Modularity for sensorimotor control: evidence and a new prediction.
about
Effective force control by muscle synergiesLearning modular policies for robotics.Optimization of muscle activity for task-level goals predicts complex changes in limb forces across biomechanical contexts.Robustness of muscle synergies during visuomotor adaptation.Effort minimization and synergistic muscle recruitment for three-dimensional force generation.Control of reaching movements by muscle synergy combinations.Feedback of mechanical effectiveness induces adaptations in motor modules during cyclingThe neural origin of muscle synergies.A computational analysis of motor synergies by dynamic response decomposition.Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems.Learned graphical models for probabilistic planning provide a new class of movement primitives.Muscle Synergies of Untrained Subjects during 6 min Maximal Rowing on Slides and Fixed Ergometer.Task constraints and minimization of muscle effort result in a small number of muscle synergies during gait.Muscle synergy extraction during arm reaching movements at different speeds.Superposition and modulation of muscle synergies for reaching in response to a change in target location.Space-by-Time Modular Decomposition Effectively Describes Whole-Body Muscle Activity During Upright Reaching in Various Directions.
P2860
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P2860
Modularity for sensorimotor control: evidence and a new prediction.
description
2010 nî lūn-bûn
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2010年の論文
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2010年学术文章
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2010年学术文章
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2010年学术文章
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name
Modularity for sensorimotor control: evidence and a new prediction.
@en
Modularity for sensorimotor control: evidence and a new prediction.
@nl
type
label
Modularity for sensorimotor control: evidence and a new prediction.
@en
Modularity for sensorimotor control: evidence and a new prediction.
@nl
prefLabel
Modularity for sensorimotor control: evidence and a new prediction.
@en
Modularity for sensorimotor control: evidence and a new prediction.
@nl
P2860
P1476
Modularity for sensorimotor control: evidence and a new prediction.
@en
P2093
Andrea d'Avella
Dinesh K Pai
P2860
P304
P356
10.1080/00222895.2010.526453
P577
2010-11-01T00:00:00Z