4.4 Article

Saccade vigor and the subjective economic value of visual stimuli

期刊

JOURNAL OF NEUROPHYSIOLOGY
卷 123, 期 6, 页码 2161-2172

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00700.2019

关键词

decision making; motor control; subjective value; vigor

资金

  1. NIH [5-R01-NS078311, 1-R01-NS096083]
  2. Office of Naval Research [N00014-15-1-2312]
  3. National Science Foundation [CNS-1714623]

向作者/读者索取更多资源

Decisions are made based on the subjective value that the brain assigns to options. However. subjective value is a mathematical construct that cannot be measured directly, but rather is inferred from choices. Recent results have demonstrated that reaction time, amplitude, and velocity of movements are modulated by reward, raising the possibility that there is a link between how the brain evaluates an option and how it controls movements toward that option. Here, we asked people to choose among risky options represented by abstract stimuli, some associated with gain (points in a game), and others with loss. From their choices we estimated the subjective value that they assigned to each stimulus. In probe trials, a single stimulus appeared at center, instructing subjects to make a saccade to a peripheral target. We found that the reaction time, peak velocity, and amplitude of the peripherally directed saccade varied roughly linearly with the subjective value that the participant had assigned to the central stimulus: reaction time was shorter, velocity was higher, and amplitude was larger for stimuli that the participant valued more. Naturally, participants differed in how much they valued a given stimulus. Remarkably. those who valued a stimulus more, as evidenced by their choices in decision trials, tended to move with shorter reaction time and greater velocity in response to that stimulus in probe trials. Overall, the reaction time of the saccade in response to a stimulus partly predicted the subjective value that the brain assigned to that stimulus. NEW & NOTEWORTHY Behavioral economics relies on subjective evaluation, an abstract quantity that cannot be measured directly but must be inferred by fitting decision models to the choice patterns. Here, we present a new approach to estimate subjective value: with nothing to fit, we show that it is possible to estimate subjective value based on movement kinematics, providing a modest ability to predict a participant's preferences without prior measurement of their choice patterns.

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