Kohei Nakajima
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Physical reservoir computing–An introductory perspective
K Nakajima
Japanese Journal of Applied Physics, 2020
Information processing via physical soft body
K Nakajima, H Hauser, T Li, R Pfeifer
Scientific reports 5, 10487, 2015
Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning
K Fujii, K Nakajima
Physical Review Applied 8 (2), 024030, 2017
Reservoir computing: Theory, physical implementations, and applications
K Nakajima, I Fischer
Springer Nature, 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
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
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
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
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
Exploiting the Dynamics of Soft Materials for Machine Learning
K Nakajima, H Hauser, T Li, R Pfeifer
Soft robotics 5 (3), 339-347, 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
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
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
Unifying framework for information processing in stochastically driven dynamical systems
T Kubota, H Takahashi, K Nakajima
Physical Review Research 3 (4), 043135, 2021
Physical Implementation of Reservoir Computing through Electrochemical Reaction
S Kan, K Nakajima, T Asai, M Akai‐Kasaya
Advanced Science, 2104076, 2021
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
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
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
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
Morphological computation–the body as a computational resource
H Hauser, K Nakajima, RM Füchslin
E-book on opinions and outlooks on morphological computation, 226-244, 2014
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