Contrasting action and posture coding with hierarchical deep neural network models of proprioception.

ABSTRACT: Biological motor control is versatile, efficient, and depends on proprioceptive feedback. Muscles are flexible and undergo continuous changes, requiring distributed adaptive control mechanisms that continuously account for the body's state. The canonical role of proprioception is representing the body state. We hypothesize that the proprioceptive system could also be critical for high-level tasks such as action recognition. To test this theory, we pursued a task-driven modeling approach, which allowed us to isolate the study of proprioception. We generated a large synthetic dataset of human arm trajectories tracing characters of the Latin alphabet in 3D space, together with muscle activities obtained from a musculoskeletal model and model-based muscle spindle activity. Next, we compared tw

SUBMITTER: Sandbrink KJ 

PROVIDER: S-EPMC10361732 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature