about
Adaptive tuning functions arise from visual observation of past movement.Neural Tuning Functions Underlie Both Generalization and Interference.Fractionation of the visuomotor feedback response to directions of movement and perturbation.The effect of contextual cues on the encoding of motor memoriesGone in 0.6 seconds: the encoding of motor memories depends on recent sensorimotor states.Visual feedback is not necessary for the learning of novel dynamics.Generalization in adaptation to stable and unstable dynamics.Motor effort alters changes of mind in sensorimotor decision making.Coordinate Representations for Interference Reduction in Motor Learning.Task-dependent coordination of rapid bimanual motor responses.Visuomotor feedback gains upregulate during the learning of novel dynamics.When Optimal Feedback Control Is Not Enough: Feedforward Strategies Are Required for Optimal Control with Active SensingTemporal Evolution of Spatial Computations for Visuomotor Control.The temporal evolution of feedback gains rapidly update to task demands.Specificity of reflex adaptation for task-relevant variabilityThe Sensorimotor System Can Sculpt Behaviorally Relevant Representations for Motor Learning.Impedance control reduces instability that arises from motor noise.Motor Planning, Not Execution, Separates Motor Memories.Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning.Computational mechanisms of sensorimotor control.A dedicated binding mechanism for the visual control of movement.The value of the follow-through derives from motor learning depending on future actions.Active lead-in variability affects motor memory formation and slows motor learning.Rapid visuomotor feedback gains are tuned to the task dynamics.Different mechanisms involved in adaptation to stable and unstable dynamics.Central control of grasp: manipulation of objects with complex and simple dynamics.Adaptive control of stiffness to stabilize hand position with large loads.Functional significance of stiffness in adaptation of multijoint arm movements to stable and unstable dynamics.Accurate real-time feedback of surface EMG during fMRI.Central representation of dynamics when manipulating handheld objects.CNS learns stable, accurate, and efficient movements using a simple algorithm.Selection and control of limb posture for stability.Impedance control: Learning stability in human sensorimotor control.Stability and motor adaptation in human arm movements.Concurrent adaptation of force and impedance in the redundant muscle system.Feedback modulation: a window into cortical function.Endpoint stiffness of the arm is directionally tuned to instability in the environment.Impedance control and internal model use during the initial stage of adaptation to novel dynamics in humans.Impedance control balances stability with metabolically costly muscle activation.Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model.
P50
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P50
description
hulumtues
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researcher
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wetenschapper
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հետազոտող
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name
David W. Franklin
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David W. Franklin
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David W. Franklin
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David W. Franklin
@nl
David W. Franklin
@sl
type
label
David W. Franklin
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David W. Franklin
@en
David W. Franklin
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David W. Franklin
@nl
David W. Franklin
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prefLabel
David W. Franklin
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David W. Franklin
@en
David W. Franklin
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David W. Franklin
@nl
David W. Franklin
@sl
P106
P1153
7102400273
P21
P2456
P31
P4012
P496
0000-0001-9530-0820