| 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 | 122 | 2018 |
| 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 | 71 | 2021 |
| 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 | 34 | 2004 |
| 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 | 32 | 2022 |
| 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 | 29 | 2004 |
| 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 | 20 | 2017 |
| 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 | 18 | 2020 |
| A shared synapse architecture for efficient FPGA implementation of autoencoders A Suzuki, T Morie, H Tamukoh PloS one 13 (3), e0194049, 2018 | 18 | 2018 |
| A dynamically reconfigurable platform for self-organizing neural network hardware H Tamukoh, M Sekine Neural Information Processing. Models and Applications: 17th International …, 2010 | 18 | 2010 |
| 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 | 16 | 2021 |
| 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 | 16 | 2020 |
| 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 | 16 | 2018 |
| 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 | 15 | 2020 |
| 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 | 14 | 2022 |
| 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 | 14 | 2020 |
| 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 | 14 | 2019 |
| Ag2Se nanowire network as an effective in-materio reservoir computing device T Kotooka, S Lilak, A Stieg, J Gimzewski, N Sugiyama, Y Tanaka, ... | 13 | 2021 |
| Multiply-accumulate operation device T Morie, Q Wang, H Tamukoh US Patent 10,831,447, 2020 | 13 | 2020 |
| A hardware intelligent processing accelerator for domestic service robots Y Ishida, T Morie, H Tamukoh Advanced Robotics 34 (14), 947-957, 2020 | 13 | 2020 |
| 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 | 13 | 2019 |
