Neuronal signals for reward risk in frontal cortex

W. Schultz, M. O'Neill, P.N. Tobler, S. Kobayashi

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Rewards can be viewed as probability distributions of reward values. Besides expected (mean) value, a key parameter of such distributions is variance (or standard deviation), which constitutes a measure of risk. Single neurons in orbitofrontal cortex signal risk mostly separately from value. Comparable risk signals in human frontal cortex reflect risk attitudes of individual participants. Subjective outcome value constitutes the primary economic decision variable. The terms risk avoidance and risk taking suggest that risk affects subjective outcome value, a basic tenet of economic decision theories. Correspondingly, risk reduces neuronal value signals in frontal cortex of human risk avoiders and enhances value signals in risk takers. Behavioral contrast effects and reference-dependent valuation demonstrate flexible reward valuation. As a potential correlate, value signals in orbitofrontal neurons adjust reward discrimination to variance (risk). These neurophysiological mechanisms of reward risk on economic decisions inform and validate theories of economic decision making under uncertainty.
Original languageEnglish
Pages (from-to)109-117
JournalAnnals of the New York Academy of Sciences
Volume1239
Issue number1
DOIs
Publication statusPublished - 2011

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Economics
Neurons
Reward
Cortex
Decision theory
Probability distributions
Decision making
Neuron
Decision Making
Risk Taking
Decision Theory
Uncertainty
Tenets
Deviation
Avoidance
Discrimination
Discrimination (Psychology)

Cite this

Schultz, W. ; O'Neill, M. ; Tobler, P.N. ; Kobayashi, S. / Neuronal signals for reward risk in frontal cortex. In: Annals of the New York Academy of Sciences. 2011 ; Vol. 1239, No. 1. pp. 109-117.
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Neuronal signals for reward risk in frontal cortex. / Schultz, W.; O'Neill, M.; Tobler, P.N.; Kobayashi, S.

In: Annals of the New York Academy of Sciences, Vol. 1239, No. 1, 2011, p. 109-117.

Research output: Contribution to journalArticleScientificpeer-review

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