Evidence map›Paper›PMID 41439712›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Conjunctive population coding integrates sensory evidence to guide adaptive behavior.

Jonas Terlau, Silke Ethofer, Georgios Naros, Yvonne Fonken, Jack J Lin, Robert T Knight, Randolph F Helfrich

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Jonas TerlauHertie Institute for Clinical Brain Research, Center for Neurology, University Medical Center Tübingen, Tübingen 72076, Germany.ORCID 0009-0008-2840-8039
Silke EthoferDepartment of Neurosurgery, University Medical Center Tübingen, Tübingen 72076, Germany.
Georgios NarosDepartment of Neurosurgery, University Medical Center Tübingen, Tübingen 72076, Germany.ORCID 0000-0003-4807-6234
Yvonne FonkenDepartment of Psychology, University of California Berkeley, Berkeley, CA 94720.ORCID 0000-0003-4407-6966
Jack J LinDepartment of Neurology, University of California Davis, Sacramento, CA 95816.ORCID 0000-0003-1304-227X
Robert T KnightDepartment of Psychology, University of California Berkeley, Berkeley, CA 94720.ORCID 0000-0001-8686-1685
Randolph F HelfrichDepartment of Psychology and the Wu Tsai Institute, Yale University, New Haven, CT 06510.ORCID 0000-0001-8045-3111

Funding

Neural circuit theory and trained recurrent network modeling of rapid learningU19NS107609 · NINDS · UNIVERSITY OF WASHINGTON · PI BUFFALO, ELIZABETH A · 2018 to 2022
$12.6M
Deutsche Forschungsgemeinschaft (DFG) DFG HE8329/2-1HHS | NIH | National Institute of Mental Health (NIMH) 1 PO MH109429HHS | NIH | National Institute of Mental Health (NIMH) U19NS107609HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 2 R01 NS021135Jung-Stiftung für Wissenschaft und Forschung (Jung-Stiftung) Ernst Jung Career Advancement Award in MedicineMedical Faculty at the University of Tübingen JRG Plus Program
6 · The paper itself

Abstract

Cognitive flexibility relies on the continuous accumulation and integration of sensory evidence to guide adaptive behavior. In natural environments, behaviorally relevant information unfolds sequentially over time and is constantly evaluated against prior knowledge, task rules, and current demands. Integration of these inputs poses a computational challenge: How is temporally unfolding, predictive information integrated into a stable representation, while preserving the discriminability and flexibility to map individual stimuli to competing context-specific actions? Using large-scale human intracranial electroencephalography, we assessed how neural population activity integrates behaviorally relevant information across multiple sensory events that sequentially unfold over time and jointly determine the current context. The results uncover that the population geometry supports the emergence of conjunctive coding subspaces that integrate prior information with current sensory evidence and jointly define the temporal context that mediates behavioral benefits. Evidence accumulation diversifies the population responses distributed across the cortex, increasing the representational space that embeds context-dependent stimulus-action mappings. Hence, context-dependent sensory coding might constitute the neural basis underlying adaptive human behavior. In sum, these results demonstrate how neural population activity balances integrating predictive information with preserving stimulus discriminability to enable flexibility, while minimizing interference.

Indexed as

Adaptation, PsychologicalAdultCognitionElectroencephalographyFemaleHumansMaleYoung Adultcognitive controlconjunctive codingcontext-dependent behaviorhigh-frequency band activityintracranial EEG

Identifiers

PMID41439712
PMCPMC12772193

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.