Mitsuo Kawato

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Hiroshi ImamizuThe University of Tokyo and ATR Cognitive Mechanisms Labs.Patvirtintas el. paštas l.u-tokyo.ac.jp
Hiroaki GomiNTT Communication Science Labs., NTT Corporation (Nippon Telegraph and Telephone Co.)Patvirtintas el. paštas ntt.com
Etienne BurdetImperial College LondonPatvirtintas el. paštas ic.ac.uk
David FranklinAssociate Professor, Technical University of MunichPatvirtintas el. paštas tum.de
Kenji DoyaOkinawa Institute of Science and TechnologyPatvirtintas el. paštas oist.jp
Daniel WolpertProfessor of Neuroscience, Columbia UniversityPatvirtintas el. paštas columbia.edu
Jun MorimotoKyoto University & ATR Computational Neuroscience LabsPatvirtintas el. paštas atr.jp
Masahiko HarunoNICT CINET & Osaka UniversityPatvirtintas el. paštas nict.go.jp
Kazuhisa ShibataCenter for Brain Science, RIKENPatvirtintas el. paštas riken.jp
Aurelio CorteseComputational Neuroscience Labs, ATR, Kyoto, JapanPatvirtintas el. paštas atr.jp
Hakwan LauInstitute for Basic Science (IBS), KoreaPatvirtintas el. paštas skku.edu
Okito YamashitaNeural Inforamtion Analysis Laboratories, ATRPatvirtintas el. paštas atr.jp
Yasuharu KoikeTokyo Institute of TechnologyPatvirtintas el. paštas pi.titech.ac.jp
Stefan SchaalRobotics, Machine Learning, AI, NeurosciencePatvirtintas el. paštas google.com
Nicolas SchweighoferProfessor, University of Southern CaliforniaPatvirtintas el. paštas usc.edu
Erhan OztopComputer Science, Ozyegin University/OTRI, SISReC, Osaka UniversityPatvirtintas el. paštas ozyegin.edu.tr
Gordon ChengTechnical University of MunichPatvirtintas el. paštas tum.de
Daniel CallanChief Researcher, Brain Information Communication Research Laboratories, ATRPatvirtintas el. paštas atr.jp
Ryu-ichiro HashimotoProfessor of Language Sciences, Tokyo Metropolitan UniversityPatvirtintas el. paštas tmu.ac.jp
Giuseppe LisiFormer Computational Neuroscience Labs, ATR, Kyoto, JapanPatvirtintas el. paštas atr.jp

Stebėti

Mitsuo Kawato

ATR

Patvirtintas el. paštas atr.jp - Pagrindinis puslapis

neuroscience


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Internal models for motor control and trajectory planning M Kawato Current opinion in neurobiology 9 (6), 718-727, 1999	3381	1999
Internal models in the cerebellum DM Wolpert, RC Miall, M Kawato Trends in cognitive sciences 2 (9), 338-347, 1998	2925	1998
Multiple paired forward and inverse models for motor control DM Wolpert, M Kawato Neural networks 11 (7-8), 1317-1329, 1998	2890	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	2403	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	2189	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	1637	2003
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	1323	2001
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	1313	2000
Mosaic model for sensorimotor learning and control M Haruno, DM Wolpert, M Kawato Neural computation 13 (10), 2201-2220, 2001	981	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	741	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	688	1996
Multiple model-based reinforcement learning K Doya, K Samejima, K Katagiri, M Kawato Neural computation 14 (6), 1347-1369, 2002	660	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	617	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	580	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	559	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	523	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	521	2003
Human arm stiffness and equilibrium-point trajectory during multi-joint movement H Gomi, M Kawato Biological cybernetics 76 (3), 163-171, 1997	516	1997
Feedback-error-learning neural network for supervised motor learning M Kawato Advanced neural computers, 365-372, 1990	503	1990

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