Movement planning with probabilistic target information.
about
Very slow search and reach: failure to maximize expected gain in an eye-hand coordination taskLearning and inference using complex generative models in a spatial localization task.Optimal compensation for temporal uncertainty in movement planning.The Intersection between Ocular and Manual Motor Control: Eye-Hand Coordination in Acquired Brain InjuryCompensation for changing motor uncertainty.On the origins of suboptimality in human probabilistic inferenceSpeeded reaching movements around invisible obstacles.Hedging your bets: intermediate movements as optimal behavior in the context of an incomplete decision.Embodied choice: how action influences perceptual decision making.A biologically plausible computational theory for value integration and action selection in decisions with competing alternatives.Structure Learning in Bayesian Sensorimotor Integration.Dynamic Integration of Value Information into a Common Probability Currency as a Theory for Flexible Decision MakingThe sequential encoding of competing action goals involves dynamic restructuring of motor plans in working memory.Effect on movement selection of an evolving sensory representation: a multiple controller model of skill acquisition.Adaptation to sensory-motor reflex perturbations is blind to the source of errorsEye Control Deficits Coupled to Hand Control Deficits: Eye-Hand Incoordination in Chronic Cerebral Injury.Grip force when reaching with target uncertainty provides evidence for motor optimization over averaging.Motor planning flexibly optimizes performance under uncertainty about task goals.Learning priors for Bayesian computations in the nervous system.Three-dimensional reach trajectories as a probe of real-time decision-making between multiple competing targets.Action history influences subsequent movement via two distinct processes.Rapid Automatic Motor Encoding of Competing Reach Options.Parallel specification of competing sensorimotor control policies for alternative action options.Occam's Razor in sensorimotor learning.Decision-making in sensorimotor controlComplex Upper-Limb Movements Are Generated by Combining Motor Primitives that Scale with the Movement Size
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P2860
Movement planning with probabilistic target information.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 26 September 2007
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Movement planning with probabilistic target information.
@en
Movement planning with probabilistic target information.
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type
label
Movement planning with probabilistic target information.
@en
Movement planning with probabilistic target information.
@nl
prefLabel
Movement planning with probabilistic target information.
@en
Movement planning with probabilistic target information.
@nl
P2860
P356
P1476
Movement planning with probabilistic target information.
@en
P2093
Michael S Landy
Todd E Hudson
P2860
P304
P356
10.1152/JN.00858.2007
P407
P577
2007-09-26T00:00:00Z