2 citations · 3 across the 2 of their papers we have counts for
4 papers
Descending Predictive Feedback: From Optimal Control to the Sensorimotor System
Jing Shuang Li, Anish A. Sarma, John C. Doyle
Descending predictive feedback (DPF) is an ubiquitous yet unexplained phenomenon in the central nervous system. Motivated by recent observations on motor-related signals in the vis…
Robust Model-Free Learning and Control without Prior Knowledge
Dimitar Ho, John Doyle
We present a simple model-free control algorithm that is able to robustly learn and stabilize an unknown discrete-time linear system with full control and state feedback subject to…
Fitts' Law for speed-accuracy trade-off describes a diversity-enabled sweet spot in sensorimotor control
Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski +1
Human sensorimotor control exhibits remarkable speed and accuracy, and the tradeoff between them is encapsulated in Fitts' Law for reaching and pointing. While Fitts related this t…
WheelCon: A wheel control-based gaming platform for studying human sensorimotor control
Quanying Liu, Yorie Nakahira, Ahkeel Mohideen +5
Feedback control theory has been extensively implemented to theoretically model human sensorimotor control. However, experimental platforms capable of manipulating important compon…