Evidence map›Paper›PMID 26906505›Full record

ReviewNature neuroscience2016

The mechanics of state-dependent neural correlations.

Brent Doiron, Ashok Litwin-Kumar, Robert Rosenbaum, Gabriel K Ocker, Krešimir Josić

Abstract readReview
In one paragraph

Review in Nature neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers.

0numbers the graph read from it
0cells of the map it votes in
130citing 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

130 citing papers in PubMed.

  1. Article
  2. Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026
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  12. Nonresponsive Neurons Improve Population Coding of Object Location.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  13. Article
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  19. The mechanics of correlated variability in segregated cortical excitatory subnetworks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. Article

70 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

5 authors.

Brent DoironDepartment of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Ashok Litwin-KumarDepartment of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID http://orcid.org/0000-0003-2422-6576
Robert RosenbaumDepartment of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Gabriel K OckerDepartment of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Krešimir JosićDepartment of Mathematics, University of Houston, Houston, Texas, USA.

Funding

CRCNS: Formation of stimulus selective neural assemblies in piriform cortexR01DC015139 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOIRON, BRENT D., OSWALD, ANNE-MARIE MICHELLE · 2015 to 2017
$801k
Interactions between piriform cortex and amygdala in a model of associative learning in the mammalian olfactory systemF32DC014387 · NIDCD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LITWIN-KUMAR, ASHOK · 2014 to 2017
$159k
NIDCD NIH HHS 1F32DC014387NIDCD NIH HHS F32 DC014387NIDCD NIH HHS R01 DC015139NIDCD NIH HHS R01DC015139-01ZRG1
6 · The paper itself

Abstract

Simultaneous recordings from large neural populations are becoming increasingly common. An important feature of population activity is the trial-to-trial correlated fluctuation of spike train outputs from recorded neuron pairs. Similar to the firing rate of single neurons, correlated activity can be modulated by a number of factors, from changes in arousal and attentional state to learning and task engagement. However, the physiological mechanisms that underlie these changes are not fully understood. We review recent theoretical results that identify three separate mechanisms that modulate spike train correlations: changes in input correlations, internal fluctuations and the transfer function of single neurons. We first examine these mechanisms in feedforward pathways and then show how the same approach can explain the modulation of correlations in recurrent networks. Such mechanistic constraints on the modulation of population activity will be important in statistical analyses of high-dimensional neural data.

Indexed as

Feedback, PhysiologicalAnimalsModels, NeurologicalNeural PathwaysNeurons

Identifiers

PMID26906505
PMCPMC5477791

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.