Evidence map›Paper›PMID 38712831›Full record

ArticleeLife2024

Drift of neural ensembles driven by slow fluctuations of intrinsic excitability.

Geoffroy Delamare, Yosif Zaki, Denise J Cai, Claudia Clopath

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Stability through plasticity: Finding robust memories through representational drift.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Representational drift without synaptic plasticity.bioRxiv : the preprint server for biology · 2025
    Article
  9. Representational drift and learning-induced stabilization in the piriform cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Extinction training suppresses activity of fear memory ensembles across the hippocampus and alters transcriptomes of fear-encoding cells.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  13. Review
  14. Reward Expectation Reduces Representational Drift in the Hippocampus.bioRxiv : the preprint server for biology · 2023
    Article
  15. Representational drift in barrel cortex is receptive field dependent.bioRxiv : the preprint server for biology · 2023
    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.

Geoffroy DelamareDepartment of Bioengineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6217-4370
Yosif ZakiDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.
Denise J CaiDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID https://orcid.org/0000-0002-7729-0523
Claudia ClopathDepartment of Bioengineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4507-8648

Funding

Circuit Mechanisms of Retrospective Memory-LinkingR01MH120162 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Denise Jade Cai · 2020 to 2026
$3.9M
How does the brain maximize storage capacity?DP2MH122399 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, DENISE JADE · 2019 to 2020
$2.6M
Fear and anxiety circuit mechanisms in anterior hypothalamic nucleusR56MH132959 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, DENISE JADE · 2023 to 2024
$1.3M
Linking memories through hippocampal ensemble reactivationF31MH126543 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZAKI, YOSIF · 2021 to 2023
$136k
Biotechnology and Biological Sciences Research Council BB/N013956/1NIMH NIH HHS DP2 MH122399NIMH NIH HHS F31 MH126543NIMH NIH HHS R01 MH120162NIMH NIH HHS R56 MH132959Wellcome TrustWellcome Trust 10.35802/200790
6 · The paper itself

Abstract

Representational drift refers to the dynamic nature of neural representations in the brain despite the behavior being seemingly stable. Although drift has been observed in many different brain regions, the mechanisms underlying it are not known. Since intrinsic neural excitability is suggested to play a key role in regulating memory allocation, fluctuations of excitability could bias the reactivation of previously stored memory ensembles and therefore act as a motor for drift. Here, we propose a rate-based plastic recurrent neural network with slow fluctuations of intrinsic excitability. We first show that subsequent reactivations of a neural ensemble can lead to drift of this ensemble. The model predicts that drift is induced by co-activation of previously active neurons along with neurons with high excitability which leads to remodeling of the recurrent weights. Consistent with previous experimental works, the drifting ensemble is informative about its temporal history. Crucially, we show that the gradual nature of the drift is necessary for decoding temporal information from the activity of the ensemble. Finally, we show that the memory is preserved and can be decoded by an output neuron having plastic synapses with the main region.

Indexed as

Models, NeurologicalNeuronal PlasticityNeuronsAction PotentialsAnimalsBrainHumansMemoryNerve Netdriftexcitabilityintrinsic plasticitymemoryneurosciencenonesynaptic plasticity

Identifiers

PMID38712831
PMCPMC11076042

What OpenQuestion holds

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LicenceCC BY
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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.