Evidence map›Paper›PMID 36622350›Full record

RevieweLife2023

Temporal context and latent state inference in the hippocampal splitter signal.

Éléonore Duvelle, Roddy M Grieves, Matthijs A A van der Meer

Abstract readReview
In one paragraph

Review in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. The hippocampus as a generative model.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Anxiety and Beyond: Diversity in Ventral Hippocampus Circuits and Function.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  12. Article
  13. Article
  14. A Hippocampal-Parietal Network for Reference Frame Coordination.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  15. Article
  16. Article
  17. 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

3 authors.

Éléonore DuvelleDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.ORCID 0000-0002-3514-8801
Roddy M GrievesDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.ORCID 0000-0002-6812-4056
Matthijs A A van der MeerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.ORCID 0000-0002-2206-4473

Funding

Biases in sharp wave-ripple content as a transdiagnostic cognitive processR01MH123466 · NIMH · DARTMOUTH COLLEGE · PI VAN DER MEER, MATTHIJS · 2020 to 2024
$1.6M
NIMH NIH HHS R01 MH123466
6 · The paper itself

Abstract

The hippocampus is thought to enable the encoding and retrieval of ongoing experience, the organization of that experience into structured representations like contexts, maps, and schemas, and the use of these structures to plan for the future. A central goal is to understand what the core computations supporting these functions are, and how these computations are realized in the collective action of single neurons. A potential access point into this issue is provided by 'splitter cells', hippocampal neurons that fire differentially on the overlapping segment of trajectories that differ in their past and/or future. However, the literature on splitter cells has been fragmented and confusing, owing to differences in terminology, behavioral tasks, and analysis methods across studies. In this review, we synthesize consistent findings from this literature, establish a common set of terms, and translate between single-cell and ensemble perspectives. Most importantly, we examine the combined findings through the lens of two major theoretical ideas about hippocampal function: representation of temporal context and latent state inference. We find that unique signature properties of each of these models are necessary to account for the data, but neither theory, by itself, explains all of its features. Specifically, the temporal gradedness of the splitter signal is strong support for temporal context, but is hard to explain using state models, while its flexibility and task-dependence is naturally accounted for using state inference, but poses a challenge otherwise. These theories suggest a number of avenues for future work, and we believe their application to splitter cells is a timely and informative domain for testing and refining theoretical ideas about hippocampal function.

Indexed as

HippocampusNeuronshippocampusmemoryneuroscienceplace cellsstate spacesstructure learningtrajectory-dependent firing

Identifiers

PMID36622350
PMCPMC9829411

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.