Multiple processes independently predict motor learning

Multiple motor learning experiences enhance motor adaptability.

Traditional motor learning theory emphasizes that skill learning is specific to the context and task performed. Recent data suggest, however, that subjects exposed to a variety of motor learning paradigms may be able to acquire general, transferable knowledge about skill learning processes. I tested this idea by having subjects learn five different motor tasks, three that were similar to each o...

Gaussian Processes Multiple Instance Learning

This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of learning kernel parameters, and (ii) a probabilistic interpretation (e.g., variance in prediction) that is informative for better understanding of the MIL prediction problem. The bag labeling protocol of the MIL problem, ...

Motor learning processes: an electrophysiologic perspective.

The goal of the present study was to investigate electrophysiologic, qEEG, changes when individuals were exposed to a motor task. Subjects brain electrical activity was analyzed before and after the typewriting training task. For the neurophysiological variable asymmetry, a paired t-test was performed to compare each moment, pre and post-task, in the beta bands. The findings showed a change for...

Implicit and Explicit Processes in Motor Learning

Multiple Motor Learning Strategies in Visuomotor Rotation

BACKGROUND When exposed to a continuous directional discrepancy between movements of a visible hand cursor and the actual hand (visuomotor rotation), subjects adapt their reaching movements so that the cursor is brought to the target. Abrupt removal of the discrepancy after training induces reaching error in the direction opposite to the original discrepancy, which is called an aftereffect. Pre...