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Author:
Mitsuo Kawato: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yoshifumi Kitamura, Yoshihisa Yamaguchi, Hiroshi Imamizu, Fumio Kishino, Mitsuo Kawato
    Things happening in the brain while humans learn to use new tools. [Citation Graph (0, 0)][DBLP]
    CHI, 2003, pp:417-424 [Conf]
  2. Mitsuo Kawato
    Humanoid Robots as Research Tools of Computational Neuroscience. [Citation Graph (0, 0)][DBLP]
    FSKD, 2002, pp:7-8 [Conf]
  3. Yasuhiro Wada, Yuichi Kaneko, Eri Nakano, Rieko Osu, Mitsuo Kawato
    Multi Joint Arm Trajectory Formation Based on the Minimization Principle Using the Euler-Poisson Equation. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:977-986 [Conf]
  4. Mitsuo Kawato
    Multiple Paired Forward-Inverse Models in the Cerebellum. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1177-1180 [Conf]
  5. Nicolas Schweighofer, Kenji Doya, Mitsuo Kawato
    A Model of the Electrophysiological Properties of the Inferior Olive Neurons. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1525-1528 [Conf]
  6. Menashe Dornay, Yoji Uno, Mitsuo Kawato, Ryoji Suzuki
    Simulation of Optimal Movements Using the Minimum-Muscle-Tension-Change Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:627-634 [Conf]
  7. Hiroaki Gomi, Mitsuo Kawato
    Recognition of Manipulated Objects by Motor Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:547-554 [Conf]
  8. Masahiko Haruno, Daniel M. Wolpert, Mitsuo Kawato
    Multiple Paired Forward-Inverse Models for Human Motor Learning and Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:31-37 [Conf]
  9. Makoto Hirayama, Eric Vatikiotis-Bateson, Kiyoshi Honda, Yasuharu Koike, Mitsuo Kawato
    Physiologically Based Speech Synthesis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:658-665 [Conf]
  10. Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato
    Inverse Dynamics of Speech Motor Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1043-1050 [Conf]
  11. Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato, Michael I. Jordan
    Forward Dynamics Modeling of Speech Motor Control Using Physiological Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:191-198 [Conf]
  12. Masazumi Katayama, Mitsuo Kawato
    Learning Trajectory and Force Control of an Artificial Muscle Arm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:436-442 [Conf]
  13. Toshiaki Okamoto, Mitsuo Kawato, Toshio Inui, Sei Miyake
    Model Based Image Compression and Adaptive Data Representaion by Interacting Filter Banks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:298-305 [Conf]
  14. Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Lauren Sergio, Shinji Kakei, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal
    Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  15. Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato
    Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:311-318 [Conf]
  16. Yasuhiro Wada, Yasuharu Koike, Eric Vatikiotis-Bateson, Mitsuo Kawato
    A Computational Model for Cursive Handwriting Based on the Minimization Principle. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:727-734 [Conf]
  17. E. Burdet, K. P. Tee, I. Mareels, T. E. Milner, C. M. Chew, D. W. Franklin, Rieko Osu, Mitsuo Kawato
    Stability and motor adaptation in human arm movements. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2006, v:94, n:1, pp:20-32 [Journal]
  18. Christopher G. Atkeson, Joshua G. Hale, Frank E. Pollick, Marcia Riley, Shinya Kotosaka, Stefan Schaal, Tomohiro Shibata, Gaurav Tevatia, Ales Ude, Sethu Vijayakumar, Mitsuo Kawato
    Using Humanoid Robots to Study Human Behavior. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2000, v:15, n:4, pp:46-56 [Journal]
  19. Erhan Oztop, Hiroshi Imamizu, Gordon Cheng, Mitsuo Kawato
    A computational model of anterior intraparietal (AIP) neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1354-1361 [Journal]
  20. Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato
    Multiple Model-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:6, pp:1347-1369 [Journal]
  21. Masahiko Haruno, Daniel M. Wolpert, Mitsuo Kawato
    MOSAIC Model for Sensorimotor Learning and Control. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:10, pp:2201-2220 [Journal]
  22. Hiroaki Gomi, Mitsuo Kawato
    Recognition of manipulated objects by motor learning with modular architecture networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:4, pp:485-497 [Journal]
  23. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    Editorial for 2002: A Time of Exuberant Development. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:1, pp:1-0 [Journal]
  24. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    Celebrating the Year with a Special Issue for IJCNN'03. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:1, pp:1- [Journal]
  25. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    Another exciting year for the INNS/ENNS/JNNS journal! [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:1, pp:1- [Journal]
  26. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    A year of exciting Special Issues! [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:1, pp:13-0 [Journal]
  27. Hideki Hayakawa, Shinya Nishida, Yasuhiro Wada, Mitsuo Kawato
    A computational model for shape estimation by integration of shading and edge information. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:8, pp:1193-1209 [Journal]
  28. Hiroyuki Miyamoto, Mitsuo Kawato
    A tennis serve and upswing learning robot based on bi-directional theory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:7-8, pp:1331-1344 [Journal]
  29. Hiroyuki Miyamoto, Mitsuo Kawato, Tohru Setoyama, Ryoji Suzuki
    Feedback-error-learning neural network for trajectory control of a robotic manipulator. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1988, v:1, n:3, pp:251-265 [Journal]
  30. Hiroyuki Miyamoto, Jun Morimoto, Kenji Doya, Mitsuo Kawato
    Reinforcement learning with via-point representation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:3, pp:299-305 [Journal]
  31. Hiroyuki Miyamoto, Stefan Schaal, Francesca Gandolfo, Hiroaki Gomi, Yasuharu Koike, Rieko Osu, Eri Nakano, Yasuhiro Wada, Mitsuo Kawato
    A Kendama Learning Robot Based on Bi-directional Theory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:8, pp:1281-1302 [Journal]
  32. Shigeaki Nishina, Mitsuo Kawato
    A computational model of spatio-temporal dynamics in depth filling-in. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:2, pp:159-163 [Journal]
  33. Erhan Oztop, Mitsuo Kawato, Michael A. Arbib
    Mirror neurons and imitation: A computationally guided review. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:3, pp:254-271 [Journal]
  34. Tomohiro Shibata, Hiromitsu Tabata, Stefan Schaal, Mitsuo Kawato
    A model of smooth pursuit in primates based on learning the target dynamics. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:3, pp:213-224 [Journal]
  35. Kazuyuki Samejima, Kenji Doya, Mitsuo Kawato
    Inter-module credit assignment in modular reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:7, pp:985-994 [Journal]
  36. Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato
    A computational model for recognizing objects and planning hand shapes in grasping movements. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:6, pp:839-851 [Journal]
  37. Yasuhiro Wada, Mitsuo Kawato
    A via-point time optimization algorithm for complex sequential trajectory formation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:3, pp:353-364 [Journal]
  38. Daniel M. Wolpert, Mitsuo Kawato
    Multiple paired forward and inverse models for motor control. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:7-8, pp:1317-1329 [Journal]
  39. Yasuhiro Wada, Yuichi Kaneko, Eri Nakano, Rieko Osu, Mitsuo Kawato
    Quantitative examinations for multi joint arm trajectory planning--using a robust calculation algorithm of the minimum commanded torque change trajectory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:4-5, pp:381-393 [Journal]
  40. Masahiko Haruno, Mitsuo Kawato
    Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:8, pp:1242-1254 [Journal]
  41. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    Editorial for 2007: Another year of exciting special issues! [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:1, pp:10-11 [Journal]
  42. Jun Nakanishi, Jun Morimoto, Gen Endo, Gordon Cheng, Stefan Schaal, Mitsuo Kawato
    Learning from demonstration and adaptation of biped locomotion. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:47, n:2-3, pp:79-91 [Journal]
  43. Yuichi Kaneko, Eri Nakano, Rieko Osu, Yasuhiro Wada, Mitsuo Kawato
    Trajectory formation based on the minimum commanded torque change model using the Euler-Poisson equation. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2005, v:36, n:2, pp:92-103 [Journal]
  44. Hiroyuki Miyamoto, Eri Nakano, Daniel M. Wolpert, Mitsuo Kawato
    TOPS (Task Optimization in the Presence of Signal-Dependent Noise) model. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2004, v:35, n:11, pp:48-58 [Journal]
  45. Eri Nakano, John R. Flanagan, Hiroshi Imamizu, Rieko Osu, Toshinori Yoshioka, Mitsuo Kawato
    Composition and decomposition learning of reaching movements under altered environments: An examination of the multiplicity of internal models. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2002, v:33, n:11, pp:80-94 [Journal]
  46. Shinya Taguchi, Hiromitsu Tabata, Tomohiro Shibata, Mitsuo Kawato
    Transformation from population codes to firing rate codes by learning: Neural representation of smooth pursuit eye movements. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2004, v:35, n:6, pp:79-88 [Journal]
  47. Kazuhiro Yamanaka, Yasuhiro Wada, Mitsuo Kawato
    Quantitative examinations for human arm trajectory planning in three-dimensional space. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2003, v:34, n:7, pp:43-54 [Journal]
  48. Erhan Oztop, Li-Heng Lin, Mitsuo Kawato, Gordon Cheng
    Extensive Human Training for Robot Skill Synthesis: Validation on a Robotic Hand. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:1788-1793 [Conf]
  49. Naoki Yoshida, Kazuhisa Domen, Yasuharu Koike, Mitsuo Kawato
    A method for estimating torque-vector directions of shoulder muscles using surface EMGs. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2002, v:86, n:3, pp:167-177 [Journal]
  50. Naoki Yoshida, Kazuhisa Domen, Yasuharu Koike, Mitsuo Kawato
    A method for estimating torque-vector directions of shoulder muscles using surface EMGs. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2002, v:86, n:5, pp:167-177 [Journal]

  51. Reflex Contributions to the Directional Tuning of Arm Stiffness. [Citation Graph (, )][DBLP]


  52. Conflicting Visual and Proprioceptive Reflex Responses During Reaching Movements. [Citation Graph (, )][DBLP]


  53. An Involuntary Muscular Response Induced by Perceived Visual Errors in Hand Position. [Citation Graph (, )][DBLP]


  54. Reconstruction of Temporal Movement from Single-trial Non-invasive Brain Activity: A Hierarchical Bayesian Method. [Citation Graph (, )][DBLP]


  55. Decoding Syllables from Human fMRI Activity. [Citation Graph (, )][DBLP]


  56. From Biologically Realistic Imitation to Robot Teaching Via Human Motor Learning. [Citation Graph (, )][DBLP]


  57. Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources. [Citation Graph (, )][DBLP]


  58. Brain-controlled robots. [Citation Graph (, )][DBLP]


  59. CB: Exploring neuroscience with a humanoid research platform. [Citation Graph (, )][DBLP]


  60. From compliant balancing to dynamic walking on humanoid robot: Integration of CNS and CPG. [Citation Graph (, )][DBLP]


  61. Biomimetic motor behavior for simultaneous adaptation of force, impedance and trajectory in interaction tasks. [Citation Graph (, )][DBLP]


  62. Computational Neuroscience and Multiple-Valued Logic. [Citation Graph (, )][DBLP]


  63. eMOSAIC Model for Humanoid Robot Control. [Citation Graph (, )][DBLP]


  64. Concurrent adaptation of force and impedance in the redundant muscle system. [Citation Graph (, )][DBLP]


  65. Statistical characteristics of climbing fiber spikes necessary for efficient cerebellar learning. [Citation Graph (, )][DBLP]


  66. Human arm stiffness and equilibrium-point trajectory during multi-joint movement. [Citation Graph (, )][DBLP]


  67. Estimation of dynamic joint torques and trajectory formation from surface electromyography signals using a neural network model. [Citation Graph (, )][DBLP]


  68. A theory for cursive handwriting based on the minimization principle. [Citation Graph (, )][DBLP]


  69. A computational theory for movement pattern recognition based on optimal movement pattern generation. [Citation Graph (, )][DBLP]


  70. Virtual trajectory and stiffness ellipse during multijoint arm movement predicted by neural inverse models. [Citation Graph (, )][DBLP]


  71. Adaptive feedback control models of the vestibulocerebellum and spinocerebellum. [Citation Graph (, )][DBLP]


  72. A computational model of four regions of the cerebellum based on feedback-error learning. [Citation Graph (, )][DBLP]


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