Predictive coding of the statistical parameters of uncertain rewards by orbitofrontal neurons.
Accepted version
Peer-reviewed
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Repository DOI
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Authors
O'Neill, Martin
Schultz, Wolfram https://orcid.org/0000-0002-8530-4518
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
1872-7549
Volume Title
355
Publisher
Elsevier BV
Publisher DOI
Sponsorship
Medical Research Council (G1000183)
Medical Research Council (G0001354)
Wellcome Trust (204811/Z/16/Z)
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.