OSCR

Neural correlates of learning speed reveal developmental differences in memory.

Overview

  1. Columbia University, Department of Psychology, United States
  2. University of Toronto, Department of Psychology, Canada
Institutions: University of Toronto (Canada); Columbia University (United States)
Journal: Developmental cognitive neuroscience, volume 80, article 101767
Dates: received 12 September 2025; accepted 16 June 2026; published online 18 June 2026; in print August 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.dcn.2026.101767 · PMID 42320393 · PMCID PMC13314806 · OpenAlex W7165144304
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: human (organism)
Methods: Connectivity, Statistics, Machine learning, Preprocessing, fMRI & imaging, Single-unit activity, calcium imaging
Keywords: Statistical Learning, Memory Development, Learning Rate, Timing, Classification, Neural Development
MeSH: Brain*, Child Development*, Learning*, Memory*, Adult, Brain Mapping, Child, Female, Humans, Magnetic Resonance Imaging, Male, Young Adult (* major topic)
Topic: Memory Processes and Influences (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Natural Sciences and Engineering Research Council of Canada (RGPIN-2016-05)
Citations: not cited yet (Europe PMC); 97 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the data are available on request

Read it in the paper: doi.org/10.1016/j.dcn.2026.101767.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Authors: added Tess Allegra Forest (0000-0002-3884-2786); removed Tess Allegra Forest

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 3 authors, 6 keywords, 12 MeSH terms, 1 funder, 96 references.

Cite

This paper

Forest, T. A., Schlichting, M. L., & Finn, A. S. (2026). Neural correlates of learning speed reveal developmental differences in memory. Developmental cognitive neuroscience, 80, 101767. https://doi.org/10.1016/j.dcn.2026.101767

BibTeX

@article{forest2026neural,
author = {Forest, Tess Allegra and Schlichting, Margaret L. and Finn, Amy S.},
title = {{Neural correlates of learning speed reveal developmental differences in memory}},
journal = {Developmental cognitive neuroscience},
year = {2026},
month = jun,
volume = {80},
pages = {101767},
publisher = {Elsevier},
issn = {1878-9293},
doi = {10.1016/j.dcn.2026.101767},
url = {https://doi.org/10.1016/j.dcn.2026.101767},
pmid = {42320393},
pmcid = {PMC13314806}
}

RIS

TY - JOUR
AU - Forest, Tess Allegra
AU - Schlichting, Margaret L.
AU - Finn, Amy S.
TI - Neural correlates of learning speed reveal developmental differences in memory
T2 - Developmental cognitive neuroscience
J2 - Dev Cogn Neurosci
PY - 2026
DA - 2026/06/18
VL - 80
SP - 101767
SN - 1878-9293
PB - Elsevier
DO - 10.1016/j.dcn.2026.101767
UR - https://doi.org/10.1016/j.dcn.2026.101767
LA - en
ER -

CSL-JSON

{
"id": "10.1016/j.dcn.2026.101767",
"type": "article-journal",
"title": "Neural correlates of learning speed reveal developmental differences in memory",
"container-title": "Developmental cognitive neuroscience",
"author": [
{
"family": "Forest",
"given": "Tess Allegra"
},
{
"family": "Schlichting",
"given": "Margaret L."
},
{
"family": "Finn",
"given": "Amy S."
}
],
"container-title-short": "Dev Cogn Neurosci",
"volume": "80",
"page": "101767",
"DOI": "10.1016/j.dcn.2026.101767",
"PMID": "42320393",
"PMCID": "PMC13314806",
"ISSN": "1878-9293",
"publisher": "Elsevier",
"URL": "https://doi.org/10.1016/j.dcn.2026.101767",
"language": "en",
"issued": {
"date-parts": [
[
2026,
6,
18
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1002/aur.70312 [code]
Aberrant Neural Entrainment to Word-Level Speech Patterns in Fragile X Syndrome: Evidence for a Statistical Learning Deficit.
Journal: Autism research : official journal of the International Society for Autism Research
In common: 8 references
[2] doi:10.1038/s41467-026-71428-6 [code]
Binding items to contexts through conjunctive neural representations with the method of loci.
Journal: Nature communications
In common: 10 references
[3] doi:10.1371/journal.pbio.3003755 [code]
Action information is integrated into entorhinal representations of conceptual space and is reflected in eye movements.
Journal: PLoS biology
In common: 9 references
[4] doi:10.1162/opmi.a.358 [code]
Tracking Visual Statistical Learning with Steady-State Visual Evoked Potentials: Effects of Exemplar and Category Information.
Journal: Open mind : discoveries in cognitive science
In common: 6 references
[5] doi:10.1002/hbm.70506 [code]
Revisiting Amplitude of Low-Frequency Fluctuations (ALFF) in Resting-State fMRI: Clarifications and Improvements.
Journal: Human brain mapping
In common: 9 references
[6] doi:10.1523/eneuro.0370-25.2026 [code]
Pretraining for Large-Scale Functional Connectome Fingerprinting Supports Generalization and Transfer Learning in Functional Neuroimaging.
Journal: eNeuro
In common: 8 references
[7] doi:10.1038/s41597-026-07323-y [code]
A densely sampled fMRI dataset for investigating food valuation.
Journal: Scientific data
In common: 8 references
[8] doi:10.1016/j.celrep.2026.117454 [code]
Model-based and model-free valuation signals in the human brain vary markedly in relation to individual differences in behavioral control.
Journal: Cell reports
In common: 8 references
[9] doi:10.7554/elife.103956 [code]
Human brain-wide activation of sleep rhythms.
Journal: eLife
In common: 7 references
[10] doi:10.7554/elife.107955
Multiple event segmentation mechanisms in the human brain.
Journal: eLife
In common: 7 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.