Evidence map›Paper›PMID 34516844›Full record

ReviewScience (New York, N.Y.)2021

Architectures of neuronal circuits.

Liqun Luo

Abstract readReview
In one paragraph

Review in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers.

0numbers the graph read from it
0cells of the map it votes in
167citing 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

167 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Primary cilia and neural computation.Journal of biomedical science · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Cerebral capillary computation.American journal of physiology. Cell physiology · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Concordant transcriptional and morphological remodeling revealed bybioRxiv : the preprint server for biology · 2026
    Article

107 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

1 author.

Liqun LuoDepartment of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5467-9264

Funding

Assembly of the Central Olfactory Networks in DrosophilaR01DC005982 · NIDCD · STANFORD UNIVERSITY · PI LIQUN LUO · 2003 to 2026
$8.1M
Mosaic Analysis with Double Markers in MiceR01NS050835 · NINDS · STANFORD UNIVERSITY · PI LIQUN LUO · 2005 to 2026
$7.3M
Neuromodulation of Brain StatesR01NS104698 · NINDS · STANFORD UNIVERSITY · PI LUO, LIQUN · 2018 to 2022
$3.3M
Howard Hughes Medical InstituteNIDCD NIH HHS R01 DC005982NINDS NIH HHS R01 NS050835NINDS NIH HHS R01 NS104698
6 · The paper itself

Abstract

Although individual neurons are the basic unit of the nervous system, they process information by working together in neuronal circuits with specific patterns of synaptic connectivity. Here, I review common circuit motifs and architectural plans used in diverse brain regions and animal species. I also consider how these circuit architectures assemble during development and might have evolved. Understanding how specific patterns of synaptic connectivity can implement specific neural computations will help to bridge the huge gap between the biology of the individual neuron and the function of the entire brain, allow us to better understand the neural basis of behavior, and may inspire new advances in artificial intelligence.

Indexed as

Electronic Data ProcessingAnimalsArtificial IntelligenceBrainHumansNerve NetNeuronsSynapses

Identifiers

PMID34516844
PMCPMC8916593

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.