Motor learning and transfer: from feedback to feedforward control

BioRxiv : the Preprint Server for Biology
Rodrigo S MaedaJ Andrew Pruszynski

Abstract

Previous work has demonstrated that when learning a new motor task, the nervous system modifies feedforward (ie. voluntary) motor commands and that such learning transfers to fast feedback (ie. reflex) responses evoked by mechanical perturbations. Here we show the inverse, that learning new feedback responses transfers to feedforward motor commands. Sixty human participants (34 females) used a robotic exoskeleton and either 1) received short duration mechanical perturbations (20 ms) that created pure elbow rotation or 2) generated self-initiated pure elbow rotations. They did so with the shoulder joint free to rotate (normal arm dynamics) or locked (altered arm dynamics) by the robotic manipulandum. With the shoulder unlocked, the perturbation evoked clear shoulder muscle activity in the long-latency stretch reflex epoch (50-100ms post-perturbation), as required for countering the imposed joint torques, but little muscle activity thereafter in the so-called voluntary response. After locking the shoulder joint, which alters the required joint torques to counter pure elbow rotation, we found a reliable reduction in the long-latency stretch reflex over many trials. This reduction transferred to feedforward control as we observed 1...Continue Reading

Related Concepts

Elbow
Reflex, Stretch
Shoulder
Joints
Rotational Test
Entire Glenohumeral Joint
Participant
Neural Stem Cells
Muscle
Direction

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Related Papers

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
Rodrigo S MaedaJ Andrew Pruszynski
BioRxiv : the Preprint Server for Biology
Rodrigo S MaedaJ Andrew Pruszynski
BioRxiv : the Preprint Server for Biology
Rodrigo S MaedaJ Andrew Pruszynski
© 2020 Meta ULC. All rights reserved