Ryosho Nakane

发表

Wave-based device scaling concept for brain-like energy efficiency and integration

Toshiyuki Yamane, Daiju Nakano, Gouhei Tanaka, 2015, Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH´15).

Computational Performance of Echo State Networks with Dynamic Synapses

Gouhei Tanaka, Ryosho Nakane, Akira Hirose, 2016, ICONIP.

Physical reservoir computing: Possibility to resolve the inconsistency between neuro-AI principles and its hardware

Toshiyuki Yamane, Daiju Nakano, Gouhei Tanaka, 2019, Aust. J. Intell. Inf. Process. Syst..

Proposal of Carrier-Wave Reservoir Computing

Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, 2018, ICONIP.

Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory

Toshiyuki Yamane, Daiju Nakano, Gouhei Tanaka, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Photonic Reservoir Computing Based on Laser Dynamics with External Feedback

Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, 2016, ICONIP.

Hopfield-Type Associative Memory with Sparse Modular Networks

Toshiyuki Yamane, Daiju Nakano, Gouhei Tanaka, 2014, ICONIP.

Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics

Gouhei Tanaka, Ryosho Nakane, Akira Hirose, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing

Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, 2018, ICONIP.

Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing

Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, 2017, ICONIP.

Regularity and randomness in modular network structures for neural associative memories

Toshiyuki Yamane, Daiju Nakano, Gouhei Tanaka, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Recent Advances in Physical Reservoir Computing: A Review

Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, 2018, Neural Networks.

Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators

Toshiyuki Yamane, Daiju Nakano, Gouhei Tanaka, 2015, ICONIP.

Time delay reservoir computing with VCSEL

Toshiyuki Yamane, Daiju Nakano, Gouhei Tanaka, 2020, OPTO.

Physical understanding of electron mobility in uniaxially strained InGaAs-OI MOSFETs

Ryosho Nakane, Mitsuru Takenaka, Yuki Ikku, 2013, 2013 Proceedings of the European Solid-State Device Research Conference (ESSDERC).

On-chip reservoir computing device utilizing spin waves

Gouhei Tanaka, Ryosho Nakane, Akira Hirose, 2019 .

Echo State Networks Composed of Units with Time-Varying Nonlinearity

Gouhei Tanaka, Ryosho Nakane, Akira Hirose, 2019, Aust. J. Intell. Inf. Process. Syst..

Dynamics of Reservoir Computing at the Edge of Stability

Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, 2016, ICONIP.

Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture

Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, 2016, ICONIP.

Application Identification of Network Traffic by Reservoir Computing

Toshiyuki Yamane, Gouhei Tanaka, Ryosho Nakane, 2019, ICONIP.

Waveform Classification by Memristive Reservoir Computing

Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, 2017, ICONIP.