Evidence map›Paper›PMID 36322560›Full record

ArticlePLoS computational biology2022

Training diversity promotes absolute-value-guided choice.

Levi Solomyak, Paul B Sharp, Eran Eldar

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Emotions as computations.Neuroscience and biobehavioral reviews · 2023
    Review
  3. 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

3 authors.

Levi SolomyakThe Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0003-2933-607X
Paul B SharpThe Hebrew University of Jerusalem, Jerusalem, Israel.
Eran EldarThe Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0001-8988-6124

Funding

Neurocomputational studies of mood-related momentum dynamics linking reward learning, valuation and responsivityR01MH124092 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOMBROVSKI, ALEXANDRE Y., ELDAR, ERAN PLAYFAIR · 2020 to 2024
$5.3M
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent PsychopathologyR01MH125564 · NIMH · PRINCETON UNIVERSITY · PI NIV, YAEL · 2020 to 2024
$1.3M
NIMH NIH HHS R01 MH124092NIMH NIH HHS R01 MH125564
6 · The paper itself

Abstract

Many decision-making studies have demonstrated that humans learn either expected values or relative preferences among choice options, yet little is known about what environmental conditions promote one strategy over the other. Here, we test the novel hypothesis that humans adapt the degree to which they form absolute values to the diversity of the learning environment. Since absolute values generalize better to new sets of options, we predicted that the more options a person learns about the more likely they would be to form absolute values. To test this, we designed a multi-day learning experiment comprising twenty learning sessions in which subjects chose among pairs of images each associated with a different probability of reward. We assessed the degree to which subjects formed absolute values and relative preferences by asking them to choose between images they learned about in separate sessions. We found that concurrently learning about more images within a session enhanced absolute-value, and suppressed relative-preference, learning. Conversely, cumulatively pitting each image against a larger number of other images across multiple sessions did not impact the form of learning. These results show that the way humans encode preferences is adapted to the diversity of experiences offered by the immediate learning context.

Indexed as

LearningRewardChoice BehaviorHumansProbability

Identifiers

PMID36322560
PMCPMC9678339

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.