ReviewNeural plasticity2011
Reactivation, replay, and preplay: how it might all fit together.
Review in Neural plasticity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed.
- Article
- Accounting for sensitivity of latent learning to behavioral statistics with successor representations.PLoS computational biology · 2026Article
- Article
- The Default Network and Social Cognition: New Insights and Future Directions.Current opinion in behavioral sciences · 2025Article
- A Neural Signature of the Bias Toward Self-Focus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Altered patterning of neural activity in a neuropathology.Scientific reports · 2025Article
- Local inhibitory circuits mediate cortical reactivations and memory consolidation.Science advances · 2025Article
- A framework for uniting space and time in the mind and brain.Frontiers in cognition · 2025Article
- Reactivation strength during cued recall is modulated by graph distance within cognitive maps.eLife · 2024Article
- In Search of Dispersed Memories: Generative Diffusion Models Are Associative Memory Networks.Entropy (Basel, Switzerland) · 2024Article
- Article
- Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model.Frontiers in computational neuroscience · 2024Article
- A theory of the neural mechanisms underlying negative cognitive bias in major depression.Frontiers in psychiatry · 2024Article
- A theory of hippocampal theta correlations accounting for extrinsic and intrinsic sequences.eLife · 2023Article
- Rapid runtime learning by curating small datasets of high-quality items obtained from memory.PLoS computational biology · 2023Article
- A model of hippocampal replay driven by experience and environmental structure facilitates spatial learning.eLife · 2023Article
- Modeling the function of episodic memory in spatial learning.Frontiers in psychology · 2023Article
- Eye movements reveal spatiotemporal dynamics of visually-informed planning in navigation.eLife · 2022Article
- Bayesian continual learningFrontiers in computational neuroscience · 2022Article
- Context-dependent extinction learning emerging from raw sensory inputs: a reinforcement learning approach.Scientific reports · 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
Sequential activation of neurons that occurs during "offline" states, such as sleep or awake rest, is correlated with neural sequences recorded during preceding exploration phases. This so-called reactivation, or replay, has been observed in a number of different brain regions such as the striatum, prefrontal cortex, primary visual cortex and, most prominently, the hippocampus. Reactivation largely co-occurs together with hippocampal sharp-waves/ripples, brief high-frequency bursts in the local field potential. Here, we first review the mounting evidence for the hypothesis that reactivation is the neural mechanism for memory consolidation during sleep. We then discuss recent results that suggest that offline sequential activity in the waking state might not be simple repetitions of previously experienced sequences. Some offline sequential activity occurs before animals are exposed to a novel environment for the first time, and some sequences activated offline correspond to trajectories never experienced by the animal. We propose a conceptual framework for the dynamics of offline sequential activity that can parsimoniously describe a broad spectrum of experimental results. These results point to a potentially broader role of offline sequential activity in cognitive functions such as maintenance of spatial representation, learning, or planning.
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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.