ArticleeLife2021
Continuous attractors for dynamic memories.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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Who cites it
16 citing papers in PubMed.
- A computational framework for epigenetic plasticity in memory.Brain : a journal of neurology · 2026Review
- Competition and cooperation of assembly sequences in recurrent neural networks.PLoS computational biology · 2025Article
- Directed cell-type recruitment during consolidation of a remote memory.bioRxiv : the preprint server for biology · 2025Article
- The influence of emotion on temporal context models.Cognition & emotion · 2025Review
- Article
- A Continuous Attractor Model with Realistic Neural and Synaptic Properties Quantitatively Reproduces Grid Cell Physiology.International journal of molecular sciences · 2024Article
- Article
- A Continuous Attractor Model with Realistic Neural and Synaptic Properties Quantitatively Reproduces Grid Cell Physiology.bioRxiv : the preprint server for biology · 2024Article
- Article
- Rapid memory encoding in a recurrent network model with behavioral time scale synaptic plasticity.PLoS computational biology · 2023Article
- Hippocampal spatial view cells for memory and navigation, and their underlying connectivity in humans.Hippocampus · 2023Review
- Review
- A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells.Frontiers in computational neuroscience · 2023Article
- Accounting for multiscale processing in adaptive real-world decision-making via the hippocampus.Frontiers in neuroscience · 2023Review
- Article
- In poetry, if meter has to help memory, it takes its time.Open research Europe · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Episodic memory has a dynamic nature: when we recall past episodes, we retrieve not only their content, but also their temporal structure. The phenomenon of replay, in the hippocampus of mammals, offers a remarkable example of this temporal dynamics. However, most quantitative models of memory treat memories as static configurations, neglecting the temporal unfolding of the retrieval process. Here, we introduce a continuous attractor network model with a memory-dependent asymmetric component in the synaptic connectivity, which spontaneously breaks the equilibrium of the memory configurations and produces dynamic retrieval. The detailed analysis of the model with analytical calculations and numerical simulations shows that it can robustly retrieve multiple dynamical memories, and that this feature is largely independent of the details of its implementation. By calculating the storage capacity, we show that the dynamic component does not impair memory capacity, and can even enhance it in certain regimes.
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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.