The role of the striatum in aversive learning and aversive prediction errors
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Neuroeconomic studies of decision making have emphasized reward learning as critical in the representation of value-driven choice behaviour. However, it is readily apparent that punishment and aversive learning are also significant factors in motivating decisions and actions. In this paper, we review the role of the striatum and amygdala in affective learning and the coding of aversive prediction errors (PEs). We present neuroimaging results showing aversive PE-related signals in the striatum in fear conditioning paradigms with both primary (shock) and secondary (monetary loss) reinforcers. These results and others point to the general role for the striatum in coding PEs across a broad range of learning paradigms and reinforcer types.
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DA systems affect not only reward processing, but also punishment, decision-making, cognition, reward prediction, and reward valuation.
“Furthermore, it is clear that these DA systems affect not only reward processing, but a number of related functions, including punishment [24], decision-making [25,26], cognition [27], reward prediction [28,29], and reward valuation [30-32].”
From Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings (2012) · cites this paper as [24]
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- Authors
- Delgado, M. R., Li, J., Schiller, D., & Phelps, E. A.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- New York University (US)
- Corresponding author
- Phelps, Elizabeth A
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2008-10
- Volume
- 363
- Issue
- 1511
- Pages
- 3787-3800
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- PMC
- PMC2607367
- OpenAlex
- W2167551262
- Cited by
- 328
- References
- 166
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 10 · 2023: 9 · 2022: 7 · 2021: 14 · 2020: 46 · 2019: 11 · 2018: 17 · 2017: 11 · 2016: 30 · 2015: 18 · 2014: 27 · 2013: 24 · 2012: 30
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- James S. McDonnell Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- striatum, aversive learning, amygdala, fear conditioning, punishment, affective learning, reward learning, decision-making, financial losses, shock, reinforcement learning
- MeSH terms
- Affect, Animals, Corpus Striatum, Decision Making, Humans, Learning, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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