Evidence map›Paper›PMID 27101365›Full record

ArticleeLife2016

The modulation of savouring by prediction error and its effects on choice.

Kiyohito Iigaya, Giles W Story, Zeb Kurth-Nelson, Raymond J Dolan, Peter Dayan

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Addressing Altered Anticipation as a Transdiagnostic Target Through Computational Psychiatry.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Review
  6. Do goldfish like to be informed?Proceedings. Biological sciences · 2025
    Article
  7. Review
  8. Computational and Neural Evidence for Altered Fast and Slow Learning from Losses in Problem Gambling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  9. Article
  10. Temporal context effects on suboptimal choice.Psychonomic bulletin & review · 2024
    Article
  11. Individual differences in information demand have a low dimensional structure predicted by some curiosity traits.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Curiosity evolves as information unfolds.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kiyohito IigayaGatsby Computational Neuroscience Unit, University College London, London, United Kingdom.ORCID 0000-0002-4748-8432
Giles W StoryThe Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.
Zeb Kurth-NelsonThe Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.
Raymond J DolanThe Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.
Peter DayanGatsby Computational Neuroscience Unit, University College London, London, United Kingdom.ORCID 0000-0003-3476-1839

Funding

Wellcome Trust 091593Wellcome Trust 098362
6 · The paper itself

Abstract

When people anticipate uncertain future outcomes, they often prefer to know their fate in advance. Inspired by an idea in behavioral economics that the anticipation of rewards is itself attractive, we hypothesized that this preference of advance information arises because reward prediction errors carried by such information can boost the level of anticipation. We designed new empirical behavioral studies to test this proposal, and confirmed that subjects preferred advance reward information more strongly when they had to wait for rewards for a longer time. We formulated our proposal in a reinforcement-learning model, and we showed that our model could account for a wide range of existing neuronal and behavioral data, without appealing to ambiguous notions such as an explicit value for information. We suggest that such boosted anticipation significantly drives risk-seeking behaviors, most pertinently in gambling.

Indexed as

Anticipation, PsychologicalChoice BehaviorDecision MakingHumansRewardanticipationdecision-makinghumanneuroscienceprediction errorreinforcement-learningrewardrhesus macaque

Identifiers

PMID27101365
PMCPMC4866828

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.