Evidence map›Paper›PMID 32386889›Full record

ReviewTrends in cognitive sciences2020

Understanding Image Memorability.

Nicole C Rust, Vahid Mehrpour

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Multimodal prior knowledge determines false memory formation.Journal of experimental psychology. General · 2026
    Article
  10. What makes memories vivid?Journal of experimental psychology. General · 2026
    Article
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  14. A compressed code for memory discrimination.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
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  20. Visual short-term memory, culture, and image structure.Attention, perception & psychophysics · 2025
    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

2 authors.

Nicole C RustDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: nrust@psych.upenn.edu.
Vahid MehrpourDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

The neural mechanisms responsible for recognizing and remembering novel objects and scenesR01EY020851 · NEI · UNIVERSITY OF PENNSYLVANIA · PI RUST, NICOLE C · 2010 to 2018
$3.4M
NEI NIH HHS R01 EY020851
6 · The paper itself

Abstract

Why are some images easier to remember than others? Here, we review recent developments in our understanding of 'image memorability', including its behavioral characteristics, its neural correlates, and the optimization principles from which it originates. We highlight work that has used large behavioral data sets to leverage memorability scores computed for individual images. These studies demonstrate that the mapping of image content to image memorability is not only predictable, but also non-intuitive and multifaceted. This work has also led to insights into the neural correlates of image memorability, by way of the discovery of a type of population response magnitude variation that emerges in high-level visual cortex as well as higher stages of deep neural networks trained to categorize objects.

Indexed as

MemoryVisual CortexAttentionMental RecallNeural Networks, Computermagnitude codingmemorabilityneural networkrecognition memoryvisual cortexvisual memory

Identifiers

PMID32386889
PMCPMC8818973

What OpenQuestion holds

Textmetadata
LicenceTDM
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.