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[PDF][PDF] Motor learning
Motor learning encompasses a wide range of phenomena, ranging from relatively low-level
mechanisms for maintaining calibration of our movements, to making high-level cognitive …
mechanisms for maintaining calibration of our movements, to making high-level cognitive …
It's not (only) the mean that matters: variability, noise and exploration in skill learning
D Sternad - Current opinion in behavioral sciences, 2018 - Elsevier
Highlights•Analysis of variability provides information about control priorities.•Variability
comprises a multitude of processes that contribute to skill improvement.•Stages of learning …
comprises a multitude of processes that contribute to skill improvement.•Stages of learning …
How is a motor skill learned? Change and invariance at the levels of task success and trajectory control
The public pays large sums of money to watch skilled motor performance. Notably, however,
in recent decades motor skill learning (performance improvement beyond baseline levels) …
in recent decades motor skill learning (performance improvement beyond baseline levels) …
The relationship between habits and motor skills in humans
How do habit and skill relate to one another? Among many traditions of habit research, we
suggest that'slip-of-action'habits are the type most likely to relate to motor skill. Habits are …
suggest that'slip-of-action'habits are the type most likely to relate to motor skill. Habits are …
[HTML][HTML] Structure learning in action
'Learning to learn'phenomena have been widely investigated in cognition, perception and
more recently also in action. During concept learning tasks, for example, it has been …
more recently also in action. During concept learning tasks, for example, it has been …
Variability in motor learning: relocating, channeling and reducing noise
Variability in motor performance decreases with practice but is never entirely eliminated, due
in part to inherent motor noise. The present study develops a method that quantifies how …
in part to inherent motor noise. The present study develops a method that quantifies how …
Adaptation and robust learning of probabilistic movement primitives
Probabilistic representations of movement primitives open important new possibilities for
machine learning in robotics. These representations are able to capture the variability of the …
machine learning in robotics. These representations are able to capture the variability of the …
Long-term motor learning in the “wild” with high volume video game data
Motor learning occurs over long periods of practice during which motor acuity, the ability to
execute actions more accurately, precisely, and in less time, improves. Laboratory-based …
execute actions more accurately, precisely, and in less time, improves. Laboratory-based …
Complex adaptive behavior and dexterous action
Dexterous action, as conceptualized by Bernstein in his influential ecological analysis of
human behavior, is revealed in the ability to flexibly generate behaviors that are adaptively …
human behavior, is revealed in the ability to flexibly generate behaviors that are adaptively …
Motor learning in stroke: trained patients are not equal to untrained patients with less impairment
Background and Objective: Stroke rehabilitation assumes motor learning contributes to
motor recovery, yet motor learning in stroke has received little systematic investigation. Here …
motor recovery, yet motor learning in stroke has received little systematic investigation. Here …