Curriculum Learning in Humans and Neural Networks.

Younes Strittmatter, Stefano Sarao Mannelli, Miguel Ruiz-Garcia, Sebastian Musslick, Markus Wolfgang Hermann Spitzer

Abstract read

In one paragraph

Article in Open mind : discoveries in cognitive science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

A statistical physics framework for optimal learning.PNAS nexus · 2026
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

5 authors.

Younes StrittmatterDepartment of Psychology, Princeton University, Princeton, NJ, USA.ORCID https://orcid.org/0000-0002-3414-2838

Stefano Sarao MannelliData Science and AI, Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-7008-8832

Miguel Ruiz-GarciaDepartamento de Estructura de la Materia, Física Térmica y Electrónica, Universidad Complutense de Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0002-0738-5770

Sebastian MusslickInstitute of Cognitive Science, Osnabrück University, Osnabrück, Germany.ORCID https://orcid.org/0000-0002-8896-639X

Markus Wolfgang Hermann SpitzerDepartment of Psychology, Martin Luther University Halle-Wittenberg, Halle, Germany.ORCID https://orcid.org/0000-0001-6040-1939

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sequencing of training trials can significantly influence learning outcomes in humans and neural networks. However, studies comparing the effects of training curricula between the two have typically focused on the acquisition of multiple tasks. Here, we investigate curriculum learning in a single perceptual decision-making task, examining whether the behavior of a parsimonious network trained on different curricula would be replicated in human participants (

Indexed as

curriculum learningparsimonious neural networksperceptual decision-making

Identifiers

PMID42245993

DOI10.1162/OPMI.a.355

PMCPMC13233094

What OpenQuestion holds

Textmetadata

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.