Hayashida Yuki

ハヤシダユウキ | Hayashida Yuki

Affiliation and department：
Job title： Professor

Research field (6)： Neuroscience - general , Electronic devices and equipment , Intelligent informatics , Perceptual information processing , Biomaterials , Biomedical engineering

Research theme for competitive and other funds (8)：

2023 - 2027 ロボティクス構成論的手法による生体眼-網膜系の視覚符号化機序の理解と検証
2022 - 2025 Drinving of Cortical Neurons with Neuromorphic Spike Sequences of Sensory Organs
2020 - 2024 網膜と視覚野の情報処理と通信に学んだ脳刺激型人工視覚の開発
2018 - 2021 Quantitative experimental analysis for the development of intracortical current field stimulation using a high-count multi-channel stimulator
2016 - 2019 Simulation and assessment of phosphene image induced with the visual cortical prosthesis predicted from the neuronal activities in the visual cortex.

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Papers (65)：

Tomoya Nokura, Ryosuke Okada, Shinjiro Yamamasu, Shinsuke Yasukawa, Yuki Hayashida. Neuromorphic Spikes Generated by the Retinal Circuit Emulator for Training 3-Dimensional Convolutional Neural Networks to Reconstruct Natural Images. 2023 IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI). 2023. 71-76
Santa Fukuda, Tomohiro Nomoto, Tetsuya Yagi, Yuki Hayashida. Effects of the inter-phase delay of microstimulation pulses on the spatio-temporal neural excitation in the mouse visual cortex in vitro. IEEE NER 2023 Conference Proceedings. 2023. 1-article#81422
Hiroyuki Yokota, Yuki Hayashida, Shinsuke Yasukawa. A simulation model for analyzing the spatiotemporal receptive field of retinal ganglion cells in the presence of fixational eye movements. Proceedings of 2023 International Conference on Artificial Life and Robotics. 2023. 552-555
Shinjiro Yamamasu, Yuki Hayashida. Epileptic Electrocorticogram Signal Detections with Patient-Specific Quantized Convolution Neural Network Models on the Edge TPU device. 2022 E-Health and Bioengineering Conference (EHB). 2022. 1-4
Santa Fukuda, Kou Yoshida, Tomohiro Nomoto, Tetsuya Yagi, Yuki Hayashida. Use-Dependent Inactivation of the Mouse Visual Cortex in Response to Microstimulation Train. 2022 E-Health and Bioengineering Conference (EHB). 2022. 1-4

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MISC (167)：

Yuto Hirano, Shinjiro Yamamasu, Yuki Hayashida. Hardware feasibility of the edge neural-network inference for real-time epileptic ECoG signal detection and neural stimulation. CONFERENCE ABSTRACTー2023 13th International Conference on Biomedical Engineering and Technology (ICBET 2023). 2023. 38
Moemi Yamaji, Shinjiro Yamamasu, Yuki Hayashida. Systematic Selection of Recording Electrode Placements for Responsive Neurostimulation by Using 3-Dimensional Convolutional Neural Network. CONFERENCE ABSTRACT ー2023 13th International Conference on Biomedical Engineering and Technology (ICBET 2023). 2023. 38
Mingyang Li, Yuki Hayashida. A RISC-V Soft-core Processor with Custom VLIW Extension for Spiking Neural Network Accelerator. 2022. 122. 292. 86-91
Santa Fukuda, Tomohiro Nomoto, Kou Yoshida, Yuki Hayashida, Tetsuya Yagi. Analyses on the mechanisms of accumulating excitatory responses to repetitive microstimulation pulses in cerebral cortex. 2021. 121. 222. 20-25
Nodoka Tachibana, Atsuki Imoto, Keisuke Morisada, Naohiro Ishikawa, Celine Vergne, Tamas David Fehervari, Yuki Hayashida, Tetsuya Yagi. Analyses of visual cortex responses induced by repetitive electrical stimulations using in-vivo mice. IEICE Tech. Rep. 2020. 120. 301. 12-17

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Lectures and oral presentations (5)：

Computer Simulation of the Effect of the Inter-Phase Delay of Biphasic Current Stimulus Pulse on the Induction of Neural Action Potential Responses
(The Society of Instrument and Control Engineers Annual Conference 2023 2023)
A Machine Learning-Based Method for Patient-Specific Selection of Electrocorticogram Electrode Placement in Responsive Neurostimulation
(The Society of Instrument and Control Engineers Annual Conference 2023 2023)
Real Time Processing for the Responsive Neural Stimulation for Patient-Specific Epilepsy in an Edge Neural-Network Inference Device
(The Society of Instrument and Control Engineers Annual Conference 2023 2023)
A Three-Dimensional Convolutional Neural Network to Reconstruct Natural Images from Spatiotemporal Neuromorphic Spikes Generated by a Hardware Model of the Biological Retina
(The Society of Instrument and Control Engineers Annual Conference 2023 2023)
Field-Programmable Gate Array-based Parallel Signal Processing in the Multi-Channel Recording-and-Stimulation Single-Board System for Closed-loop Control of Biological Tissue Culture
(The Society of Instrument and Control Engineers Annual Conference 2023 2023)

Education (3)：

1993 - 1999 Kyushu Institute of Technology Graduate School of Computer Science and Systems Engineering (Master's and Doctoral Programs, Research Student) Computer Science
1991 - 1993 Kyushu Institute of Technology School of Computer Science and Systems Engineering Department of Control Systems Engineering
1986 - 1991 National Institute of Technology, Sasebo College Department of Electrical Engineering

Work history (8)：

2020/04 - 現在 Mie University Graduate School of Engineering; Division of Information Engineering Professor
2020/04 - 2022/03 Osaka University Graduate School of Engineering; Division of Electrical, Electronic and Infocommunications Engineering Invited Professor
2011/04 - 2020/03 Osaka University Graduate School of Engineering; Division of Electrical, Electronic and Information Engineering Associate Professor
2008/04 - 2011/03 Osaka University Center for Advanced Medical Engineering and Informatics Invited Associate Professor
2007/10 - 2011/03 Kumamoto University Bio-electrics Research Center Associate Professor

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Awards (8)：

2023/06 - 2023 13th International Conference on Biomedical Engineering and Technology (ICBET 2023) Best Poster Presentation Systematic Selection of Recording Electrode Placements for Responsive Neurostimulation by Using 3-Dimensional Convolutional Neural Network
2019/09 - 日本神経回路学会 2019年度優秀研究賞マウス網膜神経節細胞の高頻度スパイク集団による視覚情報抽出
2014/07 - 国立大学法人大阪大学総長奨励賞(研究部門)
2013/11 - 日本臨床神経生理学会第15回優秀論文賞幼・小児期における上肢運動機能の発達 ~視標追跡描円運動課題の3次元モデル~
2013/06 - 日本神経回路学会平成25年度優秀研究賞固視微動下で動物体を検出する網膜神経回路の実時間エミュレーション

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