Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control.

ABSTRACT: Nervous systems sense, communicate, compute, and actuate movement using distributed components with severe trade-offs in speed, accuracy, sparsity, noise, and saturation. Nevertheless, brains achieve remarkably fast, accurate, and robust control performance due to a highly effective layered control architecture. Here, we introduce a driving task to study how a mountain biker mitigates the immediate disturbance of trail bumps and responds to changes in trail direction. We manipulated the time delays and accuracy of the control input from the wheel as a surrogate for manipulating the characteristics of neurons in the control loop. The observed speed-accuracy trade-offs motivated a theoretical framework consisting of two layers of control loops-a fast, but inaccurate, reflexive layer that cor

SUBMITTER: Nakahira Y 

PROVIDER: S-EPMC8179159 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature