Hippocampal replay of experience at real-world speeds
Open accessPublished 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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 81 · Cited by 89
Research works printed but not linked: 2
- 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
- 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
- ORCID
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2021-09-27
- Volume
- 10
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC8476125
- 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
- gold
- doi.org
- Licence
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review