ORCID

Abstract

Reinforcement learning models make use of reward prediction errors (RPEs), the difference between an expected and obtained reward. There is evidence that the brain computes RPEs, but an outstanding question is whether positive RPEs ("better than expected") and negative RPEs ("worse than expected") are represented in a single integrated system. An electrophysiological component, feedback related negativity, has been claimed to encode an RPE but its relative sensitivity to the utility of positive and negative RPEs remains unclear. This study explored the question by varying the utility of positive and negative RPEs in a design that controlled for other closely related properties of feedback and could distinguish utility from salience. It revealed a mediofrontal sensitivity to utility, for positive RPEs at 275-310ms and for negative RPEs at 310-390ms. These effects were preceded and succeeded by a response consistent with an unsigned prediction error, or "salience" coding.

DOI

10.1016/j.neuropsychologia.2014.06.004

Publication Date

2014-08-01

Publication Title

Neuropsychologia

Volume

61

ISSN

0028-3932

Embargo Period

2015-08-01

Organisational Unit

School of Psychology

Keywords

Dopamine, Event-related potential (ERP), Feedback related negativity (FRN), Reward prediction error (RPE), Saliency, Unsigned prediction error, Anticipation, Psychological, Brain, Electroencephalography, Evoked Potentials, Feedback, Female, Gambling, Humans, Male, Neuropsychological Tests, Reinforcement, Psychology

First Page

1

Last Page

10

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