Abstract

Adaptation to novel dynamics requires learning a motor memory, or a new pattern of predictive feedforward motor commands. Recently, we demonstrated the upregulation of rapid visuomotor feedback gains early in curl force field learning, which decrease once a predictive motor memory is learned. However, even after learning is complete, these feedback gains are higher than those observed in the null field trials. Interestingly, these upregulated feedback gains in the curl field were not observed in a constant force field. Therefore, we suggest that adaptation also involves selectively tuning the feedback sensitivity of the sensorimotor control system to the environment. Here, we test this hypothesis by measuring the rapid visuomotor feedback gains after subjects adapt to a variety of novel dynamics generated by a robotic manipulandum in three experiments. To probe the feedback gains, we measured the magnitude of the motor response to rapid shifts in the visual location of the hand during reaching. While the feedback gain magnitude remained similar over a larger than a fourfold increase in constant background load, the feedback gains scaled with increasing lateral resistance and increasing instability. The third experiment demonstrated that the feedback gains could also be independently tuned to perturbations to the left and right, depending on the lateral resistance, demonstrating the fractionation of feedback gains to environmental dynamics. Our results show that the sensorimotor control system regulates the gain of the feedback system as part of the adaptation process to novel dynamics, appropriately tuning them to the environment.NEW & NOTEWORTHY Here, we test whether rapid visuomotor feedback responses are selectively tuned to the task dynamics. The responses do not exhibit gain scaling, but they do vary with the level and stability of task dynamics. Moreover, these feedback gains are independently tuned to perturbations to the left and right, depending on these dynamics. Our results demonstrate that the sensorimotor control system regulates the feedback gain as part of the adaptation process, tuning them appropriately to the environment.

Highlights

  • Force Conditions [N]Visuomotor Response Magnitude [N]Change in X-axis Force [N] ETime from Onset of Perturbation [ms]

  • The adaptation of rapid visuomotor feedback gains to temporal changes in the environmental dynamics was examined during reaching movements

  • The feedback gains varied as the lateral component alone changed, increasing in a laterally unstable field, while decreasing when stability and lateral accuracy were guaranteed. These results suggested that the rapid visuomotor feedback gains adapt to the environment as part of the learning process

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Summary

Introduction

Force Conditions [N]Visuomotor Response Magnitude [N]Change in X-axis Force [N] ETime from Onset of Perturbation [ms]. As the resistive viscosity increased, the feedback response on the probe trials increased (Fig. 6A, light to dark blue) The magnitude of these responses was examined over the two intervals using an ANOVA with main effect of force field and random effect of subjects. The post hoc comparisons indicated that the feedback responses were significantly different for the Ϫ15 N·mϪ1·s field compared with both the Ϫ30 (P ϭ 0.046) and Ϫ45 N·mϪ1·s (P ϭ 0.009) fields, but there was no significant difference between the two highest force fields (P ϭ 0.64) during the early interval (Fig. 6B) This effect was maintained in the late interval, with significant differences between the Ϫ15 N·mϪ1·s field and the Ϫ30 (P ϭ 0.011) and Ϫ45 N·mϪ1·s (P ϭ 0.011) fields, and no difference As the resistive force field increased in strength, the visuomotor response gain increased

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