Risk-sensitive optimal feedback control accounts for sensorimotor behavior under uncertainty.

PLoS Computational Biology
Arne J NagengastDaniel M Wolpert

Abstract

Many aspects of human motor behavior can be understood using optimality principles such as optimal feedback control. However, these proposed optimal control models are risk-neutral; that is, they are indifferent to the variability of the movement cost. Here, we propose the use of a risk-sensitive optimal controller that incorporates movement cost variance either as an added cost (risk-averse controller) or as an added value (risk-seeking controller) to model human motor behavior in the face of uncertainty. We use a sensorimotor task to test the hypothesis that subjects are risk-sensitive. Subjects controlled a virtual ball undergoing Brownian motion towards a target. Subjects were required to minimize an explicit cost, in points, that was a combination of the final positional error of the ball and the integrated control cost. By testing subjects on different levels of Brownian motion noise and relative weighting of the position and control cost, we could distinguish between risk-sensitive and risk-neutral control. We show that subjects change their movement strategy pessimistically in the face of increased uncertainty in accord with the predictions of a risk-averse optimal controller. Our results suggest that risk-sensitivity i...Continue Reading

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Citations

Apr 9, 2014·Neural Computation·Yun ShenKlaus Obermayer
Mar 25, 2011·Journal of Neurophysiology·Arne J NagengastDaniel M Wolpert
Oct 4, 2011·PLoS Computational Biology·Dagmar SternadHermann Müller
Oct 3, 2012·PLoS Computational Biology·Jordi Grau-MoyaDaniel A Braun
Oct 12, 2012·PLoS Computational Biology·Lionel Rigoux, Emmanuel Guigon
Jun 13, 2012·Attention, Perception & Psychophysics·Jérémy Bourgeois, Yann Coello
Jan 7, 2011·Proceedings. Biological Sciences·Arne J NagengastDaniel M Wolpert
Oct 29, 2015·Exercise and Sport Sciences Reviews·Megan K O'Brien, Alaa A Ahmed
Jun 22, 2011·Current Opinion in Neurobiology·Gergo Orbán, Daniel M Wolpert
Feb 18, 2014·PloS One·Daiki NasuKoji Kadota
Aug 16, 2013·Journal of the Royal Society, Interface·J Grau-MoyaD A Braun
Jul 27, 2011·Proceedings of the National Academy of Sciences of the United States of America·John C Doyle, Marie Csete
Dec 31, 2016·Attention, Perception & Psychophysics·Leif TrampenauJohann Kuhtz-Buschbeck
Jul 12, 2012·Nature Reviews. Neuroscience·Dominik R Bach, Raymond J Dolan
Oct 29, 2011·Nature Reviews. Neuroscience·Daniel M WolpertJ Randall Flanagan
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Mar 23, 2017·Frontiers in Aging Neuroscience·Carly J SombricGelsy Torres-Oviedo
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Jan 18, 2013·Journal of Neurophysiology·Megan K O'Brien, Alaa A Ahmed
Jun 3, 2017·Journal of Computational Neuroscience·Yuki Ueyama
Jul 14, 2020·Frontiers in Neuroscience·Jonathon W Sensinger, Strahinja Dosen
Jan 28, 2017·PloS One·Luigi AcerbiDaniel M Wolpert
Jan 24, 2020·Scientific Reports·Keiji OtaKen Takiyama
Mar 19, 2021·Frontiers in Sports and Active Living·Mamoru TanaeKen Takiyama
Oct 7, 2021·Journal of Neurophysiology·Pierre-Michel BernierFrederic R Danion

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