Evidence map›Paper›PMID 31472193›Full record

ArticleBehavioural brain research2019

Forgetting at biologically realistic levels of neurogenesis in a large-scale hippocampal model.

Lina M Tran, Sheena A Josselyn, Blake A Richards, Paul W Frankland

Abstract read
In one paragraph

Article in Behavioural brain research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. The neuroimmune system and cognition.Nature immunology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Reduced Adult Neurogenesis in Humans Results From a Tradeoff Rather Than Direct Negative Selection.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Adult neurogenesis acts as a neural regularizer.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
  13. Review
  14. Review
  15. What Is Adult Hippocampal Neurogenesis Good for?Frontiers in neuroscience · 2022
    Article
  16. Article
  17. Article
  18. Functional neurogenesis over the years.Behavioural brain research · 2020
    Review
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.

Lina M TranNeuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada; Dept. of Physiology, University of Toronto, Toronto, ON, Canada; Vector Institute, Toronto, ON, Canada.
Sheena A JosselynNeuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada; Dept. of Physiology, University of Toronto, Toronto, ON, Canada; Dept. of Psychology, University of Toronto, Toronto, ON, Canada; Institute of Medical Sciences, University of TorontoToronto, ON, Canada; Brain, Mind and Consciousness Program, Canadian Institute for Advanced Research, Toronto, ON, Canada.
Blake A RichardsMila, Montreal, QC, Canada; School of Computer Science, McGill University, Montreal, QC, Canada; Dept. of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada; Canadian Institute for Advanced Research, Toronto, ON, Canada.
Paul W FranklandNeuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada; Dept. of Physiology, University of Toronto, Toronto, ON, Canada; Dept. of Psychology, University of Toronto, Toronto, ON, Canada; Institute of Medical Sciences, University of TorontoToronto, ON, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, ON, Canada. Electronic address: paul.frankland@sickkids.ca.

Funding

The Role of Neuronal Ensembles Supporting Auditory Fear Conditioning (Engrams) in the Amygdala in Memory Formation, Generalization and ExtinctionR01MH119421 · NIMH · HOSPITAL FOR SICK CHLDRN (TORONTO) · PI FRANKLAND, PAUL, JOSSELYN, SHEENA A · 2019 to 2023
$1.7M
NIMH NIH HHS R01 MH119421
6 · The paper itself

Abstract

Neurogenesis persists throughout life in the dentate gyrus region of the mammalian hippocampus. Computational models have established that the addition of neurons degrades existing memories (i.e., produces forgetting). These predictions are supported by empirical observations in rodents, where post-training increases in neurogenesis also promote forgetting of hippocampus-dependent memories. However, in these computational models which use 10-1,000 neurons to represent the dentate gyrus, forgetting is only observed at rates of new neuron addition that greatly exceed adult neurogenesis rates observed in vivo. In order to address this, here we generated an artificial neural network which incorporated more realistic features of the hippocampus - including increased network size (with up to 20,000 dentate gyrus neurons), sparse activity, and sparse connectivity - features that were not present in earlier models. In addition, we explored how properties of new neurons - their connectivity, excitability, and plasticity - impact forgetting using a pattern categorization task. Our results revealed that neurogenic networks forget previously learned input-output pattern associations. This forgetting predicted a performance enhancement in subsequent conflictual learning, compared to static networks (with no added neurons). These effects were especially sensitive to changes in increased output connectivity and excitability of new neurons. Crucially, forgetting was observed at much lower rates of neurogenesis in larger networks, with the addition of as little as 0.2% of the total DG population sufficient to induce forgetting.

Indexed as

Computer SimulationDentate GyrusHippocampusLearningMemoryNeural Networks, ComputerNeurogenesisNeuronsArtificial neural networkForgettingNeurogenesis

Identifiers

PMID31472193
PMCPMC8719326

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.