Evidence map›Paper›PMID 38242925›Full record

ArticleNature human behaviour2024

A generative model of memory construction and consolidation.

Eleanor Spens, Neil Burgess

Open access · hybridAbstract read
In one paragraph

Article in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
23.3field-weighted citation impact, top 1% of its field
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

29 citing papers in PubMed, 69 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. The hippocampus as a generative model.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. The active construction of past episodes.Translational neuroscience · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Cognitive Maps in the Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  17. A compressed code for memory discrimination.bioRxiv : the preprint server for biology · 2025
    Article
  18. Review
  19. Article
  20. 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

2 authors at 2 institutions in 1 country.

Eleanor SpensUCL Institute of Cognitive Neuroscience, University College London, London, UK. eleanor.spens.20@ucl.ac.uk.ORCID 0000-0002-9327-6342
Neil BurgessUCL Institute of Cognitive Neuroscience, University College London, London, UK. n.burgess@ucl.ac.uk.ORCID 0000-0003-0646-6584
Queen Mary University of London · GBUK Dementia Research Institute · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Episodic memories are (re)constructed, share neural substrates with imagination, combine unique features with schema-based predictions and show schema-based distortions that increase with consolidation. Here we present a computational model in which hippocampal replay (from an autoassociative network) trains generative models (variational autoencoders) to (re)create sensory experiences from latent variable representations in entorhinal, medial prefrontal and anterolateral temporal cortices via the hippocampal formation. Simulations show effects of memory age and hippocampal lesions in agreement with previous models, but also provide mechanisms for semantic memory, imagination, episodic future thinking, relational inference and schema-based distortions including boundary extension. The model explains how unique sensory and predictable conceptual elements of memories are stored and reconstructed by efficiently combining both hippocampal and neocortical systems, optimizing the use of limited hippocampal storage for new and unusual information. Overall, we believe hippocampal replay training generative models provides a comprehensive account of memory construction, imagination and consolidation.

Indexed as

Memory, EpisodicTemporal LobeHippocampusHumans

Identifiers

PMID38242925
PMCPMC10963272
OpenAlexW4391027709

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.