Evidence map›Paper›PMID 40562795›Full record

ArticleNature communications2025

Abstract rule learning promotes cognitive flexibility in complex environments across species.

Florian Bähner, Tzvetan Popov, Nico Boehme, Selina Hermann, Tom Merten, Hélène Zingone, Georgia Koppe, Andreas Meyer-Lindenberg, Hazem Toutounji, Daniel Durstewitz

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A neural mechanism for online discovery of latent contexts.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. 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

10 authors.

Florian BähnerRG Behavioral Physiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. florian.baehner@zi-mannheim.de.ORCID http://orcid.org/0000-0002-6747-0045
Tzvetan PopovDepartment of Psychology, University of Zurich, Zurich, Switzerland.
Nico BoehmeRG Behavioral Physiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Selina HermannRG Behavioral Physiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Tom MertenRG Behavioral Physiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0002-9300-7791
Hélène ZingoneRG Behavioral Physiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0009-0003-7225-4405
Georgia KoppeDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0003-2941-9238
Andreas Meyer-Lindenberg *Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Hazem Toutounji *School of Psychology, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-2655-3071
Daniel Durstewitz *Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-9340-3786

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) DU 354/14-1Deutsche Forschungsgemeinschaft (German Research Foundation) DU 354/15-1Deutsche Forschungsgemeinschaft (German Research Foundation) DU 354/8-2
6 · The paper itself

Abstract

Rapid learning in complex and changing environments is a hallmark of intelligent behavior. Humans achieve this in part through abstract concepts applicable to multiple, related situations. It is unclear, however, whether the computational mechanisms underlying rapid learning are unique to humans or also exist in other species. We combined behavioral, computational and electrophysiological analyses of a multidimensional rule-learning paradigm in male rats and in humans. We report that both species infer task rules by sequentially testing different hypotheses, rather than learning the correct action for all possible cue combinations. Neural substrates of hypothetical rules were detected in prefrontal network activity of both species. This species-conserved mechanism reduces task dimensionality and explains key experimental observations: sudden behavioral transitions and facilitated learning after prior experience. Our findings help to narrow the explanatory gap between human macroscopic and rodent microcircuit levels and provide a foundation for the translational investigation of impaired cognitive flexibility.

Indexed as

CognitionLearningPrefrontal CortexAdultAnimalsBehavior, AnimalCognitive FlexibilityCuesHumansMaleRatsSpecies SpecificityYoung Adult

Identifiers

PMID40562795
PMCPMC12198366

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.