Kohei Nakajima

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Rolf PfeiferDirector, Artificial Intelligence Laboratory, University of ZurichVerified email at ifi.uzh.ch
Tao LiUniversity of ZurichVerified email at ifi.uzh.ch
Helmut HauserDepartment of Engineering Mathematics, University of BristolVerified email at bristol.ac.uk
Keisuke FujiiEngineering Science, Osaka Univ. /QIQB, Osaka Univ./ RIKEN RQCVerified email at qc.ee.es.osaka-u.ac.jp
Hitoshi KubotaNational Institute of Industrial Science and Technology (AIST)Verified email at aist.go.jp
Hidenobu SumiokaAdvanced Telecommunications Research Institute InternationalVerified email at atr.jp
Shinji MiwaThe Institute for Solid State Physics (ISSP), The University of TokyoVerified email at issp.u-tokyo.ac.jp
Rongjie KangAssociate Professor of Robotics, Tianjin UniversityVerified email at tju.edu.cn
Masahiro KitagawaOsaka UniversityVerified email at osaka-u.ac.jp
Makoto NegoroOsaka UniversityVerified email at qiqb.osaka-u.ac.jp
Kosuke MitaraiOsaka UniversityVerified email at osaka-u.ac.jp
Rudolf M. FüchslinProfessor for Applied Complex Systems Sciences, Zurich University of Applied SciencesVerified email at zhaw.ch
Matteo CianchettiThe BioRobotics Institute - Scuola Superiore Sant'AnnaVerified email at santannapisa.it
Suguru KawatoProfessor of Biophysics and Life Science, University of TokyoVerified email at bio.c.u-tokyo.ac.jp
Matej HoffmannDepartment of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in PragueVerified email at post.cz
Marcello CalistiAssociate Professor in RoboticsVerified email at lincoln.ac.uk
David T Branson IIIUniversity of Nottingham, UKVerified email at nottingham.ac.uk
Binyamin HochnerHebrew UniversityVerified email at mail.huji.ac.il
Donald PoirierUniversité Laval and CHU de QuébecVerified email at crchul.ulaval.ca
takashi ikegamiThe graduate school of Arts and Sciences, University of TokyoVerified email at sacral.c.u-tokyo.ac.jp

Kohei Nakajima

University of Tokyo

Verified email at isi.imi.i.u-tokyo.ac.jp - Homepage

nonlinear dynamics information theory reservoir computing soft robotics embodiment


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Physical reservoir computing–An introductory perspective K Nakajima Japanese Journal of Applied Physics, 2020	318	2020
Information processing via physical soft body K Nakajima, H Hauser, T Li, R Pfeifer Scientific reports 5, 10487, 2015	288	2015
Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning K Fujii, K Nakajima Physical Review Applied 8 (2), 024030, 2017	261	2017
Reservoir computing: Theory, physical implementations, and applications K Nakajima, I Fischer Springer Nature, 2021	256*	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	183	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	135	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	133	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	126	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	115	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	85*	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	73	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	58*	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
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	52	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	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	51	2015
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	50	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	44	2021

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