Evidence map›Paper›PMID 36752404›Full record

ReviewJournal of neurophysiology2023

How our understanding of memory replay evolves.

Zhe Sage Chen, Matthew A Wilson

Abstract readReview
In one paragraph

Review in Journal of neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Invertebrate brains as diversified models for understanding sleep mechanisms and function.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Review
  2. Drift-diffusion dynamics of hippocampal replay.PLoS computational biology · 2026
    Article
  3. Article
  4. Article
  5. Nightly changes in neural activity and auditory processing of song control neurons depend on melatonin.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Article
  6. Article
  7. Article
  8. Spaces and sequences in the hippocampus: a homological perspective.Journal of computational neuroscience · 2026
    Article
  9. Article
  10. Article
  11. Respiration Shapes the Neural Dynamics of Successful Remembering in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  12. Article
  13. Long-Term Memory Updating Parallels Altered Awake and Sleep Hippocampal Replays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  14. Review
  15. A One-Trial Mouse Model of Highly Stable Trauma-Induced Long-Term Memory.Doklady biological sciences : proceedings of the Academy of Sciences of the USSR, Biological sciences sections · 2025
    Article
  16. Article
  17. Article
  18. Song-like activation of syringeal and respiratory muscles during sleep in canaries.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2025
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Zhe Sage ChenDepartment of Psychiatry, New York University Grossman School of Medicine, New York, New York, United States.ORCID 0000-0002-6483-6056
Matthew A WilsonDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.

Funding

CRNS: An Integrative Study of Hippocampal-Neocortical Memory Coding during Sleep R01MH118928 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHEN, ZHE SAGE, WILSON, MATTHEW A · 2018 to 2022
$1.8M
Dissection of spatiotemporal activity from large-scale, multi-modal, multi-resolution hippocampal-neocortical recordings.RF1DA056394 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BUZSAKI, GYORGY, CHEN, ZHE SAGE · 2022 to 2022
$1.1M
NIDA NIH HHS 056394NIDA NIH HHS RF1 DA056394NIMH NIH HHS 118928NIMH NIH HHS R01 MH118928
6 · The paper itself

Abstract

Memory reactivations and replay, widely reported in the hippocampus and cortex across species, have been implicated in memory consolidation, planning, and spatial and skill learning. Technological advances in electrophysiology, calcium imaging, and human neuroimaging techniques have enabled neuroscientists to measure large-scale neural activity with increasing spatiotemporal resolution and have provided opportunities for developing robust analytic methods to identify memory replay. In this article, we first review a large body of historically important and representative memory replay studies from the animal and human literature. We then discuss our current understanding of memory replay functions in learning, planning, and memory consolidation and further discuss the progress in computational modeling that has contributed to these improvements. Next, we review past and present analytic methods for replay analyses and discuss their limitations and challenges. Finally, looking ahead, we discuss some promising analytic methods for detecting nonstereotypical, behaviorally nondecodable structures from large-scale neural recordings. We argue that seamless integration of multisite recordings, real-time replay decoding, and closed-loop manipulation experiments will be essential for delineating the role of memory replay in a wide range of cognitive and motor functions.

Indexed as

Memory ConsolidationNeuronsAnimalsComputer SimulationHippocampusHumansLearningSleepmemory replaypopulation decodingrepresentational similarity analysissleep replaytemporally delayed linear modeling

Identifiers

PMID36752404
PMCPMC9988534

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.