Perceptual and motor learning underlies human stick-balancing skill.

scientific article published on 8 October 2014

Perceptual and motor learning underlies human stick-balancing skill. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1152/JN.00538.2013
P698PubMed publication ID25298388
P5875ResearchGate publication ID266682720

P50authorMark HalakiQ57016701
P2093author name stringRichard Smith
Nicholas O'Dwyer
Kwee-Yum Lee
P2860cites workThe information capacity of the human motor system in controlling the amplitude of movementQ30463892
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A new paradigm for human stick balancing: a suspended not an inverted pendulum.Q48439587
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Two modes of active eye-head coordination in monkeysQ48765874
Evidence for a specific internal representation of motion-force relationships during object manipulationQ49009266
Learning a stick-balancing task involves task-specific coupling between posture and hand displacementsQ49123950
Human stick balancing: an intermittent control explanation.Q51173461
Identifying coordinative structure using principal component analysis based on coherence derived from linear systems analysis.Q51235565
Multijoint error compensation mediates unstable object control.Q51779091
Does self-efficacy mediate transfer effects in the learning of easy and difficult motor skills?Q51791681
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Afferent input, efference copy, signal noise, and biases in perception of joint angle during active versus passive elbow movements.Q51910947
Dynamical structure of hand trajectories during pole balancing.Q51927824
Human stick balancing: tuning Lèvy flights to improve balance control.Q52087302
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P433issue1
P407language of work or nameEnglishQ1860
P304page(s)156-171
P577publication date2014-10-08
P1433published inJournal of NeurophysiologyQ1709863
P1476titlePerceptual and motor learning underlies human stick-balancing skill.
P478volume113

Reverse relations

cites work (P2860)
Q30782951Control at stability's edge minimizes energetic costs: expert stick balancing.
Q42378929Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics