Ryosho Nakane

Orcid: 0000-0002-9059-9349

According to our database1, Ryosho Nakane authored at least 37 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons.
CoRR, 2024

Robustness to Device Degradation in Silicon FeFET-based Reservoir Computing (Invited).
Proceedings of the IEEE International Reliability Physics Symposium, 2024

2023
Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing.
Proceedings of the International Joint Conference on Neural Networks, 2023

Reservoir Computing Utilizing Ferroelectric-Gate-Insulator FETs and Capacitors.
Proceedings of the International Conference on IC Design and Technology, 2023

Physical reservoir computing toward edge AI hardware.
Proceedings of the International Conference on IC Design and Technology, 2023

2022
A Simple Memristive Circuit for Pattern Classification Based on Reservoir Computing.
Int. J. Bifurc. Chaos, 2022

Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditions.
CoRR, 2022

Experimental demonstration of novel scheme of HZO/Si FeFET reservoir computing with parallel data processing for speech recognition.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

Proposal of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals.
Proceedings of the International Joint Conference on Neural Networks, 2022

Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Simulation platform for pattern recognition based on reservoir computing with memristor networks.
CoRR, 2021

A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device.
IEEE Access, 2021

Processing-Response Dependence on the On-Chip Readout Positions in Spin-Wave Reservoir Computing.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory.
IEEE Trans. Neural Networks Learn. Syst., 2020

Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Recent advances in physical reservoir computing: A review.
Neural Networks, 2019

Echo State Networks Composed of Units with Time-Varying Nonlinearity.
Aust. J. Intell. Inf. Process. Syst., 2019

Physical reservoir computing: Possibility to resolve the inconsistency between neuro-AI principles and its hardware.
Aust. J. Intell. Inf. Process. Syst., 2019

In a Spin-Wave Reservoir for Machine Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Application Identification of Network Traffic by Reservoir Computing.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Si-based Spin Metal-Oxide-Semiconductor Field-Effect Transistors with an Inversion Channel.
Proceedings of the 49th European Solid-State Device Research Conference, 2019

2018
Reservoir Computing With Spin Waves Excited in a Garnet Film.
IEEE Access, 2018

Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Proposal of Carrier-Wave Reservoir Computing.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Waveform Classification by Memristive Reservoir Computing.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Dynamics of Reservoir Computing at the Edge of Stability.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Photonic Reservoir Computing Based on Laser Dynamics with External Feedback.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Computational Performance of Echo State Networks with Dynamic Synapses.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Wave-based device scaling concept for brain-like energy efficiency and integration.
Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures, 2015

Regularity and randomness in modular network structures for neural associative memories.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Hopfield-Type Associative Memory with Sparse Modular Networks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Monolithic integration of pseudo-spin-MOSFETs using a custom CMOS chip fabricated through multi-project wafer service.
Proceedings of the European Solid-State Device Research Conference, 2013

Physical understanding of electron mobility in uniaxially strained InGaAs-OI MOSFETs.
Proceedings of the European Solid-State Device Research Conference, 2013


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