Evidence map›Paper›PMID 31358438›Full record

ReviewTrends in cognitive sciences2019

Nonmonotonic Plasticity: How Memory Retrieval Drives Learning.

Victoria J H Ritvo, Nicholas B Turk-Browne, Kenneth A Norman

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Learning of visual sequences by neurons in the human hippocampus.bioRxiv : the preprint server for biology · 2026
    Article
  7. Emotion regulation modulates subsequent control of unwanted memories.Social cognitive and affective neuroscience · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. An integrative model of perseverative thinking.Dialogues in clinical neuroscience · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Visual Statistical Learning Alters Low-Dimensional Cortical Architecture.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  18. Review
  19. Distortion of overlapping memories relates to arousal and anxiety.Cognitive, affective & behavioral neuroscience · 2025
    Article
  20. Article

19 more citing papers are in PubMed but not listed here.

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.

Victoria J H RitvoDepartment of Psychology, Princeton University, Princeton, NJ 08540, USA.
Nicholas B Turk-BrowneDepartment of Psychology, Yale University, New Haven, CT 06520-8205, USA.
Kenneth A NormanDepartment of Psychology, Princeton University, Princeton, NJ 08540, USA; Princeton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA. Electronic address: knorman@princeton.edu.

Funding

Modeling the Neural Basis of Episodic MemoryR01MH069456 · NIMH · PRINCETON UNIVERSITY · PI KENNETH A NORMAN, Nicholas Benjamin Turk-Browne · 2004 to 2026
$7.2M
NIMH NIH HHS R01 MH069456
6 · The paper itself

Abstract

What are the principles that govern whether neural representations move apart (differentiate) or together (integrate) as a function of learning? According to supervised learning models that are trained to predict outcomes in the world, integration should occur when two stimuli predict the same outcome. Numerous findings support this, but - paradoxically - some recent fMRI studies have found that pairing different stimuli with the same associate causes differentiation, not integration. To explain these and related findings, we argue that supervised learning needs to be supplemented with unsupervised learning that is driven by spreading activation in a U-shaped way, such that inactive memories are not modified, moderate activation of memories causes weakening (leading to differentiation), and higher activation causes strengthening (leading to integration).

Indexed as

Machine LearningAssociation LearningHumansMental RecalldifferentiationfMRIintegrationneural networksunsupervised learning

Identifiers

PMID31358438
PMCPMC6698209

What OpenQuestion holds

Textmetadata
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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.