Evidence map›Paper›PMID 30420740›Full record

ArticleScientific reports2018

Minimal memory for details in real life events.

Pranav Misra, Alyssa Marconi, Matthew Peterson, Gabriel Kreiman

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Accuracy and Precision of Memory for Natural Scenes: A Walk in the Park.Open mind : discoveries in cognitive science · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

4 authors.

Pranav MisraDepartments of Ophthalmology Neurology, Children's Hospital, Harvard Medical School, Pilani, India.
Alyssa MarconiDepartments of Ophthalmology Neurology, Children's Hospital, Harvard Medical School, Pilani, India.
Matthew PetersonDepartment of Brain and Cognitive Sciences, MIT, Cambridge, USA.
Gabriel KreimanDepartments of Ophthalmology Neurology, Children's Hospital, Harvard Medical School, Pilani, India. gabriel.kreiman@tch.harvard.edu.ORCID http://orcid.org/0000-0003-3505-8475

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extent to which the details of past experiences are retained or forgotten remains controversial. Some studies suggest massive storage while others describe memories as fallible summary recreations of original events. The discrepancy can be ascribed to the content of memories and how memories are evaluated. Many studies have focused on recalling lists of words/pictures, which lack the critical ingredients of real world memories. Here we quantified the ability to remember details about one hour of real life. We recorded video and eye movements while subjects walked along specified routes and evaluated whether they could distinguish video clips from their own experience from foils. Subjects were minimally above chance in remembering the minutiae of their experiences. Recognition of specific events could be partly explained by a machine-learning model of video contents. These results quantify recognition memory for events in real life and show that the details of everyday experience are largely not retained in memory.

Indexed as

AdolescentAdultEye MovementsFemaleHumansMachine LearningMaleMemoryYoung Adult

Identifiers

PMID30420740
PMCPMC6232115

What OpenQuestion holds

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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.