Evidence map›Paper›PMID 31932764›Full record

ArticleNature neuroscience2020

Entorhinal velocity signals reflect environmental geometry.

Robert G K Munn, Caitlin S Mallory, Kiah Hardcastle, Dane M Chetkovich, Lisa M Giocomo

Open access · greenAbstract read
In one paragraph

Article in Nature neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Article
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  8. Modeling Grid Cell Distortions with a Grid Cell Calibration Mechanism.Cyborg and bionic systems (Washington, D.C.) · 2024
    Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. The grid code for ordered experience.Nature reviews. Neuroscience · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Article
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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

5 authors at 3 institutions in 1 country.

Robert G K MunnDepartment of Neurobiology, Stanford University School of Medicine, Stanford, CA, USA. munnr@stanford.edu.ORCID http://orcid.org/0000-0001-7366-4260
Caitlin S MalloryDepartment of Neurobiology, Stanford University School of Medicine, Stanford, CA, USA.
Kiah HardcastleDepartment of Neurobiology, Stanford University School of Medicine, Stanford, CA, USA.
Dane M ChetkovichDepartment of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
Lisa M GiocomoDepartment of Neurobiology, Stanford University School of Medicine, Stanford, CA, USA. giocomo@stanford.edu.ORCID http://orcid.org/0000-0003-0416-2528
Stanford Medicine · USStanford University · USVanderbilt University Medical Center · US

Funding

The Ionic Basis of Spatial Codes in Medial Entorhinal CortexR01MH106475 · NIMH · STANFORD UNIVERSITY · PI GIOCOMO, LISA · 2015 to 2019
$2.0M
Spatial Codes Across the Medial Entorhinal Cortex for Memory and NavigationR56MH106475 · NIMH · STANFORD UNIVERSITY · PI GIOCOMO, LISA · 2020 to 2020
$398k
NIMH NIH HHS R01 MH106475NIMH NIH HHS R56 MH106475
6 · The paper itself

Abstract

The entorhinal cortex contains neurons that represent self-location, including grid cells that fire in periodic locations and velocity signals that encode running speed and head direction. Although the size and shape of the environment influence grid patterns, whether entorhinal velocity signals are equally influenced or provide a universal metric for self-motion across environments remains unknown. Here we report that speed cells rescale after changes to the size and shape of the environment. Moreover, head direction cells reorganize in an experience-dependent manner to align with the axis of environmental change. A knockout mouse model allows dissociation of the coordination between cell types, with grid and speed cells, but not head direction cells, responding in concert to environmental change. These results point to malleability in the coding features of multiple entorhinal cell types and have implications for which cell types contribute to the velocity signal used by computational models of grid cells.

Indexed as

Models, NeurologicalAnimalsComputer SimulationEntorhinal CortexGrid CellsMaleMiceMice, Inbred C57BLMice, KnockoutSpace PerceptionSpatial Navigation

Identifiers

PMID31932764
PMCPMC7007349
OpenAlexW2999258534

What OpenQuestion holds

Textmetadata
LicenceTDM
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.