ReviewTrends in neurosciences2017
Deciphering Neural Codes of Memory during Sleep.
Review in Trends in neurosciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- Effects of wakeful rest on memory consolidation: A systematic review and meta-analysis.Psychonomic bulletin & review · 2025Pooled it
- Retrosplenial cortex maturation aligns with the transition from infant forgetting to persistent memory.Cell reports · 2026Article
- DTI-ALPS and subcortical structural-functional coupling mediate the impact of sleep quality on working memory in insomnia disorder.Psychological medicine · 2026Article
- Long-Term Memory Engrams From Development to Adulthood.Hippocampus · 2025Review
- Article
- Item-specific neural representations during human sleep support long-term memory.PLoS biology · 2023Article
- Melatonin alleviates depression-like behaviors and cognitive dysfunction in mice by regulating the circadian rhythm of AQP4 polarization.Translational psychiatry · 2023Article
- Hippocampal memory reactivation during sleep is correlated with specific cortical states of the retrosplenial and prefrontal cortices.Learning & memory (Cold Spring Harbor, N.Y.) · 2023Article
- Decoding behavior from global cerebrovascular activity using neural networks.Scientific reports · 2023Article
- How our understanding of memory replay evolves.Journal of neurophysiology · 2023Review
- Regulation of dendritic spines in the amygdala following sleep deprivation.Frontiers in sleep · 2023Article
- Freezing revisited: coordinated autonomic and central optimization of threat coping.Nature reviews. Neuroscience · 2022Review
- Uncovering spatial representations from spatiotemporal patterns of rodent hippocampal field potentials.Cell reports methods · 2021Article
- Stability of ripple events during task engagement in human hippocampus.Cell reports · 2021Article
- Circadian control of brain glymphatic and lymphatic fluid flow.Nature communications · 2020Article
- Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus.Neural computation · 2020Article
- Neural circuits linking sleep and addiction: Animal models to understand why select individuals are more vulnerable to substance use disorders after sleep deprivation.Neuroscience and biobehavioral reviews · 2020Review
- Up and Down States and Memory Consolidation Across Somatosensory, Entorhinal, and Hippocampal Cortices.Frontiers in systems neuroscience · 2020Review
- Review
- Efficient Decoding of Multi-Dimensional Signals From Population Spiking Activity Using a Gaussian Mixture Particle Filter.IEEE transactions on bio-medical engineering · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Memories of experiences are stored in the cerebral cortex. Sleep is critical for the consolidation of hippocampal memory of wake experiences into the neocortex. Understanding representations of neural codes of hippocampal-neocortical networks during sleep would reveal important circuit mechanisms in memory consolidation and provide novel insights into memory and dreams. Although sleep-associated ensemble spike activity has been investigated, identifying the content of memory in sleep remains challenging. Here we revisit important experimental findings on sleep-associated memory (i.e., neural activity patterns in sleep that reflect memory processing) and review computational approaches to the analysis of sleep-associated neural codes (SANCs). We focus on two analysis paradigms for sleep-associated memory and propose a new unsupervised learning framework ('memory first, meaning later') for unbiased assessment of SANCs.
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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.