In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
26 authors.
Simone EbertHertie Institute for Artificial Intelligence in Brain Health, University of Tübingen, Tübingen, Germany.ORCID 0009-0008-9071-4467 Julia FadjukovDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID 0000-0002-0530-5183 Jan LauseHertie Institute for Artificial Intelligence in Brain Health, University of Tübingen, Tübingen, Germany.ORCID 0000-0003-0946-412X Jonathan OesterleHertie Institute for Artificial Intelligence in Brain Health, University of Tübingen, Tübingen, Germany.ORCID 0000-0001-8919-1445 Ziwei HuangHertie Institute for Artificial Intelligence in Brain Health, University of Tübingen, Tübingen, Germany.ORCID 0000-0001-7517-0395 Ran LuPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Venus SherathiyaDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Timm SchubertInstitute of Ophthalmic Research, University of Tübingen, Tübingen, Germany.
Nikitas SerafetinidisEyewire Citizen Scientist Community.
Yoshihiko TsukamotoDepartment of Biology, Hyogo Medical University, Mukogawa, Nishinomiya, Hyogo, Japan.ORCID 0009-0001-2560-7832 Hiromi MaeyamaStudio EM-Retina, Satonaka, Nishinomiya, Hyogo, Japan.
Naoko OmiStudio EM-Retina, Satonaka, Nishinomiya, Hyogo, Japan.
Gregory SchwartzDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID 0000-0001-8909-4397 Philipp BerensHertie Institute for Artificial Intelligence in Brain Health, University of Tübingen, Tübingen, Germany.ORCID 0000-0002-0199-4727 Eyewire II Consortium
Funding
Circuit Mechanisms Underlying Persistent Activity in a Neural IntegratorR01EY027036 · NEI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Emre R Aksay, MARK S GOLDMAN · 2016 to 2026
$6.4MCircuit Mechanisms Underlying Learned Changes in Persistent Neural ActivityR01NS104926 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI AKSAY, EMRE R, GOLDMAN, MARK S · 2018 to 2022
$4.1MVertically integrated approach to visual neuroscience: microcircuits to behaviorU01NS090562 · NINDS · PRINCETON UNIVERSITY · PI EULER, THOMAS, HUBERMAN, ANDREW D · 2014 to 2016
$3.6MMultimodal classification and sub-cellular compartmentalization of displaced amacrine cells in the mouse retinaR01EY036978 · NEI · NORTHWESTERN UNIVERSITY · PI Gregory William Schwartz · 2025 to 2026
$1.1MRetinal connectome: mobile game and crowdsourcing algorithms for EyeWire IIUH2CA203710 · NCI · PRINCETON UNIVERSITY · PI SEUNG, HYUNJUNE SEBASTIAN · 2016 to 2017
$642kNCI NIH HHS UH2 CA203710NEI NIH HHS R01 EY027036NEI NIH HHS R01 EY036978NINDS NIH HHS R01 NS104926NINDS NIH HHS U01 NS090562
6 · The paper itselfAbstract
Comprehensive wiring diagrams from electron microscopy (EM) are a powerful tool to understand the inner workings of the brain. The retina is an easily accessible part of the brain that performs complex visual computations. Its thin, layered structure offers a unique opportunity to decipher neural cell types and map their connectivity. A major obstacle has been the limited size of existing retinal EM datasets, which could not resolve rare cell types and neurons with large dendritic arbors. Here, we describe Eyewire II, a large-scale EM dataset covering nearly 1 mm
Indexed as
calcium imagingcommunity resourceconnectomeelectron microscopymachine learningmorphological cell typingmouseretina
Identifiers
PMID42282520
PMCPMC13252113
What Socratic holds
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