Evidence map›Paper›PMID 29084949›Full record

ArticleNature communications2017

Optimal coding and neuronal adaptation in economic decisions.

Aldo Rustichini, Katherine E Conen, Xinying Cai, Camillo Padoa-Schioppa

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Neuronal Activity in Orbitofrontal Cortex during Trinary Choices under Risk.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Is the Whole the Sum of its Parts? Neural Computation of Consumer Bundle Valuation in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Social inequity disrupts reward-based learning.Communications psychology · 2025
    Article
  7. Article
  8. eLife · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  19. Review
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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

4 authors.

Aldo RustichiniDepartment of Economics, University of Minnesota, 1925 4th Street South 4-101, Minneapolis, MN, 55455, USA.
Katherine E ConenDepartment of Neuroscience, Washington University in St Louis, 660 South Euclid Avenue, St Louis, MO, 63110, USA.
Xinying CaiDepartment of Neuroscience, Washington University in St Louis, 660 South Euclid Avenue, St Louis, MO, 63110, USA.
Camillo Padoa-SchioppaDepartment of Neuroscience, Washington University in St Louis, 660 South Euclid Avenue, St Louis, MO, 63110, USA. camillo@wustl.edu.ORCID http://orcid.org/0000-0002-7519-8790

Funding

Systems and Molecular Neurobiology Training ProgramT32GM008151 · NIGMS · WASHINGTON UNIVERSITY · PI SNYDER, LAWRENCE H · 1985 to 2019
$6.5M
THE ROLE OF PREFRONTAL REGIONS IN ECONOMIC CHOICE AND CHOICE-GUIDED BEHAVIORR01DA032758 · NIDA · WASHINGTON UNIVERSITY · PI Camillo Padoa-Schioppa · 2012 to 2026
$5.4M
NEURONAL MECHANISMS OF GOOD-BASED ECONOMIC DECISIONSR01MH104494 · NIMH · WASHINGTON UNIVERSITY · PI PADOA-SCHIOPPA, CAMILLO · 2015 to 2025
$4.2M
Analyzing contextual adaptation in value-encoding neurons during economic choice.F31MH107111 · NIMH · WASHINGTON UNIVERSITY · PI CONEN, KATHERINE E · 2015 to 2016
$60k
NIDA NIH HHS R01 DA032758NIGMS NIH HHS T32 GM008151NIMH NIH HHS F31 MH107111NIMH NIH HHS R01 MH104494
6 · The paper itself

Abstract

During economic decisions, offer value cells in orbitofrontal cortex (OFC) encode the values of offered goods. Furthermore, their tuning functions adapt to the range of values available in any given context. A fundamental and open question is whether range adaptation is behaviorally advantageous. Here we present a theory of optimal coding for economic decisions. We propose that the representation of offer values is optimal if it ensures maximal expected payoff. In this framework, we examine offer value cells in non-human primates. We show that their responses are quasi-linear even when optimal tuning functions are highly non-linear. Most importantly, we demonstrate that for linear tuning functions range adaptation maximizes the expected payoff. Thus value coding in OFC is functionally rigid (linear tuning) but parametrically plastic (range adaptation with optimal gain). Importantly, the benefit of range adaptation outweighs the cost of functional rigidity. While generally suboptimal, linear tuning may facilitate transitive choices.

Indexed as

Adaptation, PhysiologicalCosts and Cost AnalysisDecision MakingAnimalsChoice BehaviorFemaleMacaca mulattaMaleNeurons

Identifiers

PMID29084949
PMCPMC5662730

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.