ArticleProceedings of the National Academy of Sciences of the United States of America2022
A model of autonomous interactions between hippocampus and neocortex driving sleep-dependent memory consolidation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05910762 (Learning Novel Structure Across Time and Sleep), which is not on this map. Cited by 28 papers.
What it found
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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.
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.
Learning Novel Structure Across Time and Sleep
Who cites it
28 citing papers in PubMed.
- Human brain-wide activation of sleep rhythms.eLife · 2026Article
- Article
- Memory reactivation during sleep promotes structure abstraction.bioRxiv : the preprint server for biology · 2026Article
- Article
- Dynamical modulation of hippocampal replay through firing rate adaptation.Nature communications · 2026Article
- Article
- The Role of Rapid Eye Movement Sleep in Neural Differentiation of Memories in the Hippocampus.Journal of cognitive neuroscience · 2026Article
- Statistical learning prioritizes abstract over item-specific representations.Psychonomic bulletin & review · 2025Article
- Article
- Both slow wave and rapid eye movement sleep contribute to emotional memory consolidation.Communications biology · 2025Article
- The role of memory in affirming-the-consequent fallacy.iScience · 2025Article
- REM refines and rescues memory representations: a new theory.Sleep advances : a journal of the Sleep Research Society · 2025Review
- Article
- EPS mid-career prize: An integrated framework for the learning, recognition and interpretation of words.Quarterly journal of experimental psychology (2006) · 2024Review
- Contrastive signal-dependent plasticity: Self-supervised learning in spiking neural circuits.Science advances · 2024Article
- A complementary learning systems model of how sleep moderates retrieval practice effects.Psychonomic bulletin & review · 2024Review
- Article
- An Integrated theory of false insights and beliefs under psychedelics.Communications psychology · 2024Review
- Memory's gatekeeper: The role of PFC in the encoding of congruent events.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Differentiation and Integration of Competing Memories: A Neural Network Model.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
How do we build up our knowledge of the world over time? Many theories of memory formation and consolidation have posited that the hippocampus stores new information, then "teaches" this information to the neocortex over time, especially during sleep. But it is unclear, mechanistically, how this actually works-How are these systems able to interact during periods with virtually no environmental input to accomplish useful learning and shifts in representation? We provide a framework for thinking about this question, with neural network model simulations serving as demonstrations. The model is composed of hippocampus and neocortical areas, which replay memories and interact with one another completely autonomously during simulated sleep. Oscillations are leveraged to support error-driven learning that leads to useful changes in memory representation and behavior. The model has a non-rapid eye movement (NREM) sleep stage, where dynamics between the hippocampus and neocortex are tightly coupled, with the hippocampus helping neocortex to reinstate high-fidelity versions of new attractors, and a REM sleep stage, where neocortex is able to more freely explore existing attractors. We find that alternating between NREM and REM sleep stages, which alternately focuses the model's replay on recent and remote information, facilitates graceful continual learning. We thus provide an account of how the hippocampus and neocortex can interact without any external input during sleep to drive useful new cortical learning and to protect old knowledge as new information is integrated.
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Registered trials
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.