Evidence map›Paper›PMID 40970143›Full record

ArticleJournal of applied research in memory and cognition2024

General knowledge and detailed memory benefit from different training sequences.

Sharon M Noh, Robert A Bjork, Alison R Preston

Abstract read
In one paragraph

Article in Journal of applied research in memory and cognition, 2024. 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. Multistep inference across the human lifespan can be improved with individualized memory interventions.The journals of gerontology. Series B, Psychological sciences and social sciences · 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

3 authors.

Sharon M NohUniversity of California, Irvine.
Robert A BjorkUniversity of California, Los Angeles.
Alison R PrestonUniversity of Texas, Austin.

Funding

Hippocampal and prefrontal contributions to memory integrationR01MH100121 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Alison R Preston · 2013 to 2026
$7.3M
Improving long-term retention of generalized knowledge and detailed memory by shaping neural representations during learningF31NS105353 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI NOH, SHARON M · 2017 to 2018
$67k
NIMH NIH HHS R01 MH100121NINDS NIH HHS F31 NS105353
6 · The paper itself

Abstract

Real-world decisions require understanding generalities (e.g., sorting an album collection by genre) and the ability to remember specific events (where one acquired a particular album). Discriminating between broad categories versus individual events requires contrasting features at different levels of specificity, and therefore have different representational demands. Here, we used a within-participant design to test the hypothesis that different training protocols (blocked or interleaved order) would have dissociable impacts on representation of generalities and specifics. On each trial, participants viewed a painting from one of twelve artists along with information about its unique location. Category generalization and source memory were tested immediately and after one week. Interleaving enhanced generalization, while blocking improved incidental learning of episodic details. Furthermore, category knowledge remained stable over time, whereas episodic details declined. These results indicate that interleaving and blocking optimize discrimination at different levels of specificity, with differential impacts on inferring generalities and remembering specific events.

Indexed as

concept learningepisodic memoryinductive reasoningmnemonic discriminationretention

Identifiers

PMID40970143
PMCPMC12443217

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.