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HAKARU TAMUKOH
HAKARU TAMUKOH
Подтвержден адрес электронной почты в домене brain.kyutech.ac.jp - Главная страница
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Процитировано
Процитировано
Год
A molecular neuromorphic network device consisting of single-walled carbon nanotubes complexed with polyoxometalate
H Tanaka, M Akai-Kasaya, A TermehYousefi, L Hong, L Fu, H Tamukoh, ...
Nature Communications 9 (1), 2693, 2018
1232018
In‐materio reservoir computing in a sulfonated polyaniline network
Y Usami, B van de Ven, DG Mathew, T Chen, T Kotooka, Y Kawashima, ...
Advanced Materials 33 (48), 2102688, 2021
732021
Self-organizing map hardware accelerator system and its application to realtime image enlargement
H Tamukoh, T Aso, K Horio, T Yamakawa
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
342004
Emergence of in‐materio intelligence from an incidental structure of a single‐walled carbon nanotube–porphyrin polyoxometalate random network
D Banerjee, T Kotooka, S Azhari, Y Usami, T Ogawa, JK Gimzewski, ...
Advanced Intelligent Systems 4 (4), 2100145, 2022
332022
Fast learning algorithms for self-organizing map employing rough comparison WTA and its digital hardware implementation
H Tamukoh, K Horio, T Yamakawa
IEICE transactions on electronics 87 (11), 1787-1794, 2004
292004
Hibikino-musashi@ home 2017 team description paper
S Hori, Y Ishida, Y Kiyama, Y Tanaka, Y Kuroda, M Hisano, Y Imamura, ...
arXiv preprint arXiv:1711.05457, 2017
232017
FPGA implementation of a binarized dual stream convolutional neural network for service robots
Y Yoshimoto, H Tamukoh
Journal of Robotics and Mechatronics 33 (2), 386-399, 2021
202021
Semi-automatic dataset generation for object detection and recognition and its evaluation on domestic service robots
Y Ishida, H Tamukoh
Journal of Robotics and Mechatronics 32 (1), 245-253, 2020
182020
A time-domain analog weighted-sum calculation model for extremely low power VLSI implementation of multi-layer neural networks
Q Wang, H Tamukoh, T Morie
arXiv preprint arXiv:1810.06819, 2018
182018
A shared synapse architecture for efficient FPGA implementation of autoencoders
A Suzuki, T Morie, H Tamukoh
PloS one 13 (3), e0194049, 2018
182018
A dynamically reconfigurable platform for self-organizing neural network hardware
H Tamukoh, M Sekine
Neural Information Processing. Models and Applications: 17th International …, 2010
182010
An Amygdala-inspired classical conditioning model implemented on an FPGA for home service robots
Y Tanaka, T Morie, H Tamukoh
IEEE Access 8, 212066-212078, 2020
162020
An energy-efficient time-domain analog CMOS BinaryConnect neural network processor based on a pulse-width modulation approach
M Yamaguchi, G Iwamoto, Y Nishimura, H Tamukoh, T Morie
IEEE Access 9, 2644-2654, 2020
152020
Solution of world robot challenge 2020 partner robot challenge (real space)
T Ono, D Kanaoka, T Shiba, S Tokuno, Y Yano, A Mizutani, I Matsumoto, ...
Advanced Robotics 36 (17-18), 870-889, 2022
142022
A hardware intelligent processing accelerator for domestic service robots
Y Ishida, T Morie, H Tamukoh
Advanced Robotics 34 (14), 947-957, 2020
142020
A hardware-oriented echo state network and its FPGA implementation
K Honda, H Tamukoh
Journal of Robotics, Networking and Artificial Life 7 (1), 58-62, 2020
142020
Reservoir computing based on dynamics of pseudo-billiard system in hypercube
Y Katori, H Tamukoh, T Morie
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
142019
Ag2Se nanowire network as an effective in-materio reservoir computing device
T Kotooka, S Lilak, A Stieg, J Gimzewski, N Sugiyama, Y Tanaka, ...
132021
Multiply-accumulate operation device
T Morie, Q Wang, H Tamukoh
US Patent 10,831,447, 2020
132020
An energy-efficient time-domain analog VLSI neural network processor based on a pulse-width modulation approach
M Yamaguchi, G Iwamoto, H Tamukoh, T Morie
arXiv preprint arXiv:1902.07707, 2019
132019
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