Cited by 89Memory and Neural MechanismsNeural dynamics and brain functionNeurogenesis and neuroplasticity mechanisms

Hippocampal replay of experience at real-world speeds

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Denovellis, Eric L, Gillespie, Anna K, Coulter, Michael E, Sosa, Marielena, Chung, Jason E, Eden, Uri T, Frank, Loren M·2021·eLife

Published version of a preprint

Abstract

Representations related to past experiences play a critical role in memory and decision-making processes. The rat hippocampus expresses these types of representations during sharp-wave ripple (SWR) events, and previous work identified a minority of SWRs that contain ‘replay’ of spatial trajectories at ∼20x the movement speed of the animal. Efforts to understand replay typically make multiple assumptions about which events to examine and what sorts of representations constitute replay. We therefore lack a clear understanding of both the prevalence and the range of representational dynamics associated with replay. Here, we develop a state space model that uses a combination of movement dynamics of different speeds to capture the spatial content and time evolution of replay during SWRs. Using this model, we find that the large majority of replay events contain spatially coherent, interpretable content. Furthermore, many events progress at real-world, rather than accelerated, movement speeds, consistent with actual experiences.

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  • Recent remodelling of sharp-wave-ripple events suggests that neuronal replay often occurs at 'real-world' speeds that reflect actual experience.

    “recent remodelling of sharp-wave-ripple events suggests that this neuronal replay often occurs at ‘real-world’ speeds that reflect actual experience [185], as observed in other studies [127].”

    From Is episodic-like memory <i>like</i> episodic memory? (2024) · cites this paper as [185]

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References 81 · Cited by 89

Research works printed but not linked: 2

  1. Hagberg AA Schult DA Swart PJ Structure EN 2008 Dynamics, and function using NetworkX Proceedings of the 7th Python In Science Conference Pasadena 11 15
  2. Lam SK Pitrou A Seibert S 2015 Numba: a LLVM-Based Python JIT compiler Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in HPC -LLVM ’15 Austin 1 6

Authors
Denovellis, E. L., Gillespie, A. K., Coulter, M. E., Sosa, M., Chung, J. E., Eden, U. T., & Frank, L. M.
Affiliations
  • Howard Hughes Medical Institute (US)
  • University of California, San Francisco (US)
  • Stanford Medicine (US)
  • Boston University (US)
Corresponding author
Frank, Loren M
Venue
eLife
Published
2021-09-27
Volume
10
ISSN
2050-084X (ISSN-L)
OpenAlex
W3202646677
Cited by
89
References
81
Citations by year
2026: 16 · 2025: 23 · 2024: 18 · 2023: 11 · 2022: 14 · 2021: 7
FWCI
6.57
Type
journal article
Language
en
Open access
Locations
  • eLife (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • eScholarship (California Digital Library) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
Funders
  • Simons Foundation (542971, 542981)
  • Howard Hughes Medical Institute
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
Keywords
hippocampal replay, sharp-wave ripples, spatial memory, movement speed, state-space model, rat hippocampus, memory consolidation, decision-making
MeSH terms
Memory Consolidation, Action Potentials, Animals, Behavior, Animal, Hippocampus, Male, Memory, Models, Neurological, Rats, Long-Evans, Rats

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