A computational model of muscle recruitment for wrist movements.
about
Subject-specific muscle synergies in human balance control are consistent across different biomechanical contexts.Dissociating variability and effort as determinants of coordination.Effective force control by muscle synergiesMulti-muscle FES force control of the human arm for arbitrary goals.Temporal discounting of reward and the cost of time in motor control.Optimization of muscle activity for task-level goals predicts complex changes in limb forces across biomechanical contexts.Learning with slight forgetting optimizes sensorimotor transformation in redundant motor systems.The cost of moving optimally: kinematic path selectionOptimality principles in sensorimotor control.Neuromechanics of muscle synergies for posture and movementEffort minimization and synergistic muscle recruitment for three-dimensional force generation.Motor costs and the coordination of the two arms.The mechanical actions of muscles predict the direction of muscle activation during postural perturbations in the cat hindlimb.The coordination of movement: optimal feedback control and beyond.Risk-sensitivity in sensorimotor controlOptimal feedback control and the long-latency stretch response.Control of reaching movements by muscle synergy combinations.Changes in wrist muscle activity with forearm posture: implications for the study of sensorimotor transformations.Adaptive neuron-to-EMG decoder training for FES neuroprostheses.A computational model for optimal muscle activity considering muscle viscoelasticity in wrist movements.Sensorimotor transformation via sparse coding.Empirical Evaluation of Voluntarily Activatable Muscle Synergies.Computing reaching dynamics in motor cortex with Cartesian spatial coordinatesContext-dependent memory decay is evidence of effort minimization in motor learning: a computational studyAre muscle synergies useful for neural control?Analytical and numerical analysis of inverse optimization problems: conditions of uniqueness and computational methods.Finding minimal action sequences with a simple evaluation of actions.Cortical involvement in the recruitment of wrist muscles.Nonuniform distribution of reach-related and torque-related activity in upper arm muscles and neurons of primary motor cortex.A dual process account of coarticulation in motor skill acquisition.Optimal control of redundant muscles in step-tracking wrist movements.Using noise to shape motor learning.Virtual biomechanics: a new method for online reconstruction of force from EMG recordings.Constraints on neural redundancy
P2860
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P2860
A computational model of muscle recruitment for wrist movements.
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
@zh
2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
2002年學術文章
@zh-hant
name
A computational model of muscle recruitment for wrist movements.
@en
A computational model of muscle recruitment for wrist movements.
@nl
type
label
A computational model of muscle recruitment for wrist movements.
@en
A computational model of muscle recruitment for wrist movements.
@nl
prefLabel
A computational model of muscle recruitment for wrist movements.
@en
A computational model of muscle recruitment for wrist movements.
@nl
P2093
P2860
P356
P1476
A computational model of muscle recruitment for wrist movements.
@en
P2093
Andrew G Barto
Andrew H Fagg
Ashvin Shah
P2860
P304
P356
10.1152/JN.00621.2002
P407
P577
2002-12-01T00:00:00Z