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Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control

Nakahira, Yorie and Liu, Quanying and Sejnowski, Terrence J. and Doyle, John C. (2019) Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control. . (Unpublished)

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Human sensorimotor control exhibits remarkable speed and accuracy, as celebrated in Fitts' law for reaching. Much less studied is how this is possible despite being implemented by neurons and muscle components with severe speed-accuracy tradeoffs (SATs). Here we develop a theory that connects the SATs at the system and hardware levels, and use it to explain Fitts' law for reaching and related laws. These results show that diversity between hardware components can be exploited to achieve both fast and accurate control performance using slow or inaccurate hardware. Such “diversity sweet spots'' (DSSs) are ubiquitous in biology and technology, and explain why large heterogeneities exist in biological and technical components and how both engineers and natural selection routinely evolve fast and accurate systems from imperfect hardware.

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper
Nakahira, Yorie0000-0003-3324-4602
Liu, Quanying0000-0002-2501-7656
Sejnowski, Terrence J.0000-0002-0622-7391
Doyle, John C.0000-0002-1828-2486
Additional Information:This research was supported by National Science Foundation (ncs-fo 1735004 and 1735003). Q.L. was supported by a Boswell fellowship and a FWO postdoctoral fellowship (12P6719N LV).
Funding AgencyGrant Number
James G. Boswell FoundationUNSPECIFIED
Fonds voor Wetenschappelijk Onderzoek (FWO)12P6719N
Record Number:CaltechAUTHORS:20190618-151810576
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96505
Deposited By: Tony Diaz
Deposited On:18 Jun 2019 22:25
Last Modified:03 Oct 2019 21:22

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