Internal sensory models allow for balance control using muscle spindle acceleration feedback

TL;DR

This paper demonstrates that internal sensory models utilizing muscle spindle acceleration feedback can effectively enable balance control, emphasizing the importance of correcting for reafferent signals in sensory feedback systems.

Contribution

It introduces a computational framework showing how internal sensory models can use muscle spindle acceleration feedback for balance control, accounting for reafferent correction.

Findings

Joint acceleration feedback suffices for balance control.

Correcting for reafferent signals improves feedback accuracy.

Simulations validate the model's effectiveness in realistic conditions.

Abstract

Motor control requires sensory feedback, and the nature of this feedback has implications for the tasks of the central nervous system (CNS): for an approximately linear mechanical system (e.g., a freely standing person, a rider on a bicycle), if the sensory feedback does not contain the state variables (i.e., joint position and velocity), then optimal control actions are based on an internal dynamical system that estimates these states from the available incomplete sensory feedback. Such a computational system can be implemented as a recurrent neural network (RNN), and it uses a sensory model to update the state estimates. This is highly relevant for muscle spindle primary afferents whose firing rates scale with acceleration: if fusimotor and skeletomotor control are perfectly coordinated, these firing rates scale with the exafferent joint acceleration component, and in the absence of fusimotor control, they scale with the total joint acceleration (exafferent plus reafferent). For both scenarios, a sensory model exists that expresses the exafferent joint acceleration as a function of the state variables, and for the second scenario, a sensory model exists that corrects for the reafferent joint acceleration. Simulations of standing and bicycle balance control under realistic conditions show that joint acceleration feedback is sufficient for balance control, but only if the reafferent acceleration component is either absent from the feedback or is corrected for in the computational system.