Document Type
Article
Publication Date
9-4-2024
Abstract
The accurate estimation of limb state is necessary for movement planning and execution. While state estimation requires both feedforward and feedback information, we focus here on the latter. Prior literature has shown that integrating visual and proprioceptive feedback improves estimates of static limb position. However, differences in visual and proprioceptive feedback delays suggest that multisensory integration could be disadvantageous when the limb is moving. We formalized this hypothesis by modeling feedback-based state estimation using the long-standing maximum likelihood estimation model of multisensory integration, which we updated to account for sensory delays. Our model predicted that the benefit of multisensory integration was largely lost when the limb was passively moving. We tested this hypothesis in a series of experiments in human subjects that compared the degree of interference created by discrepant visual or proprioceptive feedback when estimating limb position either statically at the end of the movement or dynamically at movement midpoint. In the static case, we observed significant interference: discrepant feedback in one modality systematically biased sensory estimates based on the other modality. However, no interference was seen in the dynamic case: participants could ignore sensory feedback from one modality and accurately reproduce the motion indicated by the other modality. Together, these findings suggest that the sensory feedback used to compute a state estimate differs depending on whether the limb is stationary or moving. While the former may tend toward multimodal integration, the latter is more likely to be based on feedback from a single sensory modality.
Recommended Citation
Wong, Aaron; Eyssalenne, Alyssa; Carter, Luke; and Therrien, Amanda S, "Different Sensory Information Is Used for State Estimation when Stationary or Moving." (2024). Moss-Magee Rehabilitation Papers. Paper 15.
https://jdc.jefferson.edu/mossrehabfp/15
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Language
English
Comments
This article is the author's final published version in eNeuro, September 2024, 2024, Article number ENEURO.0357-23.2024.
The published version is available at https://doi.org/10.1523/ENEURO.0357-23.2024.
Copyright © 2024 Wong et al.