Mitsuo Kawato

Cited by

	All	Since 2018
Citations	51929	14041
h-index	107	57
i10-index	321	198

2800

1400

700

2100

19891990199119921993199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023133 164 230 287 335 439 515 524 507 561 546 743 933 844 1091 1394 1412 1626 1930 2054 2256 2093 2195 2292 2789 2334 2308 2290 2281 2242 2220 2271 2788 2413 2083

Public access

View all

53 articles

1 article

available

not available

Based on funding mandates

Co-authors

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

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	3200	1999
Multiple paired forward and inverse models for motor control DM Wolpert, M Kawato Neural networks 11 (7-8), 1317-1329, 1998	2762	1998
Internal models in the cerebellum DM Wolpert, RC Miall, M Kawato Trends in cognitive sciences 2 (9), 338-347, 1998	2724	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	2338	1989
A hierarchical neural-network model for control and learning of voluntary movement M Kawato, K Furukawa, R Suzuki Biological cybernetics 57, 169-185, 1987	2112	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	1544	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	1265	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	1233	2001
Mosaic model for sensorimotor learning and control M Haruno, DM Wolpert, M Kawato Neural computation 13 (10), 2201-2220, 2001	928	2001
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	714	1992
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	698*	1988
Equilibrium-point control hypothesis examined by measured arm stiffness during multijoint movement H Gomi, M Kawato Science 272 (5258), 117-120, 1996	668	1996
Multiple model-based reinforcement learning K Doya, K Samejima, K Katagiri, M Kawato Neural computation 14 (6), 1347-1369, 2002	617	2002
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	616	1988
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	544	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	527	2011
Feedback-error-learning neural network for supervised motor learning M Kawato Advanced neural computers, 365-372, 1990	502	1990
Human arm stiffness and equilibrium-point trajectory during multi-joint movement H Gomi, M Kawato Biological cybernetics 76 (3), 163-171, 1997	495	1997
Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning M Haruno, M Kawato Journal of neurophysiology 95 (2), 948-959, 2006	482	2006
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	481	2003

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors