Evidence map›Paper›PMID 35136052›Full record

ArticleNature communications2022

Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events.

Babak Shahbaba, Lingge Li, Forest Agostinelli, Mansi Saraf, Keiland W Cooper, Derenik Haghverdian, Gabriel A Elias, Pierre Baldi, Norbert J Fortin

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. The hippocampus rapidly integrates sequence representations during novel multistep predictions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Article
  3. Article
  4. Hippocampal conditioning code dominates and disrupts the place code.bioRxiv : the preprint server for biology · 2026
    Article
  5. Neurodatascience: Past, Present, and Future.Data science in science · 2026
    Article
  6. Neural Representation of Episodic Time.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  7. Optimal Transport based Cross-Domain Integration for Heterogeneous Data.Journal of the American Statistical Association · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. The Gaussian-linear hidden Markov model: A Python package.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  18. Article
  19. Article
  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

9 authors.

Babak ShahbabaData Science Institute, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-8102-1609
Lingge LiDepartment of Statistics, University of California, Irvine, CA, USA.
Forest AgostinelliDepartment of Statistics, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0003-1392-3667
Mansi SarafCenter for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-2893-4978
Keiland W CooperCenter for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-0358-9645
Derenik HaghverdianDepartment of Statistics, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-6801-3073
Gabriel A EliasCenter for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-2339-7245
Pierre BaldiDepartment of Statistics, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0001-8752-4664
Norbert J FortinData Science Institute, University of California, Irvine, CA, USA. norbert.fortin@uci.edu.ORCID http://orcid.org/0000-0002-6793-6984

Funding

NIDCD T32 Interdisciplinary Training Program in Hearing ResearchT32DC010775 · NIDCD · UNIVERSITY OF CALIFORNIA-IRVINE · PI Karina S Cramer, Raju Metherate · 2010 to 2026
$3.5M
Nicotinic enhancement of auditory-cognitive processingR01DC017687 · NIDCD · UNIVERSITY OF CALIFORNIA-IRVINE · PI METHERATE, RAJU · 2019 to 2023
$3.1M
Scalable Bayesian Stochastic Process Models for Neural Data AnalysisR01MH115697 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI SHAHBABA, BABAK · 2018 to 2022
$1.7M
NIDCD NIH HHS R01 DC017687NIDCD NIH HHS T32 DC010775NIMH NIH HHS R01 MH115697
6 · The paper itself

Abstract

The hippocampus is critical to the temporal organization of our experiences. Although this fundamental capacity is conserved across modalities and species, its underlying neuronal mechanisms remain unclear. Here we recorded hippocampal activity as rats remembered an extended sequence of nonspatial events unfolding over several seconds, as in daily life episodes in humans. We then developed statistical machine learning methods to analyze the ensemble activity and discovered forms of sequential organization and coding important for order memory judgments. Specifically, we found that hippocampal ensembles provide significant temporal coding throughout nonspatial event sequences, differentiate distinct types of task-critical information sequentially within events, and exhibit theta-associated reactivation of the sequential relationships among events. We also demonstrate that nonspatial event representations are sequentially organized within individual theta cycles and precess across successive cycles. These findings suggest a fundamental function of the hippocampal network is to encode, preserve, and predict the sequential order of experiences.

Indexed as

MemoryAcoustic StimulationAnimalsAuditory PerceptionElectrodes, ImplantedHippocampusMachine LearningMaleModels, AnimalNerve NetOdorantsOlfactory PerceptionRatsStereotaxic TechniquesTime Factors

Identifiers

PMID35136052
PMCPMC8825855

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.