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Takehiro Ichimura

Publications
2
Citations
15
Publications by Year
20202021
Co-Authors:
Image of author Takehiro Ichimura

Takehiro Ichimura

Affiliation

Department of Electrical Engineering and Information Systems
The University of Tokyo
Tokyo, Japan

Publication Topics

learning (artificial intelligence),spatiotemporal phenomena,spin waves,electrodes,garnets,magnetic thin film devices,magnetic thin films,neural chips,neural net architecture,neural nets,physics computing,signal detection,wave propagation
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Biography

Takehiro Ichimura (Student Member, IEEE) received the B.S. degree in electrical and electronic engineering from The University of Tokyo, Tokyo, Japan, in 2019, where he is currently pursuing the master’s degree with the Department of Electrical Engineering and Information Systems.,His research interests include reservoir computing and neural networks.(Based on document published on 12 May 2021).
Publications
2
Citations
15
Publications by Year
20202021
Co-Authors:
This Author's Publications

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A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device

Takehiro Ichimura;Ryosho Nakane;Gouhei Tanaka;Akira Hirose

IEEE Access
Year: 2021 | Volume: 9 | Journal Article | Publisher: IEEE
Cited by: Papers (12)
This paper studies numerically how the signal detector arrangement influences the performance of reservoir computing using spin waves excited in a ferrimagnetic garnet film. This investigation is essentially important since the input information is not only conveyed but also transformed by the spin waves into high-dimensional information space when the waves propagate in the film in a spatially di...Show More

A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device

Takehiro Ichimura;Ryosho Nakane;Gouhei Tanaka;Akira Hirose

Year: 2021 | Volume: 9 | Journal Article | Publisher: IEEE

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

2020 International Joint Conference on Neural Networks (IJCNN)
Year: 2020 | Conference Paper | Publisher: IEEE
Cited by: Papers (3)
This paper investigates the spatial distribution of information effective for function learning in a spin-wave reservoir-computing garnet chip. We map the neural weights of a readout neuron virtually connected massively and densely to the reservoir chip. We find that the spatial weight distribution shows wavefront-like lines, suggesting the importance of concurrent and time-different interferences...Show More

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

Year: 2020 | Conference Paper | Publisher: IEEE

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