Evidence map›Paper›PMID 35351831›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

A Variable Clock Underlies Internally Generated Hippocampal Sequences.

Xinyi Deng, Shizhe Chen, Marielena Sosa, Mattias P Karlsson, Xue-Xin Wei, Loren M Frank

Open access · hybridAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Spaces and sequences in the hippocampus: a homological perspective.Journal of computational neuroscience · 2026
    Article
  2. A Hippocampal-Parietal Network for Reference Frame Coordination.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. 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

6 authors at 5 institutions in 2 countries.

Xinyi DengDepartment of Data Science, Beijing University of Technology, Beijing 100124, People's Republic of China xinyi@bjut.edu.cn loren@phy.ucsf.edu.
Shizhe ChenDepartment of Statistics, University of California, Davis, Davis, California 95616.
Marielena SosaCenter for Integrative Neuroscience and Department of Physiology, University of California, San Francisco, San Francisco, California 94158.
Mattias P KarlssonCenter for Integrative Neuroscience and Department of Physiology, University of California, San Francisco, San Francisco, California 94158.
Xue-Xin WeiDepartment of Neuroscience, University of Texas at Austin, Austin, Texas 78751.
Loren M FrankCenter for Integrative Neuroscience and Department of Physiology, University of California, San Francisco, San Francisco, California 94158 xinyi@bjut.edu.cn loren@phy.ucsf.edu.ORCID https://orcid.org/0000-0002-1752-5677
University of California, San Francisco · USBeijing University of Technology · CNHoward Hughes Medical Institute · USThe University of Texas at Austin · USUniversity of California, Davis · US

Funding

Real-time analysis of memories and decisionsR01MH105174 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EDEN, URI TZVI, FRANK, LOREN M · 2014 to 2018
$2.7M
NIMH NIH HHS R01 MH105174
6 · The paper itself

Abstract

Humans have the ability to store and retrieve memories with various degrees of specificity, and recent advances in reinforcement learning have identified benefits to learning when past experience is represented at different levels of temporal abstraction. How this flexibility might be implemented in the brain remains unclear. We analyzed the temporal organization of male rat hippocampal population spiking to identify potential substrates for temporally flexible representations. We examined activity both during locomotion and during memory-associated population events known as sharp-wave ripples (SWRs). We found that spiking during SWRs is rhythmically organized with higher event-to-event variability than spiking during locomotion-associated population events. Decoding analyses using clusterless methods further indicate that a similar spatial experience can be replayed in multiple SWRs, each time with a different rhythmic structure whose periodicity is sampled from a log-normal distribution. This variability increases with experience despite the decline in SWR rates that occurs as environments become more familiar. We hypothesize that the variability in temporal organization of hippocampal spiking provides a mechanism for storing experiences with various degrees of specificity.

Indexed as

HippocampusLearningAnimalsMaleRatsflexibilityhippocampuslearningmemoryreplaysharp-wave ripple

Identifiers

PMID35351831
PMCPMC9087812
OpenAlexW4225980195

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.