Evidence map›Paper›PMID 40205211›Full record

ArticleNature2025

Functional connectomics reveals general wiring rule in mouse visual cortex.

Zhuokun Ding, Paul G Fahey, Stelios Papadopoulos, Eric Y Wang, Brendan Celii, Christos Papadopoulos, Andersen Chang, Alexander B Kunin, Dat Tran, Jiakun Fu and 53 more

Abstract read
In one paragraph

Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Review
  2. Tuft Dendrite Spikes Are Accompanied by Selective Input From Distinct Functional Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Approaching a connectome of the human foveal retina.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Deviance detection via competitive inhibition between local neocortical ensembles.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Input-dependent directionality of interactions between cortical areas.bioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

63 authors.

Zhuokun Ding *Center for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-8610-5182
Paul G Fahey *Center for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Stelios Papadopoulos *Center for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Eric Y WangCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-1084-7059
Brendan CeliiCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Christos PapadopoulosCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0009-0008-0669-7968
Andersen ChangCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Alexander B KuninCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0003-1949-9457
Dat TranCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Jiakun FuCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Zhiwei DingCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Saumil PatelCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Lydia NtanavaraCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0009-0004-9158-8408
Rachel FroebeCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0009-0004-0260-9036
Kayla PonderCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Taliah MuhammadCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
J Alexander BaePrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Agnes L BodorAllen Institute for Brain Science, Seattle, WA, USA.
Derrick BrittainAllen Institute for Brain Science, Seattle, WA, USA.
JoAnn BuchananAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-4212-5560
Daniel J BumbargerAllen Institute for Brain Science, Seattle, WA, USA.
Manuel A CastroPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Erick CobosCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Sven DorkenwaldPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Leila ElabbadyAllen Institute for Brain Science, Seattle, WA, USA.
Akhilesh HalageriPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Zhen JiaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Chris JordanPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Dan KapnerAllen Institute for Brain Science, Seattle, WA, USA.
Nico KemnitzPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-0260-4532
Sam KinnAllen Institute for Brain Science, Seattle, WA, USA.
Kisuk LeePrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Kai LiComputer Science Department, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-2095-7024
Ran LuPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Thomas MacrinaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Gayathri MahalingamAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0003-3718-5013
Eric MitchellPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-7487-1744
Shanka Subhra MondalPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID 0000-0003-1252-0129
Shang MuPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Barak NehoranPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID 0000-0001-7371-0829
Sergiy PopovychPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Casey M Schneider-MizellAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-9477-3853
William SilversmithPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Marc TakenoAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-8384-7500
Russel TorresAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-2876-4382
Nicholas L TurnerPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
William WongPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Jingpeng WuPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Wenjing YinAllen Institute for Brain Science, Seattle, WA, USA.
Szi-Chieh YuPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID 0009-0001-9684-0156
Dimitri YatsenkoCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-1844-641X
Emmanouil FroudarakisCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
Fabian SinzCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-1348-9736
Krešimir JosićDepartments of Mathematics, Biology and Biochemistry, University of Houston, Houston, TX, USA.
Robert RosenbaumDepartments of Applied and Computational Mathematics and Statistics and Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.ORCID 0000-0003-2105-9282
H Sebastian SeungPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-8591-6733
Forrest CollmanAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-0280-7022
Nuno Maçarico da CostaAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0003-2001-4568
R Clay ReidAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-8697-6797
Edgar Y WalkerDepartment of Neurobiology and Biophysics, University of Washington, Seattle, WA, USA.
Xaq PitkowCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0001-6376-329X
Jacob ReimerCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA. reimer@bcm.edu.ORCID 0000-0003-4364-8846
Andreas S ToliasCenter for Neuroscience and Artificial Intelligence and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA. tolias@stanford.edu.ORCID 0000-0002-4305-6376

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI NGAI, JOHN J. · 2017 to 2021
$64.7M
TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8M
Probabilistic coding in cortical populationsR01EY026927 · NEI · BAYLOR COLLEGE OF MEDICINE · PI MA, WEI JI, TOLIAS, ANDREAS · 2017 to 2021
$1.9M
Anatomical connectivity and activity in primary visual cortex of mouseRF1MH130416 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI PITKOW, ZACHARY SAMUEL, REIMER, JACOB · 2022 to 2022
$1.3M
NEI NIH HHS P30 EY002520NEI NIH HHS R01 EY026927NIMH NIH HHS RF1 MH130416NIMH NIH HHS U19 MH114830NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

Understanding the relationship between circuit connectivity and function is crucial for uncovering how the brain computes. In mouse primary visual cortex, excitatory neurons with similar response properties are more likely to be synaptically connected

Indexed as

ConnectomePrimary Visual CortexVisual CortexAnimalsAxonsDendritesFemaleMaleMiceModels, NeurologicalNeural Networks, ComputerNeuronsSynapses

Identifiers

PMID40205211
PMCPMC11981947

What OpenQuestion holds

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Registered trials

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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.