Evidence map›Paper›PMID 26302782›Full record

ArticleNature communications2015

Contextual modulation of value signals in reward and punishment learning.

Stefano Palminteri, Mehdi Khamassi, Mateus Joffily, Giorgio Coricelli

Abstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 2 pooled it
–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

141 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Building Goal-Directed Cognitive Graphs.bioRxiv : the preprint server for biology · 2026
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81 more citing papers are in PubMed but not listed here.

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.

Stefano PalminteriInstitute of Cognitive Neuroscience (ICN), University College London (UCL), London WC1N 3AR, UK.
Mehdi KhamassiInstintut des Systèmes Intelligents et Robotique (ISIR), Centre National de la Recherche Scientifique (CNRS) UMR 7222, Université Pierre et Marie Curie (UPMC), 70013 Paris, France.ORCID http://orcid.org/0000-0002-2515-1046
Mateus JoffilyInterdepartmental Centre for Mind/Brain Sciences (CIMeC), Università degli study di Trento, 38060 Trento, Italy.
Giorgio CoricelliLaboratoire de Neurosciences Cognitives (LNC), Département d'Etudes Cognitives (DEC), Institut National de la Santé et Recherche Médical (INSERM) U960, École Normale Supérieure (ENS), 75005 Paris, France.

Funding

European Research Council 617629
6 · The paper itself

Abstract

Compared with reward seeking, punishment avoidance learning is less clearly understood at both the computational and neurobiological levels. Here we demonstrate, using computational modelling and fMRI in humans, that learning option values in a relative--context-dependent--scale offers a simple computational solution for avoidance learning. The context (or state) value sets the reference point to which an outcome should be compared before updating the option value. Consequently, in contexts with an overall negative expected value, successful punishment avoidance acquires a positive value, thus reinforcing the response. As revealed by post-learning assessment of options values, contextual influences are enhanced when subjects are informed about the result of the forgone alternative (counterfactual information). This is mirrored at the neural level by a shift in negative outcome encoding from the anterior insula to the ventral striatum, suggesting that value contextualization also limits the need to mobilize an opponent punishment learning system.

Indexed as

PunishmentRewardAdultAvoidance LearningBayes TheoremBrainBrain MappingCerebral CortexComputer SimulationDecision MakingFemaleFunctional NeuroimagingHumansImage Processing, Computer-AssistedLearningMagnetic Resonance Imaging

Identifiers

PMID26302782
PMCPMC4560823

What OpenQuestion holds

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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.