Task-relevant object shape properties act as poor but viable cues for the attribution of motor errors to external objects
Modchalingam, S.; Ayala, M. N.; Henriques, D. Y. P.
Show abstract
When a context change is detected during motor learning, motor memories - internal models for executing movements within some context - may be created or existing motor memories may be activated and modified. Assigning credit to plausible causes of errors can allow for fast retrieval and activation of a motor memory, or a combination of motor memories, when the presence of such causes is detected. Features of the movement-context intrinsic to the movement dynamics, such as posture of the end effector, are often effective cues for detecting context change whereas features extrinsic to the movement dynamics, such as the colour of an object being moved, are often not. These extrinsic cues are typically not relevant to the motor task at hand and can be safely ignored by the motor system. We conducted two experiments testing if extrinsic but task-relevant object-shape cues during an object- transport task can act as viable contextual cues for error assignment to the object, and the creation of new, object-shape-associated motor memories. In the first experiment we find that despite the object- shape cues, errors are primarily attributed to the hand transporting the object. In a second experiment, we find that although participants can execute differing movements cued by the object shape in a dual adaptation task, they primarily use explicit strategies to do so.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Asymmetry in kinematic generalisation between visual and passive lead-in movements are consistent with a forward model in the sensorimotor system 96%
- Evidence for an efferent-based prediction contributing to implicit motor adaptation 95%
- Motor Learning Without Moving: Proprioceptive and Predictive Hand Localization After Passive Visuoproprioceptive Discrepancy Training 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.