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Tomoki Sugiura
Tomoki Sugiura
NIDEK Co., Ltd. (Former Osaka University)
Verified email at nidek.co.jp
Title
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Cited by
Year
A low-energy application specific instruction-set processor towards a low-computational lossless compression method for stimuli position data of artificial vision systems
T Sugiura, M Imai, J Yu, Y Takeuchi
Journal of Information Processing 25, 210-219, 2017
72017
A programmable controller for spatio-temporal pattern stimulation of cortical visual prosthesis
T Sugiura, AU Khan, J Yu, Y Takeuchi, S Kameda, T Kamata, ...
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 432-435, 2016
72016
A low-energy asip with flexible exponential golomb codec for lossless data compression toward artificial vision systems
T Sugiura, J Yu, Y Takeuchi, M Imai
2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2015
62015
An efficient data compression method for artificial vision systems and its low energy implementation using ASIP technology
T Sugiura, S Nakatsuka, J Yu, Y Takeuchi, M Imai
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings, 81-84, 2014
62014
Hardware-oriented algorithm for phase synchronization analysis of biomedical signals
T Sugiura, J Yu, Y Takeuchi
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2017
22017
Alpha-gamma data compression method for artificial vision systems using visual cortex stimulation
T Sugiura, AU Khan, Y Takeuchi, M Imai
Proceedings of 18th Workshop on Synthesis and System Integration of Mixed …, 2013
12013
Live Demonstration: A Visual Prosthesis Simulator for Prototyping of Artificial Vision Systems
T Sugiura, T Sasaki
2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-2, 2023
2023
Phase Locking Value Calculator Based on Hardware-Oriented Mathematical Expression
T Sugiura, J Yu, Y Takeuchi
IEICE Transactions on Fundamentals of Electronics, Communications and …, 2018
2018
Low Energy VLSI Architecture for Interfacing Brain: Measurement and Stimulation
杉浦友紀, スギウラトモキ
2018
脳皮質刺激型人工視覚システムにおける刺激位置情報に対する時空間特性を利用した圧縮手法の提案 (ディペンダブルコンピューティング)--(組込み技術とネットワークに関するワークショップ ETNET2018)
杉浦友紀, 劉載勲, 武内良典
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 117 (480), 59-64, 2018
2018
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