Evidence map›Paper›PMID 41145217›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Learning to Program "Recycles" Preexisting Frontoparietal Population Codes of Logical Algorithms.

Yun-Fei Liu 劉耘非, Marina Bedny

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 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
–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

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

2 authors.

Yun-Fei Liu 劉耘非Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, Maryland 21211.
Marina BednyDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, Maryland 21211.ORCID 0000-0002-2907-8042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer programming is a cornerstone of modern society, yet little is known about how the human brain enables this recently invented cultural skill. According to the neural recycling hypothesis, cultural skills (e.g., reading, math) repurpose preexisting neural "information maps." Alternatively, such maps could emerge de novo during learning, as they do in artificial neural networks. Representing and manipulating logical algorithms, such as "for" loops and "if" conditionals, is key to programming. Are representations of these algorithms acquired when people learn to program? Alternatively, do they predate instruction and get "recycled"? College students (

Indexed as

AlgorithmsFrontal LobeLearningLogicParietal LobeAdolescentAdultBrain MappingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleYoung Adultalgorithmcultural skillfMRIneural recyclingprogrammingreasoning

Identifiers

PMID41145217
PMCPMC12590113

What OpenQuestion holds

Textmetadata
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.