Sentence examples for motor learning studies from inspiring English sources
Motor learning studies have shown that continued practice of a task results in more skilled control of movement, characterized by decreased amplitude and duration of muscle activity, decreased muscle co-activation and less variability of movement [97,184,185].
Whereas the ionotropic quick acting component has been assumed to mediate many varieties of motor learning, studies of the contribution of the mGluR-mediated slow component to motor execution are relatively recent [18], [26].
Two important variables that were addressed in motor learning studies are limb velocity and the decision regarding the responding limb [ 28, 29].
In fact, motor learning studies have long been aware of the cerebellum's oscillatory role in skill acquisition, such as bimanual ability [ 13– 15].
Although tDCS has been shown to improve motor learning, previous studies reported rather small effects.
Still, to exploit any potential effects of SES on motor learning, future studies could explore if SES applied as sensory priming before MP could potentiate learning.
Despite the considerable evidence that climbing fiber activity provides error signals controlling motor learning, several studies have called this idea into question.
In the force-field context, motor learning is studied under high spatio-temporal constraints and external forces which were not imposed in the present work.
In a motor sequence learning study, Tamás Kincses et al. [14] demonstrated that some of the rest-related components correlate significantly with behavioral improvement during the course of learning.
Before the start of the study, 12 hours training for the therapists was accomplished involving principles of the study, attitudes towards the participants, the role of motor learning theory in the study and training in the treatment programs.
For example, to study haptics one might want to create arbitrary physical objects for tactile exploration, whereas to study motor learning one might want to generate physical objects that have novel dynamical properties and change these properties in real time.
