Evidence map›Paper›PMID 31601510›Full record

ArticleNeuron2019

Cortical Circuit Dynamics Are Homeostatically Tuned to Criticality In Vivo.

Zhengyu Ma, Gina G Turrigiano, Ralf Wessel, Keith B Hengen

Abstract read
In one paragraph

Article in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 1 pooled it
–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

139 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Critical Dynamics in the Association Cortex Predict Higher Intelligence in Typically Developing Children.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  11. Review
  12. A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Proximity to explosive synchronization determines network collapse and recovery trajectories in neural and economic crises.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Zhengyu MaDepartment of Physics, Washington University in St. Louis, St. Louis, MO 63130, USA.
Gina G TurrigianoDepartment of Biology, Brandeis University, Waltham, MA 02453, USA.
Ralf WesselDepartment of Physics, Washington University in St. Louis, St. Louis, MO 63130, USA.
Keith B HengenDepartment of Biology, Washington University in St. Louis, St. Louis, MO 63130, USA. Electronic address: khengen@wustl.edu.

Funding

Mechanisms and Function of Firing Rate Homeostasis in Cortical CircuitsR35NS111562 · NINDS · BRANDEIS UNIVERSITY · PI GINA G TURRIGIANO · 2019 to 2026
$7.3M
Gating of Firing Rate Homeostasis by Sleep and Wake States During Experience-Dependent PlasticityR01EY025613 · NEI · BRANDEIS UNIVERSITY · PI TURRIGIANO, GINA G · 2017 to 2025
$3.9M
Homeostatic Plasticity Mechanisms Support Brain Function in VivoR00NS089800 · NINDS · WASHINGTON UNIVERSITY · PI HENGEN, KEITH B. · 2017 to 2019
$747k
NEI NIH HHS R01 EY025613NINDS NIH HHS R00 NS089800NINDS NIH HHS R35 NS111562
6 · The paper itself

Abstract

Homeostatic mechanisms stabilize neuronal activity in vivo, but whether this process gives rise to balanced network dynamics is unknown. Here, we continuously monitored the statistics of network spiking in visual cortical circuits in freely behaving rats for 9 days. Under control conditions in light and dark, networks were robustly organized around criticality, a regime that maximizes information capacity and transmission. When input was perturbed by visual deprivation, network criticality was severely disrupted and subsequently restored to criticality over 48 h. Unexpectedly, the recovery of excitatory dynamics preceded homeostatic plasticity of firing rates by >30 h. We utilized model investigations to manipulate firing rate homeostasis in a cell-type-specific manner at the onset of visual deprivation. Our results suggest that criticality in excitatory networks is established by inhibitory plasticity and architecture. These data establish that criticality is consistent with a homeostatic set point for visual cortical dynamics and suggest a key role for homeostatic regulation of inhibition.

Indexed as

Models, NeurologicalAnimalsHomeostasisNerve NetNeural InhibitionNeuronal PlasticityRatsVisual Cortexcomputationcortexcriticalitydynamicshomeostasishomeostatic plasticitymodelingvisual cortex

Identifiers

PMID31601510
PMCPMC6934140

What OpenQuestion holds

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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.