Impedance control and internal model formation when reaching in a randomly varying dynamical environment.
about
The effect of contextual cues on the encoding of motor memoriesMechanisms of motor adaptation in reactive balance controlNonhomogeneous transfer reveals specificity in speech motor learning.Supplemental vibrotactile feedback control of stabilization and reaching actions of the arm using limb state and position error encodings.Visual feedback is not necessary for the learning of novel dynamics.Compensation for changing motor uncertainty.Generalization of dynamics learning across changes in movement amplitudeEnvironmental consistency determines the rate of motor adaptation.Visual, motor and attentional influences on proprioceptive contributions to perception of hand path rectilinearity during reaching.Manual skill generalization enhanced by negative viscosityMini-max feedback control as a computational theory of sensorimotor control in the presence of structural uncertaintyConvergent models of handedness and brain lateralization.Computational motor control: redundancy and invariance.Neural averaging in motor learning.Younger is not always better: development of locomotor adaptation from childhood to adulthoodLimb dominance results from asymmetries in predictive and impedance control mechanisms.Remembering forward: neural correlates of memory and prediction in human motor adaptation.Impedance control is selectively tuned to multiple directions of movementCoordinate Representations for Interference Reduction in Motor Learning.Flexible Control of Safety Margins for Action Based on Environmental VariabilityTask-dependent coordination of rapid bimanual motor responses.Changes in visual and sensory-motor resting-state functional connectivity support motor learning by observing.The role of kinematic redundancy in adaptation of reachingAdaptation to sequence force perturbation during vertical and horizontal reaching movement-averaging the past or predicting the future?A natural user interface to integrate citizen science and physical exercise.Reaching is Better When You Get What You Want: Realtime Feedback of Intended Reaching Trajectory Despite an Unstable Environment.Computational principles of sensorimotor control that minimize uncertainty and variability.Sinusoidal error perturbation reveals multiple coordinate systems for sensorymotor adaptation.Adaptation and generalization to opposing perturbations in walkingVisuo-proprioceptive interactions during adaptation of the human reach.Structure learning in actionCatch trials in force field learning influence adaptation and consolidation of human motor memory.Predictability and Robustness in the Manipulation of Dynamically Complex Objects.The training schedule affects the stability, not the magnitude, of the interlimb transfer of learned dynamics.Discordant Tasks and Motor Adjustments Affect Interactions between Adaptations to Altered Kinematics and Dynamics.Excessive Sensitivity to Uncertain Visual Input in L-DOPA-Induced Dyskinesias in Parkinson's Disease: Further Implications for Cerebellar Involvement.Motor task variation induces structural learningEffect of muscle fatigue on internal model formation and retention during reaching with the arm.The absence or temporal offset of visual feedback does not influence adaptation to novel movement dynamics.Contributions of online visual feedback to the learning and generalization of novel finger coordination patterns.
P2860
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P2860
Impedance control and internal model formation when reaching in a randomly varying dynamical environment.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh
2001年學術文章
@zh-hant
name
Impedance control and internal ...... varying dynamical environment.
@en
Impedance control and internal ...... varying dynamical environment.
@nl
type
label
Impedance control and internal ...... varying dynamical environment.
@en
Impedance control and internal ...... varying dynamical environment.
@nl
prefLabel
Impedance control and internal ...... varying dynamical environment.
@en
Impedance control and internal ...... varying dynamical environment.
@nl
P2093
P2860
P1476
Impedance control and internal ...... varying dynamical environment.
@en
P2093
C D Takahashi
D J Reinkensmeyer
R A Scheidt
P2860
P304
P356
10.1152/JN.2001.86.2.1047
P407
P577
2001-08-01T00:00:00Z