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Predictive coding of the statistical parameters of uncertain rewards by orbitofrontal neurons.

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

O'Neill, Martin 

Abstract

Uncertain reward outcomes are characterised by statistical parameters that capture the numerical values of the underlying probability distributions of reward values, including the expected value, risk (variance) and probability. Here we show coding of an integrated expected value signal by single orbitofrontal neurons in response to visual cues predicting uncertain rewards. Separate subpopulations of orbitofrontal neurons predominantly code the prediction of one statistical parameter with few neurons showing combined coding. These signals are likely combined with subjective value signals to inform learning and decision making under conditions of uncertainty.

Description

Keywords

Expected value, Orbitofrontal cortex, Reward, Reward probability, Risk, Value, Animals, Anticipation, Psychological, Cues, Macaca mulatta, Male, Models, Statistical, Neurons, Prefrontal Cortex, Reward, Saccades, Uncertainty, Visual Perception

Journal Title

Behav Brain Res

Conference Name

Journal ISSN

0166-4328
1872-7549

Volume Title

355

Publisher

Elsevier BV
Sponsorship
Medical Research Council (G1000183)
Medical Research Council (G0001354)
Wellcome Trust (204811/Z/16/Z)
This work was supported by the Wellcome Trust, the European Research Council, the Behavioural and Clinical Neuroscience Institute Cambridge, and the Human Frontier Science Program.