2013
DOI: 10.1162/jocn_a_00333
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A Match Made by Modafinil: Probability Matching in Choice Decisions and Spatial Attention

Abstract: When predicting where a target or reward will be, participants tend to choose each location commensurate with the true underlying probability (i.e., probability match). The strategy of probability matching involves independent sampling of high and low probability locations on separate trials. In contrast, models of probabilistic spatial attention hypothesize that on any given trial attention will either be weighted toward the high probability location or be distributed equally across all locations. Thus, the s… Show more

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Cited by 9 publications
(5 citation statements)
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“…For the first 200 trials, the stimulus was presented at one location 70% of the time; in the second 200 trials, the stimulus was presented in either location 50% of the time. Modafinil intake was found to improve the rate at which subjects learnt the spatial probabilities underlying their choices, again attributed to an enhancement of executive functions with more accurate orientation of attention as a corollary (Geng et al, 2013).…”
Section: Complex Tasksmentioning
confidence: 91%
“…For the first 200 trials, the stimulus was presented at one location 70% of the time; in the second 200 trials, the stimulus was presented in either location 50% of the time. Modafinil intake was found to improve the rate at which subjects learnt the spatial probabilities underlying their choices, again attributed to an enhancement of executive functions with more accurate orientation of attention as a corollary (Geng et al, 2013).…”
Section: Complex Tasksmentioning
confidence: 91%
“…These findings suggest that reward learning creates an unusually persistent change in attentional priority that is biased in favor of formerly reward associated features even when no longer predictive of reward. Moreover, this change in priority is highly resistant to extinction, similar to the persistent effects of spatial probabilities on attention (Geng et al, 2013;Jiang, Swallow, & Rosenbaum, 2013a;Jiang, Swallow, Rosenbaum, et al, 2013b).…”
Section: Can Guide Visualmentioning
confidence: 85%
“…These findings suggest that reward learning creates an unusually persistent change in attentional priority that is biased in favor of formerly reward associated features even when no longer PERSISTENCE OF VALUE-DRIVEN ATTENTION CAPTURE 6 predictive of reward. Moreover, this change in priority is highly resistant to extinction, similar to the persistent effects of spatial probabilities on attention (Geng et al, 2013;Jiang et al, 2013aJiang et al, , 2013b).…”
Section: Introductionmentioning
confidence: 82%