Skip to main content
Advertisement

< Back to Article

Predicting explorative motor learning using decision-making and motor noise

Fig 5

Exploration and motor noise.

(A) How movement variance in the movements changes during the course of the learning process, compared with the variance observed in the motor noise task. (B) Learning rate and (C) maximal points achieved plotted against the variance observed in the motor noise task across participants (x-axis). Each dot represents one participant, indexed with the participant ID; Red crosses in (C) are the participants who failed to explore the curvature dimension (concentrated on straight movements with little curvature) and were identified as outliers. The least-squares line (blue dash line) is with the outliers removed.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1005503.g005