Evidence map›Paper›PMID 31439838›Full record

ArticleNature communications2019

Cortical reliability amid noise and chaos.

Max Nolte, Michael W Reimann, James G King, Henry Markram, Eilif B Muller

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
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  11. Article
  12. Neurobiological Causal Models of Language Processing.Neurobiology of language (Cambridge, Mass.) · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Increased Reliability of Visually-Evoked Activity in Area V1 of the MECP2-Duplication Mouse Model of Autism.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  17. Consciousness is supported by near-critical slow cortical electrodynamics.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
  19. Article
  20. Computational Concepts for Reconstructing and Simulating Brain Tissue.Advances in experimental medicine and biology · 2022
    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

5 authors.

Max NolteBlue Brain Project, École Polytechnique Fédérale de Lausanne, 1202, Geneva, Switzerland. max.nolte@epfl.ch.ORCID http://orcid.org/0000-0002-9452-4926
Michael W ReimannBlue Brain Project, École Polytechnique Fédérale de Lausanne, 1202, Geneva, Switzerland.ORCID http://orcid.org/0000-0003-3455-2367
James G KingBlue Brain Project, École Polytechnique Fédérale de Lausanne, 1202, Geneva, Switzerland.
Henry MarkramBlue Brain Project, École Polytechnique Fédérale de Lausanne, 1202, Geneva, Switzerland.
Eilif B MullerBlue Brain Project, École Polytechnique Fédérale de Lausanne, 1202, Geneva, Switzerland. eilif.mueller@epfl.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Typical responses of cortical neurons to identical sensory stimuli appear highly variable. It has thus been proposed that the cortex primarily uses a rate code. However, other studies have argued for spike-time coding under certain conditions. The potential role of spike-time coding is directly limited by the internally generated variability of cortical circuits, which remains largely unexplored. Here, we quantify this internally generated variability using a biophysical model of rat neocortical microcircuitry with biologically realistic noise sources. We find that stochastic neurotransmitter release is a critical component of internally generated variability, causing rapidly diverging, chaotic recurrent network dynamics. Surprisingly, the same nonlinear recurrent network dynamics can transiently overcome the chaos in response to weak feed-forward thalamocortical inputs, and support reliable spike times with millisecond precision. Our model shows that the noisy and chaotic network dynamics of recurrent cortical microcircuitry are compatible with stimulus-evoked, millisecond spike-time reliability, resolving a long-standing debate.

Indexed as

Models, NeurologicalAction PotentialsAnimalsCerebral CortexNerve NetNeuronsNeurotransmitter AgentsNonlinear DynamicsRatsReproducibility of ResultsSynaptic PotentialsThalamusTime FactorsNeurotransmitter Agents

Identifiers

PMID31439838
PMCPMC6706377

What OpenQuestion holds

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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.