ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020
On the methods for reactivation and replay analysis.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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
28 citing papers in PubMed.
- Drift-diffusion dynamics of hippocampal replay.PLoS computational biology · 2026Article
- Replay of procedural memory is independent of the hippocampus.Nature neuroscience · 2026Article
- Experience reorganizes content-specific memory traces in macaques.Nature neuroscience · 2026Article
- Article
- Dorsoventral hippocampus neural assemblies reactivate during sleep following an aversive experience.Nature neuroscience · 2026Article
- Replay without sharp wave ripples in a spatial memory task.Nature communications · 2025Article
- Article
- Isolated theta waves originating from the midline thalamus trigger memory reactivation during NREM sleep in mice.Nature communications · 2024Article
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- 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
- Enhanced Reactivation of Remapping Place Cells during Aversive Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- How our understanding of memory replay evolves.Journal of neurophysiology · 2023Review
- Sleep loss diminishes hippocampal reactivation and replay.Research square · 2023Article
- Neural ensembles in navigation: From single cells to population codes.Current opinion in neurobiology · 2023Review
- Imagination as a fundamental function of the hippocampus.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- Brain neural patterns and the memory function of sleep.Science (New York, N.Y.) · 2021Review
- Replay in Deep Learning: Current Approaches and Missing Biological Elements.Neural computation · 2021Article
- Article
- Aperiodic sleep networks promote memory consolidation.Trends in cognitive sciences · 2021Review
- Article
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.
Funding
Abstract
A major task in the history of neurophysiology has been to relate patterns of neural activity to ongoing external stimuli. More recently, this approach has branched out to relating current neural activity patterns to external stimuli or experiences that occurred in the past or future. Here, we aim to review the large body of methodological approaches used towards this goal, and to assess the assumptions each makes with reference to the statistics of neural data that are commonly observed. These methods primarily fall into two categories, those that quantify zero-lag relationships without examining temporal evolution, termed
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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.