Optimal reaching subject to computational and physical constraints reveals structure of the sensorimotor control system.

ABSTRACT: Optimal feedback control provides an abstract framework describing the architecture of the sensorimotor system without prescribing implementation details such as what coordinate system to use, how feedback is incorporated, or how to accommodate changing task complexity. We investigate how such details are determined by computational and physical constraints by creating a model of the upper limb sensorimotor system in which all connection weights between neurons, feedback, and muscles are unknown. By optimizing these parameters with respect to an objective function, we find that the model exhibits a preference for an intrinsic (joint angle) coordinate representation of inputs and feedback and learns to calculate a weighted feedforward and feedback error. We further show that complex reaches

SUBMITTER: Greene P 

PROVIDER: S-EPMC10998569 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature