Evidence map›Paper›PMID 35879320›Full record

ArticleNature communications2022

Noise correlations in neural ensemble activity limit the accuracy of hippocampal spatial representations.

Omer Hazon, Victor H Minces, David P Tomàs, Surya Ganguli, Mark J Schnitzer, Pablo E Jercog

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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Differential Encoding of Two-Tone Harmonics in the Male and Female Mouse Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  11. Article
  12. Article
  13. Distinctive Neurophysiological Signatures of Analgesia after Inflammatory Pain in the ACC of Freely Moving Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. The potential of muscarinic MFrontiers in psychiatry · 2024
    Review
  18. The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  19. How our understanding of memory replay evolves.Journal of neurophysiology · 2023
    Review
  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

6 authors.

Omer HazonStanford University, Stanford, CA, USA.
Victor H MincesUniversity California San Diego, San Diego, CA, USA.
David P TomàsInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Surya GanguliStanford University, Stanford, CA, USA.
Mark J SchnitzerStanford University, Stanford, CA, USA.ORCID 0000-0002-1431-8533
Pablo E JercogStanford University, Stanford, CA, USA. pjercog@gmail.com.ORCID 0000-0001-7852-5884

Funding

Towards a Complete Description of the Circuitry Underlying Sharp Wave-Mediated Memory ReplayU19NS104590 · NINDS · STANFORD UNIVERSITY · PI LISMAN, JOHN E · 2017 to 2021
$13.2M
NINDS NIH HHS U19 NS104590
6 · The paper itself

Abstract

Neurons in the CA1 area of the mouse hippocampus encode the position of the animal in an environment. However, given the variability in individual neurons responses, the accuracy of this code is still poorly understood. It was proposed that downstream areas could achieve high spatial accuracy by integrating the activity of thousands of neurons, but theoretical studies point to shared fluctuations in the firing rate as a potential limitation. Using high-throughput calcium imaging in freely moving mice, we demonstrated the limiting factors in the accuracy of the CA1 spatial code. We found that noise correlations in the hippocampus bound the estimation error of spatial coding to ~10 cm (the size of a mouse). Maximal accuracy was obtained using approximately [300-1400] neurons, depending on the animal. These findings reveal intrinsic limits in the brain's representations of space and suggest that single neurons downstream of the hippocampus can extract maximal spatial information from several hundred inputs.

Indexed as

HippocampusNeuronsAction PotentialsAnimalsMice

Identifiers

PMID35879320
PMCPMC9314334

What OpenQuestion holds

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Registered trials

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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.