Evidence map›Paper›PMID 31189590›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Second type of criticality in the brain uncovers rich multiple-neuron dynamics.

David Dahmen, Sonja Grün, Markus Diesmann, Moritz Helias

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Emergent critical oscillations in motor cortex of Parkinson's patients.bioRxiv : the preprint server for biology · 2026
    Article
  4. Online supervised learning of temporal patterns in biological neural networks under feedback control.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The cortical critical power law balances energy and information in an optimal fashion.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Measurement effects on critical scaling in neural systems.Frontiers in computational neuroscience · 2025
    Article
  15. Article
  16. 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
  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

4 authors at 1 institution in 1 country.

David DahmenInstitute of Neuroscience and Medicine (INM-6), Jülich Research Centre, 52425 Jülich, Germany; d.dahmen@fz-juelich.de.ORCID 0000-0002-7664-916X
Sonja GrünInstitute of Neuroscience and Medicine (INM-6), Jülich Research Centre, 52425 Jülich, Germany.ORCID 0000-0003-2829-2220
Markus DiesmannInstitute of Neuroscience and Medicine (INM-6), Jülich Research Centre, 52425 Jülich, Germany.
Moritz HeliasInstitute of Neuroscience and Medicine (INM-6), Jülich Research Centre, 52425 Jülich, Germany.
Forschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cortical networks that have been found to operate close to a critical point exhibit joint activations of large numbers of neurons. However, in motor cortex of the awake macaque monkey, we observe very different dynamics: massively parallel recordings of 155 single-neuron spiking activities show weak fluctuations on the population level. This a priori suggests that motor cortex operates in a noncritical regime, which in models, has been found to be suboptimal for computational performance. However, here, we show the opposite: The large dispersion of correlations across neurons is the signature of a second critical regime. This regime exhibits a rich dynamical repertoire hidden from macroscopic brain signals but essential for high performance in such concepts as reservoir computing. An analytical link between the eigenvalue spectrum of the dynamics, the heterogeneity of connectivity, and the dispersion of correlations allows us to assess the closeness to the critical point.

Indexed as

Models, NeurologicalAction PotentialsAnalysis of VarianceAnimalsComputer SimulationFeedback, SensoryMacacaModels, AnimalMotor CortexNerve NetNeuronsSoftwareUncertaintyWakefulnessbalanced statecorrelated neural activitycortical dynamicscriticality

Identifiers

PMID31189590
PMCPMC6600928
OpenAlexW2773966064

What OpenQuestion holds

Textmetadata
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.