Evidence map›Paper›PMID 24872552›Full record

Trial reportThe Journal of neuroscience : the official journal of the Society for Neuroscience2014

Global neural pattern similarity as a common basis for categorization and recognition memory.

Tyler Davis, Gui Xue, Bradley C Love, Alison R Preston, Russell A Poldrack

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Distinct Hippocampal Mechanisms Support Concept Formation and Updating.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Representational formats of human memory traces.Brain structure & function · 2024
    Review
  6. Article
  7. Hippocampal Functions Modulate Transfer-Appropriate Cortical Representations Supporting Subsequent Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  8. Article
  9. Article
  10. Identifying causal subsequent memory effects.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Concept formation as a computational cognitive process.Current opinion in behavioral sciences · 2021
    Article
  16. Article
  17. Article
  18. Cortical Overlap and Cortical-Hippocampal Interactions Predict Subsequent True and False Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  19. Article
  20. Measures of Neural Similarity.Computational brain & behavior · 2020
    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.

Tyler DavisDepartment of Psychology, Texas Tech University, Lubbock, Texas 79409, tyler.h.davis@ttu.edu.
Gui XueNational Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, People's Republic of China, and.
Bradley C LoveUniversity College London, London WC1E 6BT, United Kingdom.
Alison R PrestonDepartment of Psychology, Center for Learning and Memory, and Department of Neuroscience, The University of Texas at Austin, Austin, Texas 78712.
Russell A PoldrackImaging Research Center, Department of Psychology, Center for Learning and Memory, and Department of Neuroscience, The University of Texas at Austin, Austin, Texas 78712.

Funding

Model-Based fMRI of Dynamic Category Learning: The Memory and Attention InterfaceR21MH091523 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI LOVE, BRADLEY C, PRESTON, ALISON R · 2011 to 2012
$377k
NIMH NIH HHS MH091523NIMH NIH HHS R21 MH091523
6 · The paper itself

Abstract

Familiarity, or memory strength, is a central construct in models of cognition. In previous categorization and long-term memory research, correlations have been found between psychological measures of memory strength and activation in the medial temporal lobes (MTLs), which suggests a common neural locus for memory strength. However, activation alone is insufficient for determining whether the same mechanisms underlie neural function across domains. Guided by mathematical models of categorization and long-term memory, we develop a theory and a method to test whether memory strength arises from the global similarity among neural representations. In human subjects, we find significant correlations between global similarity among activation patterns in the MTLs and both subsequent memory confidence in a recognition memory task and model-based measures of memory strength in a category learning task. Our work bridges formal cognitive theories and neuroscientific models by illustrating that the same global similarity computations underlie processing in multiple cognitive domains. Moreover, by establishing a link between neural similarity and psychological memory strength, our findings suggest that there may be an isomorphism between psychological and neural representational spaces that can be exploited to test cognitive theories at both the neural and behavioral levels.

Indexed as

FemaleHumansMaleMemoryNeuronsPattern Recognition, VisualPhotic StimulationPsychomotor Performance

Identifiers

PMID24872552
PMCPMC4035513

What OpenQuestion holds

Textmetadata
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.