Evidence map›Paper›PMID 40687515›Full record

ArticleJournal of cognition2025

A State-Transition-Free Delayed-Feedback Task Elicits Heterogeneous Human Responses.

Satoshi Hirata, Yutaro Sato, Hika Kuroshima, Yutaka Sakai

Abstract read
In one paragraph

Article in Journal of cognition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Satoshi HirataWildlife Research Center, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-1026-6270
Yutaro SatoUniversity Administration Office, Niigata University, Niigata, Japan.ORCID https://orcid.org/0000-0003-0272-9682
Hika KuroshimaGraduate School of Letters, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-4253-9667
Yutaka SakaiBrain Science Institute, Tamagawa University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9377-240X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans and nonhuman animals learn to perform actions by associating actions with outcomes. In everyday life, outcomes sometimes occur only after a delay, and at an unexpected moment. The ability to connect actions and delayed outcomes has received less attention than performance in tasks where rewards follow the most recent action. Here, following a previous study (Sato et al. 2023), we designed a learning task to investigate humans' ability to link actions and outcomes which occurred after intervening choices. We prepared a total of six visual stimuli for use in three types of trials: A vs B, where choosing A immediately led to reward and choosing B was never rewarded, C vs D, where neither choice was immediately rewarded but choice of C led to reward in a later E vs F trial, and E vs F, where neither stimulus was associated with reward but a reward was given based on choice of C in the past. Results showed that nine individuals learned to choose C, thereby receiving a delayed reward. Among them, one participant subsequently correctly described the task structure in words, while the remaining eight did so with misunderstandings. We also observed large individual differences in participants' action selection (e.g., an irrational bias for D, a possible superstitious bias for either E or F) and explicit/implicit understanding of the link between action and delayed outcome expressed in words. Our results offer new insights into the ability to cognitively link actions and outcomes following a time lag.

Indexed as

Credit assignment problemDelayed rewardEligibility traceExplicit learningReinforcement learning

Identifiers

PMID40687515
PMCPMC12273688

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.