Physical reservoir computing–An introductory perspective K Nakajima Japanese Journal of Applied Physics, 2020 | 313 | 2020 |
Information processing via physical soft body K Nakajima, H Hauser, T Li, R Pfeifer Scientific reports 5, 10487, 2015 | 285 | 2015 |
Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning K Fujii, K Nakajima Physical Review Applied 8 (2), 024030, 2017 | 259 | 2017 |
Reservoir computing: Theory, physical implementations, and applications K Nakajima, I Fischer Springer Nature, 2021 | 252* | 2021 |
A soft body as a reservoir: case studies in a dynamic model of octopus-inspired soft robotic arm K Nakajima, H Hauser, R Kang, E Guglielmino, DG Caldwell, R Pfeifer Frontiers in computational neuroscience 7, 91, 2013 | 182 | 2013 |
Macromagnetic Simulation for Reservoir Computing Utilizing Spin Dynamics in Magnetic Tunnel Junctions T Furuta, K Fujii, K Nakajima, S Tsunegi, H Kubota, Y Suzuki, S Miwa Physical Review Applied 10 (3), 034063, 2018 | 138 | 2018 |
Physical reservoir computing based on spin torque oscillator with forced synchronization S Tsunegi, T Taniguchi, K Nakajima, S Miwa, K Yakushiji, A Fukushima, ... Applied Physics Letters 114 (16), 164101, 2019 | 133 | 2019 |
Boosting computational power through spatial multiplexing in quantum reservoir computing K Nakajima, K Fujii, M Negoro, K Mitarai, M Kitagawa Physical Review Applied 11 (3), 034021, 2019 | 131 | 2019 |
Exploiting short-term memory in soft body dynamics as a computational resource K Nakajima, T Li, H Hauser, R Pfeifer Journal of The Royal Society Interface 11 (100), 20140437, 2014 | 125 | 2014 |
Exploiting the Dynamics of Soft Materials for Machine Learning K Nakajima, H Hauser, T Li, R Pfeifer Soft robotics 5 (3), 339-347, 2018 | 114 | 2018 |
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces T Goto, QH Tran, K Nakajima Physical Review Letters 127 (9), 090506, 2021 | 82* | 2021 |
Spine dynamics as a computational resource in spine-driven quadruped locomotion Q Zhao, K Nakajima, H Sumioka, H Hauser, R Pfeifer Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International …, 2013 | 70 | 2013 |
Physical Implementation of Reservoir Computing through Electrochemical Reaction S Kan, K Nakajima, T Asai, M Akai‐Kasaya Advanced Science, 2104076, 2021 | 61 | 2021 |
Unifying framework for information processing in stochastically driven dynamical systems T Kubota, H Takahashi, K Nakajima Physical Review Research 3 (4), 043135, 2021 | 57* | 2021 |
Computing with a muscular-hydrostat system K Nakajima, H Hauser, R Kang, E Guglielmino, DG Caldwell, R Pfeifer Robotics and Automation (ICRA), 2013 IEEE International Conference on, 1504-1511, 2013 | 57 | 2013 |
Evaluation of memory capacity of spin torque oscillator for recurrent neural networks S Tsunegi, T Taniguchi, S Miwa, K Nakajima, K Yakushiji, A Fukushima, ... Japanese Journal of Applied Physics 57 (12), 120307, 2018 | 51 | 2018 |
Estrogen receptor KO mice study on rapid modulation of spines and long-term depression in the hippocampus G Murakami, Y Hojo, M Ogiue-Ikeda, H Mukai, P Chambon, K Nakajima, ... Brain research 1621, 133-146, 2015 | 50 | 2015 |
Embodiment enables the spinal engine in quadruped robot locomotion Q Zhao, K Nakajima, H Sumioka, X Yu, R Pfeifer Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012 | 50 | 2012 |
Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware M Nakajima, K Inoue, K Tanaka, Y Kuniyoshi, T Hashimoto, K Nakajima Nature Communications 13 (1), 1-12, 2022 | 48* | 2022 |
Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices K Fujii, K Nakajima Reservoir Computing, 423-450, 2021 | 43 | 2021 |