4) 2017: 457-465 - [c11]Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, Gouhei Tanaka
, Ryosho Nakane
, Akira Hirose, Shigeru Nakagawa:
Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis. ICONIP (1) 2017: 639-647 - 2016
- [c10]Gouhei Tanaka
, Ryosho Nakane
, Toshiyuki Yamane, Daiju Nakano, Seiji Takeda, Shigeru Nakagawa, Akira Hirose:
Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture. ICONIP (1) 2016: 187-194 - [c9]Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, Gouhei Tanaka
, Ryosho Nakane
, Shigeru Nakagawa, Akira Hirose:
Dynamics of Reservoir Computing at the Edge of Stability. ICONIP (1) 2016: 205-212 - [c8]Seiji Takeda, Daiju Nakano, Toshiyuki Yamane, Gouhei Tanaka
, Ryosho Nakane
, Akira Hirose, Shigeru Nakagawa:
Photonic Reservoir Computing Based on Laser Dynamics with External Feedback. ICONIP (1) 2016: 222-230 - [c7]Ryota Mori, Gouhei Tanaka
, Ryosho Nakane
, Akira Hirose, Kazuyuki Aihara:
Computational Performance of Echo State Networks with Dynamic Synapses. ICONIP (1) 2016: 264-271 - 2015
- [c6]Toshiyuki Yamane, Yasunao Katayama, Ryosho Nakane
, Gouhei Tanaka
, Daiju Nakano:
Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators. ICONIP (3) 2015: 198-205 - [c5]Gouhei Tanaka
, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane
, Yasunao Katayama:
Regularity and randomness in modular network structures for neural associative memories. IJCNN 2015: 1-7 - [c4]Yasunao Katayama, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane
, Gouhei Tanaka
:
Wave-based device scaling concept for brain-like energy efficiency and integration. NANOARCH 2015: 23-24 - 2014
- [c3]Gouhei Tanaka, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane
, Yasunao Katayama:
Hopfield-Type Associative Memory with Sparse Modular Networks. ICONIP (1) 2014: 255-262 - 2013
- [c2]SangHyeon Kim, Masafumi Yokoyama, Yuki Ikku, Ryosho Nakane
, Osamu Ichikawa, Takenori Osada, Masahiko Hata, Mitsuru Takenaka, Shinichi Takagi:
Physical understanding of electron mobility in uniaxially strained InGaAs-OI MOSFETs. ESSDERC 2013: 139-142 - [c1]Ryosho Nakane
, Yusuke Shuto, Hiroaki Sukegawa
, Zhenchao Wen
, Shuu'ichirou Yamamoto, Seiji Mitani, Masaaki Tanaka, Koichiro Inomata, Satoshi Sugahara:
Monolithic integration of pseudo-spin-MOSFETs using a custom CMOS chip fabricated through multi-project wafer service. ESSDERC 2013: 272-275
Informal and Other Publications
- 2022
- [i4]Ryosho Nakane, Akira Hirose, Gouhei Tanaka:
Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditions. CoRR abs/2209.10123 (2022) - 2021
- [i3]Takehiro Ichimura, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
A numerical exploration of signal detector arrangement in a spin-wave reservoir computing device. CoRR abs/2104.14915 (2021) - [i2]Gouhei Tanaka, Ryosho Nakane:
Simulation platform for pattern recognition based on reservoir computing with memristor networks. CoRR abs/2112.00248 (2021) - 2018
- [i1]Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux, Ryosho Nakane, Naoki Kanazawa, Seiji Takeda, Hidetoshi Numata, Daiju Nakano, Akira Hirose:
Recent Advances in Physical Reservoir Computing: A Review. CoRR abs/1808.04962 (2018)
Coauthor Index
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