Mitsuo Kawato

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Hiroshi ImamizuThe University of Tokyo and ATR Cognitive Mechanisms Labs.Verified email at l.u-tokyo.ac.jp
Hiroaki GomiNTT Communication Science Labs.Verified email at hco.ntt.co.jp
Etienne BurdetImperial College LondonVerified email at imperial.ac.uk
David FranklinAssociate Professor, Technical University of MunichVerified email at tum.de
Kenji DoyaOkinawa Institute of Science and TechnologyVerified email at oist.jp
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Masahiko HarunoNICT CINET & Osaka UniversityVerified email at nict.go.jp
Jun MorimotoKyoto University & ATR Computational Neuroscience LabsVerified email at atr.jp
Kazuhisa ShibataCenter for Brain Science, RIKENVerified email at riken.jp
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Yasuharu KoikeTokyo Institute of TechnologyVerified email at pi.titech.ac.jp
Erhan OztopComputer Science, Ozyegin University/OTRI, SISReC, Osaka UniversityVerified email at ozyegin.edu.tr
Gordon ChengTUM, ATRVerified email at tum.de
Hakwan LauRIKEN Center for Brain Science, JapanVerified email at riken.jp
Okito YamashitaNeural Inforamtion Analysis Laboratories, ATRVerified email at atr.jp
Aurelio CorteseComputational Neuroscience Labs, ATR, Kyoto, JapanVerified email at atr.jp
Nicolas SchweighoferUniversity of Southern CaliforniaVerified email at usc.edu
Kazuyuki SamejimaProfessor, Brain science institute, Tamagawa UniversityVerified email at lab.tamagawa.ac.jp
Daniel CallanChief Researcher, Brain Information Communication Research Laboratories, ATRVerified email at atr.jp
Frank PollickProfessor of Psychology, University of GlasgowVerified email at glasgow.ac.uk

Mitsuo Kawato

ATR

Verified email at atr.jp - Homepage

neuroscience


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Internal models for motor control and trajectory planning M Kawato Current opinion in neurobiology 9 (6), 718-727, 1999	2971	1999
Multiple paired forward and inverse models for motor control DM Wolpert, M Kawato Neural networks 11 (7-8), 1317-1329, 1998	2534	1998
Internal models in the cerebellum DM Wolpert, RC Miall, M Kawato Trends in cognitive sciences 2 (9), 338-347, 1998	2450	1998
Formation and control of optimal trajectory in human multijoint arm movement Y Uno, M Kawato, R Suzuki Biological cybernetics 61 (2), 89-101, 1989	2274	1989
A hierarchical neural-network model for control and learning of voluntary movement M Kawato, K Furukawa, R Suzuki Biological cybernetics 57 (3), 169-185, 1987	1999	1987
A unifying computational framework for motor control and social interaction DM Wolpert, K Doya, M Kawato Philosophical Transactions of the Royal Society of London. Series B …, 2003	1422	2003
Human cerebellar activity reflecting an acquired internal model of a new tool H Imamizu, S Miyauchi, T Tamada, Y Sasaki, R Takino, B PuÈtz, ... Nature 403 (6766), 192-195, 2000	1186	2000
The central nervous system stabilizes unstable dynamics by learning optimal impedance E Burdet, R Osu, DW Franklin, TE Milner, M Kawato Nature 414 (6862), 446-449, 2001	1131	2001
Mosaic model for sensorimotor learning and control M Haruno, DM Wolpert, M Kawato Neural computation 13 (10), 2201-2220, 2001	877	2001
Hierarchical neural network model for voluntary movement with application to robotics M Kawato, Y Uno, M Isobe, R Suzuki IEEE Control Systems Magazine 8 (2), 8-15, 1988	676*	1988
A computational model of four regions of the cerebellum based on feedback-error learning M Kawato, H Gomi Biological cybernetics 68 (2), 95-103, 1992	663	1992
Equilibrium-point control hypothesis examined by measured arm stiffness during multijoint movement H Gomi, M Kawato Science 272 (5258), 117-120, 1996	642	1996
Feedback-error-learning neural network for trajectory control of a robotic manipulator H Miyamoto, M Kawato, T Setoyama, R Suzuki Neural networks 1 (3), 251-265, 1988	583	1988
Multiple model-based reinforcement learning K Doya, K Samejima, K Katagiri, M Kawato Neural computation 14 (6), 1347-1369, 2002	564	2002
Learning from demonstration and adaptation of biped locomotion J Nakanishi, J Morimoto, G Endo, G Cheng, S Schaal, M Kawato Robotics and autonomous systems 47 (2-3), 79-91, 2004	517	2004
Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation K Shibata, T Watanabe, Y Sasaki, M Kawato science 334 (6061), 1413-1415, 2011	470	2011
Feedback-error-learning neural network for supervised motor learning M Kawato Advanced neural computers, 365-372, 1990	468	1990
Human arm stiffness and equilibrium-point trajectory during multi-joint movement H Gomi, M Kawato Biological cybernetics 76 (3), 163-171, 1997	462	1997
Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model DW Franklin, R Osu, E Burdet, M Kawato, TE Milner Journal of neurophysiology 90 (5), 3270-3282, 2003	441	2003
Quantitative examinations of internal representations for arm trajectory planning: minimum commanded torque change model E Nakano, H Imamizu, R Osu, Y Uno, H Gomi, T Yoshioka, M Kawato Journal of Neurophysiology 81 (5), 2140-2155, 1999	436	1999

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