Evidence map›Paper›PMID 21709677›Full record

ReviewNature neuroscience2011

Measuring and interpreting neuronal correlations.

Marlene R Cohen, Adam Kohn

Abstract readReview
In one paragraph

Review in Nature neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 653 papers.

0numbers the graph read from it
0cells of the map it votes in
653citing 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

653 citing papers in PubMed.

  1. Article
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  5. Loss of neuronal population organization links pathology to behavior in a model of Alzheimer's disease.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
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  11. Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Review
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  17. Decomposing the modulation of interactions between neuronal populations.bioRxiv : the preprint server for biology · 2026
    Article
  18. Article
  19. Article
  20. Article

593 more citing papers are in PubMed but not listed here.

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

2 authors.

Marlene R CohenDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts, USA. cohenm@pitt.edu
Adam Kohn

Funding

Visual Cortical AdaptationR01EY016774 · NEI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KOHN, ADAM · 2008 to 2017
$3.7M
Using Attention to Understand Cortical Population CodesK99EY020844 · NEI · HARVARD MEDICAL SCHOOL · PI COHEN, MARLENE ROCHELLE · 2010 to 2010
$87k
NEI NIH HHS K99 EY020844NEI NIH HHS K99 EY020844-01NEI NIH HHS R01 EY016774
6 · The paper itself

Abstract

Mounting evidence suggests that understanding how the brain encodes information and performs computations will require studying the correlations between neurons. The recent advent of recording techniques such as multielectrode arrays and two-photon imaging has made it easier to measure correlations, opening the door for detailed exploration of their properties and contributions to cortical processing. However, studies have reported discrepant findings, providing a confusing picture. Here we briefly review these studies and conduct simulations to explore the influence of several experimental and physiological factors on correlation measurements. Differences in response strength, the time window over which spikes are counted, spike sorting conventions and internal states can all markedly affect measured correlations and systematically bias estimates. Given these complicating factors, we offer guidelines for interpreting correlation data and a discussion of how best to evaluate the effect of correlations on cortical processing.

Indexed as

Models, NeurologicalAction PotentialsAnimalsCell CommunicationCerebral CortexHumansModels, StatisticalNeurons

Identifiers

PMID21709677
PMCPMC3586814

What OpenQuestion holds

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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.