Learning of scaling factors and reference axes for reaching movements.
about
Visuomotor adaptation in normal agingHow does our motor system determine its learning rate?Distinct haptic cues do not reduce interference when learning to reach in multiple force fields.Differences in context and feedback result in different trajectories and adaptation strategies in reachingVisuomotor adaptation in Parkinson's disease: effects of perturbation type and medication state.Sensorimotor Learning: Neurocognitive Mechanisms and Individual DifferencesLearning not to generalize: modular adaptation of visuomotor gain.Generalization of dynamics learning across changes in movement amplitudeVisual, motor and attentional influences on proprioceptive contributions to perception of hand path rectilinearity during reaching.Motor memory is encoded as a gain-field combination of intrinsic and extrinsic action representations.The nervous system uses nonspecific motor learning in response to random perturbations of varying natureReorganization of finger coordination patterns during adaptation to rotation and scaling of a newly learned sensorimotor transformation.Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models.Patterns of hypermetria and terminal cocontraction during point-to-point movements demonstrate independent action of trajectory and postural controllers.Asymmetric generalization in adaptation to target displacement errors in humans and in a neural network modelDissociable contribution of the parietal and frontal cortex to coding movement direction and amplitude.The effects of working memory resource depletion and training on sensorimotor adaptation.Generalization patterns for reach adaptation and proprioceptive recalibration differ after visuomotor learning.Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortexReaching is Better When You Get What You Want: Realtime Feedback of Intended Reaching Trajectory Despite an Unstable Environment.Feedback-dependent generalizationGeneralization of unconstrained reaching with hand-weight changes.Context-dependent generalization.Modeling sensorimotor learning with linear dynamical systemsSinusoidal error perturbation reveals multiple coordinate systems for sensorymotor adaptation.Learning a visuomotor rotation: simultaneous visual and proprioceptive information is crucial for visuomotor remappingComputer use changes generalization of movement learning.Visuo-proprioceptive interactions during adaptation of the human reach.Explicit and implicit contributions to learning in a sensorimotor adaptation task.Visuomotor discordance in virtual reality: effects on online motor control.Visuomotor adaptation in head-mounted virtual reality versus conventional trainingThe role of strategies in motor learningTowards mastery of complex visuo-motor transformationsTwo different motor learning mechanisms contribute to learning reaching movements in a rotated visual environment.Neural predictors of sensorimotor adaptation rate and savings.Feedback control policies employed by people using intracortical brain-computer interfaces.Energy exchanges at contact events guide sensorimotor integration.Variable Neural Contributions to Explicit and Implicit Learning During Visuomotor AdaptationLate Bayesian inference in mental transformations
P2860
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P2860
Learning of scaling factors and reference axes for reaching movements.
description
1996 nî lūn-bûn
@nan
1996年の論文
@ja
1996年学术文章
@wuu
1996年学术文章
@zh
1996年学术文章
@zh-cn
1996年学术文章
@zh-hans
1996年学术文章
@zh-my
1996年学术文章
@zh-sg
1996年學術文章
@yue
1996年學術文章
@zh-hant
name
Learning of scaling factors and reference axes for reaching movements.
@en
Learning of scaling factors and reference axes for reaching movements.
@nl
type
label
Learning of scaling factors and reference axes for reaching movements.
@en
Learning of scaling factors and reference axes for reaching movements.
@nl
prefLabel
Learning of scaling factors and reference axes for reaching movements.
@en
Learning of scaling factors and reference axes for reaching movements.
@nl
P2093
P1433
P1476
Learning of scaling factors and reference axes for reaching movements.
@en
P2093
P304
P577
1996-10-01T00:00:00Z