The dopaminergic midbrain encodes the expected certainty about desired outcomes
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Dopamine plays a key role in learning; however, its exact function in decision making and choice remains unclear. Recently, we proposed a generic model based on active (Bayesian) inference wherein dopamine encodes the precision of beliefs about optimal policies. Put simply, dopamine discharges reflect the confidence that a chosen policy will lead to desired outcomes. We designed a novel task to test this hypothesis, where subjects played a "limited offer" game in a functional magnetic resonance imaging experiment. Subjects had to decide how long to wait for a high offer before accepting a low offer, with the risk of losing everything if they waited too long. Bayesian model comparison showed that behavior strongly supported active inference, based on surprise minimization, over classical utility maximization schemes. Furthermore, midbrain activity, encompassing dopamine projection neurons, was accurately predicted by trial-by-trial variations in model-based estimates of precision. Our findings demonstrate that human subjects infer both optimal policies and the precision of those inferences, and thus support the notion that humans perform hierarchical probabilistic Bayesian inference. In other words, subjects have to infer both what they should do as well as how confident they are in their choices, where confidence may be encoded by dopaminergic firing.
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This approach has been used to identify links between activity in neuromodulatory nuclei and computational trajectories, such as precision-weighted prediction errors or uncertainty.
“This approach has been used, for example, to identify links between activity in neuromodulatory nuclei and computational trajectories, such as (precision-weighted) prediction errors or uncertainty (111, 115–117).”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [117]
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Self-citation
- Authors
- Schwartenbeck, P., FitzGerald, T. H. B., Mathys, C., Dolan, R., & Friston, K.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Schwartenbeck, Philipp
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-07-23
- Volume
- 25
- Issue
- 10
- Pages
- 3434-3445
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC4585497
- OpenAlex
- W2128918015
- Cited by
- 219
- References
- 80
- Citations by year
- 2026: 20 · 2025: 19 · 2024: 13 · 2023: 19 · 2022: 26 · 2021: 19 · 2020: 26 · 2019: 15 · 2018: 20 · 2017: 12 · 2016: 17 · 2015: 10 · 2014: 3
- FWCI
- 7.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Cerebral Cortex (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- SDL (submittedVersion, cc-by)
- UEA Digital Repository (University of East Anglia) (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Wellcome Trust (091593, 091593/Z/10/, 098362, 098362/Z/12/Z, 091593/Z/10/Z, 088130, 098362/Z/12/)
- University College London (098362/Z/12/Z)
- Max-Planck-Gesellschaft (098362/Z/12/Z)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- dopamine, midbrain, Bayesian inference, active inference, decision-making, surprise minimization, utility maximization, hierarchical Bayesian inference
- MeSH terms
- Adult, Bayes Theorem, Brain Mapping, Cerebral Cortex, Choice Behavior, Conflict, Psychological, Dopamine, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Risk, Substantia Nigra, Ventral Tegmental Area, Young Adult
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