Identifying the control structure of multijoint coordination during pistol shooting

By John P. Scholz, Gregor Schöner, Mark L. Latash. Experimental Brain Research, 2000

373 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Pharmacology

View Paper: https://www.semanticscholar.org/paper/4e419147d2fa2e8d4a45bfdc4ef2b94d5b465b7d

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In Biomedical Engineering

In Cognitive Neuroscience

In Pharmacology

Citations in the corpus

Movement Systems as Dynamical Systems (2003, methodology): “This method was used to qualitatively analyse viewed as forming a complex system.[37] Higher intra- and inter-individual levels of performance levels of variability in the shoulder and elbow joints variability in athletes during complex sport actions.”
Motor Synergies and the Equilibrium-Point Hypothesis (2010, methodology): “This task, obviously, has an infinite number of solutions that may be illustrated on the force-force plane by a straight line (the slanted dashed line in Figure 2; this line is the UCM for this task).”
Motor Control Strategies Revealed in the Structure of Motor Variability (2002, background): “(13) Quick-draw shooting 3D, kinematic H1Sh - pistol orientation”
Optimal feedback control as a theory of motor coordination (2002, background): “More precisely, trial-to-trial fluctuations in individual degrees of freedom are on average larger than fluctuations in task-relevant movement parameters—motor variability is constrained to a redundant subspace (or 'uncontrolled manifold”
Optimal feedback control and the neural basis of volitional motor control (2004, background): “For example, fluctuations in joint configurations that influence the orientation of a subject pointing a laser at a spatial target are reduced, whereas patterns that do not influence laser orientation are more variabl”
Structure learning in action (2010, background): “ance is reduced in the degrees of freedom that interfere with task goals,whereas variability in task-irrelevant dimensions is tolerated as a redundancy [55,76–80].”
Toward a new theory of motor synergies. (2007, methodology): “One of the most exciting opportunities afforded by the UCM method is to analyze the same data set with respect to different performance variables, as if asking the system: “Are you a synergy stabilizing such-and-such performance variable?” This question has been referred to as a “control hypothesis””
Optimality principles in sensorimotor control (2004, background): “Such effects have been observed in a wide range of behavior”