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., NTT Corporation (Nippon Telegraph and Telephone Co.)Verified email at ntt.com
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
Aurelio CorteseComputational Neuroscience Labs, ATR, Kyoto, JapanVerified email at atr.jp
Okito YamashitaNeural Inforamtion Analysis Laboratories, ATRVerified email at atr.jp
Hakwan LauInstitute for Basic Science (IBS), KoreaVerified email at skku.edu
Yasuharu KoikeTokyo Institute of TechnologyVerified email at pi.titech.ac.jp
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Nicolas SchweighoferProfessor, University of Southern CaliforniaVerified email at usc.edu
Erhan OztopComputer Science, Ozyegin University/OTRI, SISReC, Osaka UniversityVerified email at ozyegin.edu.tr
Gordon ChengTechnical University of MunichVerified email at tum.de
Daniel CallanChief Researcher, Brain Information Communication Research Laboratories, ATRVerified email at atr.jp
Ryu-ichiro HashimotoProfessor of Language Sciences, Tokyo Metropolitan UniversityVerified email at tmu.ac.jp
Giuseppe LisiFormer Computational Neuroscience Labs, ATR, Kyoto, JapanVerified email at atr.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	3339	1999
Internal models in the cerebellum DM Wolpert, RC Miall, M Kawato Trends in cognitive sciences 2 (9), 338-347, 1998	2893	1998
Multiple paired forward and inverse models for motor control DM Wolpert, M Kawato Neural networks 11 (7-8), 1317-1329, 1998	2864	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	2370	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	2168	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	1623	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	1306	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	1303	2001
Mosaic model for sensorimotor learning and control M Haruno, DM Wolpert, M Kawato Neural computation 13 (10), 2201-2220, 2001	969	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	728	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	701*	1988
Equilibrium-point control hypothesis examined by measured arm stiffness during multijoint movement H Gomi, M Kawato Science 272 (5258), 117-120, 1996	687	1996
Multiple model-based reinforcement learning K Doya, K Samejima, K Katagiri, M Kawato Neural computation 14 (6), 1347-1369, 2002	652	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	607	1988
Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation K Shibata, T Watanabe, Y Sasaki, M Kawato science 334 (6061), 1413-1415, 2011	569	2011
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	551	2004
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	513	2006
Feedback-error-learning neural network for supervised motor learning M Kawato Advanced neural computers, 365-372, 1990	511	1990
Human arm stiffness and equilibrium-point trajectory during multi-joint movement H Gomi, M Kawato Biological cybernetics 76 (3), 163-171, 1997	510	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	508	2003

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