Takip et
Mitsuo Kawato
Mitsuo Kawato
ATR
atr.jp üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Internal models for motor control and trajectory planning
M Kawato
Current opinion in neurobiology 9 (6), 718-727, 1999
33861999
Internal models in the cerebellum
DM Wolpert, RC Miall, M Kawato
Trends in cognitive sciences 2 (9), 338-347, 1998
29291998
Multiple paired forward and inverse models for motor control
DM Wolpert, M Kawato
Neural networks 11 (7-8), 1317-1329, 1998
28911998
Formation and control of optimal trajectory in human multijoint arm movement
Y Uno, M Kawato, R Suzuki
Biological cybernetics 61 (2), 89-101, 1989
24041989
A hierarchical neural-network model for control and learning of voluntary movement
M Kawato, K Furukawa, R Suzuki
Biological cybernetics 57, 169-185, 1987
21911987
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
16372003
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
13262001
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
13142000
Mosaic model for sensorimotor learning and control
M Haruno, DM Wolpert, M Kawato
Neural computation 13 (10), 2201-2220, 2001
9812001
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
7411992
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
699*1988
Equilibrium-point control hypothesis examined by measured arm stiffness during multijoint movement
H Gomi, M Kawato
Science 272 (5258), 117-120, 1996
6881996
Multiple model-based reinforcement learning
K Doya, K Samejima, K Katagiri, M Kawato
Neural computation 14 (6), 1347-1369, 2002
6602002
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
6171988
Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation
K Shibata, T Watanabe, Y Sasaki, M Kawato
science 334 (6061), 1413-1415, 2011
5812011
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
5592004
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
5242006
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
5212003
Human arm stiffness and equilibrium-point trajectory during multi-joint movement
H Gomi, M Kawato
Biological cybernetics 76 (3), 163-171, 1997
5161997
Feedback-error-learning neural network for supervised motor learning
M Kawato
Advanced neural computers, 365-372, 1990
5031990
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20