Internal models for motor control and trajectory planning
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[1] Hiroshi Imamizu,et al. Human cerebellar activity reflecting an acquired internal model of a new tool , 2000, Nature.
[2] T. Kitama,et al. Motor dynamics encoding in cat cerebellar flocculus middle zone during optokinetic eye movements. , 1999, Journal of neurophysiology.
[3] D J Ostry,et al. Compensation for interaction torques during single- and multijoint limb movement. , 1999, Journal of neurophysiology.
[4] J R Flanagan,et al. Composition and Decomposition of Internal Models in Motor Learning under Altered Kinematic and Dynamic Environments , 1999, The Journal of Neuroscience.
[5] Kenji Doya,et al. What are the computations of the cerebellum, the basal ganglia and the cerebral cortex? , 1999, Neural Networks.
[6] P. Morasso,et al. Can muscle stiffness alone stabilize upright standing? , 1999, Journal of neurophysiology.
[7] K. Doya,et al. Electrophysiological properties of inferior olive neurons: A compartmental model. , 1999, Journal of neurophysiology.
[8] L. Snyder. This way up: illusions and internal models in the vestibular system , 1999, Nature Neuroscience.
[9] Y Uno,et al. Quantitative examinations of internal representations for arm trajectory planning: minimum commanded torque change model. , 1999, Journal of neurophysiology.
[10] R. Shadmehr,et al. Inhibitory control of competing motor memories , 1999, Experimental Brain Research.
[11] D M Merfeld,et al. Humans use internal models to estimate gravity and linear acceleration , 1999, Nature.
[12] J. Baizer,et al. Cerebellar lesions and prism adaptation in macaque monkeys. , 1999, Journal of neurophysiology.
[13] R L Sainburg,et al. Intersegmental dynamics are controlled by sequential anticipatory, error correction, and postural mechanisms. , 1999, Journal of neurophysiology.
[14] M. Kawato,et al. Cerebro-cerebellar functional connectivity revealed by the laterality index in tool-use learning. , 1999, Neuroreport.
[15] H. Eng,et al. Synthesis of β-Tubulin, Actin, and Other Proteins in Axons of Sympathetic Neurons in Compartmented Cultures , 1999, The Journal of Neuroscience.
[16] Masaaki Honda,et al. Kinematic construction of the trajectory of sequential arm movements , 1999, Biological Cybernetics.
[17] J. Vercher,et al. The oculomanual coordination control center takes into account the mechanical properties of the arm , 1999, Experimental Brain Research.
[18] B. Hess,et al. Oculomotor control of primary eye position discriminates between translation and tilt. , 1999, Journal of neurophysiology.
[19] T. Ebner. A role for the cerebellum in the control of limb movement velocity , 1998, Current Opinion in Neurobiology.
[20] Mitsuo Kawato,et al. Multiple Paired Forward-Inverse Models for Human Motor Learning and Control , 1998, NIPS.
[21] D. Wolpert,et al. Central cancellation of self-produced tickle sensation , 1998, Nature Neuroscience.
[22] M. Kawato,et al. A strategy of motor learning using adjustable parameters for arm movement , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).
[23] D M Wolpert,et al. Multiple paired forward and inverse models for motor control , 1998, Neural Networks.
[24] D M Wolpert,et al. Predicting the Consequences of Our Own Actions: The Role of Sensorimotor Context Estimation , 1998, The Journal of Neuroscience.
[25] P. Strick,et al. The cerebellum: an overview , 1998, Trends in Neurosciences.
[26] J. Simpson,et al. Microcircuitry and function of the inferior olive , 1998, Trends in Neurosciences.
[27] Daniel M. Wolpert,et al. Making smooth moves , 2022 .
[28] M. Kawato,et al. Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys II. Complex spikes. , 1998, Journal of neurophysiology.
[29] J. Lackner,et al. Gravitoinertial force background level affects adaptation to coriolis force perturbations of reaching movements. , 1998, Journal of neurophysiology.
[30] Michael I. Jordan,et al. Smoothness maximization along a predefined path accurately predicts the speed profiles of complex arm movements. , 1998, Journal of neurophysiology.
[31] Michael I. Jordan,et al. The Role of Inertial Sensitivity in Motor Planning , 1998, The Journal of Neuroscience.
[32] W. T. Thach. A Role for the Cerebellum in Learning Movement Coordination , 1998, Neurobiology of Learning and Memory.
[33] W. T. Thach,et al. Simple spike activity predicts occurrence of complex spikes in cerebellar Purkinje cells , 1998, Nature Neuroscience.
[34] Tatsuya Kimura,et al. Cerebellar complex spikes encode both destinations and errors in arm movements , 1998, Nature.
[35] D. Wolpert,et al. Temporal and amplitude generalization in motor learning. , 1998, Journal of neurophysiology.
[36] D J Ostry,et al. Are complex control signals required for human arm movement? , 1998, Journal of neurophysiology.
[37] M. Arbib,et al. Role of the cerebellum in reaching movements in humans. II. A neural model of the intermediate cerebellum , 1998, The European journal of neuroscience.
[38] M. Kawato,et al. Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys I. Simple spikes. , 1998, Journal of neurophysiology.
[39] Yasushi Kobayashi,et al. A mathematical model that reproduces vertical ocular following responses from visual stimuli by reproducing the simple spike firing frequency of Purkinje cells in the cerebellum , 1997, Neuroscience Research.
[40] F. Mussa-Ivaldi,et al. The motor system does not learn the dynamics of the arm by rote memorization of past experience. , 1997, Journal of neurophysiology.
[41] R Osu,et al. Possible explanations for trajectory curvature in multijoint arm movements. , 1997, Journal of experimental psychology. Human perception and performance.
[42] E. Rolls,et al. Cognition, Computation, and Consciousness , 1997 .
[43] M. Kawato. Bidirectional theory approach to consciousness. , 1997 .
[44] Zoubin Ghahramani,et al. Modular decomposition in visuomotor learning , 1997, Nature.
[45] S. Kitazawa,et al. Prism Adaptation of Reaching Movements: Specificity for the Velocity of Reaching , 1997, The Journal of Neuroscience.
[46] J R Flanagan,et al. The Role of Internal Models in Motion Planning and Control: Evidence from Grip Force Adjustments during Movements of Hand-Held Loads , 1997, The Journal of Neuroscience.
[47] T. Brashers-Krug,et al. Functional Stages in the Formation of Human Long-Term Motor Memory , 1997, The Journal of Neuroscience.
[48] Michael I. Jordan,et al. Generalization to Local Remappings of the Visuomotor Coordinate Transformation , 1996, The Journal of Neuroscience.
[49] Howard N. Zelaznik,et al. Advances in Motor Learning and Control , 1996 .
[50] E Bizzi,et al. Motor learning by field approximation. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[51] Mitsuo Kawato,et al. Equilibrium-Point Control Hypothesis Examined by Measured Arm Stiffness During Multijoint Movement , 1996, Science.
[52] Mitsuo Kawato,et al. TRAJECTORY FORMATION IN ARM MOVEMENTS: MINIMIZATION PRINCIPLES AND PROCEDURES , 1996 .
[53] A. Takemura,et al. Visual inputs to cerebellar ventral paraflocculus during ocular following responses. , 1996, Progress in brain research.
[54] Yiannis Aloimonos,et al. Vision and action , 1995, Image Vis. Comput..
[55] J R Flanagan,et al. Trajectory adaptation to a nonlinear visuomotor transformation: evidence of motion planning in visually perceived space. , 1995, Journal of neurophysiology.
[56] M. Kawato,et al. Internal representations of the motor apparatus: implications from generalization in visuomotor learning. , 1995, Journal of experimental psychology. Human perception and performance.
[57] J. Lackner,et al. Rapid adaptation to Coriolis force perturbations of arm trajectory. , 1994, Journal of neurophysiology.
[58] Terence D. Sanger,et al. Neural network learning control of robot manipulators using gradually increasing task difficulty , 1994, IEEE Trans. Robotics Autom..
[59] F A Mussa-Ivaldi,et al. Adaptive representation of dynamics during learning of a motor task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[60] M. Kawato,et al. Inverse-dynamics model eye movement control by Purkinje cells in the cerebellum , 1993, Nature.
[61] D. Wolpert,et al. Is the cerebellum a smith predictor? , 1993, Journal of motor behavior.
[62] M. Kawato,et al. The cerebellum and VOR/OKR learning models , 1992, Trends in Neurosciences.
[63] Michael I. Jordan,et al. Forward Models: Supervised Learning with a Distal Teacher , 1992, Cogn. Sci..
[64] G. L. Gottlieb,et al. Reconstruction of shifting elbow joint compliant characteristics during fast and slow movements , 1991, Neuroscience.
[65] Geoffrey E. Hinton,et al. Adaptive Mixtures of Local Experts , 1991, Neural Computation.
[66] 宇野 洋二,et al. Formation and control of optimal trajectory in human multijoint arm movement : minimum torque-change model , 1988 .
[67] T. Flash,et al. The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[68] E. Bizzi,et al. Posture control and trajectory formation during arm movement , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[69] E. Bizzi,et al. Human arm trajectory formation. , 1982, Brain : a journal of neurology.
[70] J. Albus. A Theory of Cerebellar Function , 1971 .
[71] M Ito,et al. Neurophysiological aspects of the cerebellar motor control system. , 1970, International journal of neurology.
[72] D. Marr. A theory of cerebellar cortex , 1969, The Journal of physiology.