Abstract

Our decisions are guided by the rewards we expect. These expectations are often based on incomplete knowledge and are thus subject to uncertainty. While the neurophysiology of expected rewards is well understood, less is known about the physiology of uncertainty. We hypothesize that uncertainty, or more specifically errors in judging uncertainty, are reflected in pupil dilation, a marker that has frequently been associated with decision making, but so far has remained largely elusive to quantitative models. To test this hypothesis, we measure pupil dilation while observers perform an auditory gambling task. This task dissociates two key decision variables – uncertainty and reward – and their errors from each other and from the act of the decision itself. We first demonstrate that the pupil does not signal expected reward or uncertainty per se, but instead signals surprise, that is, errors in judging uncertainty. While this general finding is independent of the precise quantification of these decision variables, we then analyze this effect with respect to a specific mathematical model of uncertainty and surprise, namely risk and risk prediction error. Using this quantification, we find that pupil dilation and risk prediction error are indeed highly correlated. Under the assumption of a tight link between noradrenaline (NA) and pupil size under constant illumination, our data may be interpreted as empirical evidence for the hypothesis that NA plays a similar role for uncertainty as dopamine does for reward, namely the encoding of error signals.

Highlights

  • From simple motor tasks to complex financial transactions, decisions are at the core of human behavior

  • Pupil dilation serves as a cue in social interactions: wide pupils are commonly associated with attractiveness and enhance social valence judgment in others (Harrison et al, 2006)

  • We demonstrate that pupil dilation reflects surprise but not expected reward

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Summary

Introduction

From simple motor tasks to complex financial transactions, decisions are at the core of human behavior. This uncertainty affects behavior and learning in addition to the expectation itself. A full description of the decision making process requires – beyond measures of expected reward – robust markers of uncertainty and surprise. Gilzenrat et al (2010) as well as Jepma and Nieuwenhuis (2011) provided quantitative assessments of pupil dilation in the context of shifts between exploitation (task engagement) and exploration (disengagement). Out of the many studies that have considered the pupil in decision making, to the best of our knowledge, our study is the first that is designed explicitly to dissociate the contributions of distinct decision variables, here risk and reward and their errors, to the pupil response in a quantitative way

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