Evidence map›Paper›PMID 26658873›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015

A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples.

Sven Jahnke, Marc Timme, Raoul-Martin Memmesheimer

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
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

45 citing papers in PubMed, 105 citations in OpenAlex.

  1. Review
  2. Article
  3. Conditions for replay of neuronal assemblies.PLoS computational biology · 2026
    Article
  4. Theta-nested gamma oscillations balance prediction and vigilance in spatial navigation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Distinct mechanisms and functions of episodic memory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
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  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. How our understanding of memory replay evolves.Journal of neurophysiology · 2023
    Review
  16. Article
  17. Article
  18. Review
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Sven JahnkeNetwork Dynamics, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany, Bernstein Center for Computational Neuroscience, 37077 Göttingen, Germany, Institute for Nonlinear Dynamics, Georg August University, 37077 Göttingen, Germany.
Marc TimmeNetwork Dynamics, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany, Bernstein Center for Computational Neuroscience, 37077 Göttingen, Germany, Institute for Nonlinear Dynamics, Georg August University, 37077 Göttingen, Germany.
Raoul-Martin MemmesheimerCenter for Theoretical Neuroscience, Columbia University, New York, New York 10032-2695, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, 6500 Nijmegen, The Netherlands rm3354@cumc.columbia.edu.
Max Planck Institute for Dynamics and Self-Organization · DERadboud University Nijmegen · NLUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hippocampal activity is fundamental for episodic memory formation and consolidation. During phases of rest and sleep, it exhibits sharp-wave/ripple (SPW/R) complexes, which are short episodes of increased activity with superimposed high-frequency oscillations. Simultaneously, spike sequences reflecting previous behavior, such as traversed trajectories in space, are replayed. Whereas these phenomena are thought to be crucial for the formation and consolidation of episodic memory, their neurophysiological mechanisms are not well understood. Here we present a unified model showing how experience may be stored and thereafter replayed in association with SPW/Rs. We propose that replay and SPW/Rs are tightly interconnected as they mutually generate and support each other. The underlying mechanism is based on the nonlinear dendritic computation attributable to dendritic sodium spikes that have been prominently found in the hippocampal regions CA1 and CA3, where SPW/Rs and replay are also generated. Besides assigning SPW/Rs a crucial role for replay and thus memory processing, the proposed mechanism also explains their characteristic features, such as the oscillation frequency and the overall wave form. The results shed a new light on the dynamical aspects of hippocampal circuit learning. SIGNIFICANCE STATEMENT: During phases of rest and sleep, the hippocampus, the "memory center" of the brain, generates intermittent patterns of strongly increased overall activity with high-frequency oscillations, the so-called sharp-wave/ripples. We investigate their role in learning and memory processing. They occur together with replay of activity sequences reflecting previous behavior. Developing a unifying computational model, we propose that both phenomena are tightly linked, by mutually generating and supporting each other. The underlying mechanism depends on nonlinear amplification of synchronous inputs that has been prominently found in the hippocampus. Besides assigning sharp-wave/ripples a crucial role for replay generation and thus memory processing, the proposed mechanism also explains their characteristic features, such as the oscillation frequency and the overall wave form.

Indexed as

Models, NeurologicalNonlinear DynamicsAction PotentialsAnimalsDendritesHippocampusLearningMemoryNerve NetNeuronal PlasticityNeuronsdendritic spikeslearningmemorynetworkreplaysharp-wave/ripples

Identifiers

PMID26658873
PMCPMC6605500
OpenAlexW2284732906

What OpenQuestion holds

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Registered trials

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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.