Evidence map›Paper›PMID 40661484›Full record

ArticlebioRxiv : the preprint server for biology2025

Connectivity Is All You Need: Inferring Neuronal Types with NTAC.

Gregory Schwartzman, Ben Jourdan, David García-Soriano, Arie Matsliah

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gregory SchwartzmanJapan Advanced Institute of Science and Technology (JAIST), Japan.
Ben JourdanUniversity of Edinburgh, Edinburgh, United Kingdom.
David García-SorianoUniversitat Politècnica de Catalunya (UPC) & Serra Húnter Fellow, Spain.
Arie MatsliahPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.

Funding

Dissemination of FlyWire, A Whole-Brain Connectomics ResourceU24NS126935 · NINDS · PRINCETON UNIVERSITY · PI Mala Murthy · 2022 to 2026
$5.6M
Crowdsourcing the Fly ConnectomeRF1MH117815 · NIMH · PRINCETON UNIVERSITY · PI MURTHY, MALA, SEUNG, HYUNJUNE SEBASTIAN · 2018 to 2018
$3.3M
Accelerating connectomic proofreading for larger brains and multiple individualsRF1MH129268 · NIMH · PRINCETON UNIVERSITY · PI MURTHY, MALA · 2022 to 2022
$2.1M
NIMH NIH HHS RF1 MH117815NIMH NIH HHS RF1 MH129268NINDS NIH HHS U24 NS126935
6 · The paper itself

Abstract

Recent advances in electron microscopy and computer vision have enabled the mapping of complete wiring diagrams-called connectomes-of brain regions and even entire brains. The emergence of these increasingly large-scale connectomic datasets have intensified the need for efficient and accurate neuronal cell type identification. Traditional approaches rely on labor-intensive analyses of molecular, anatomical, and physiological features. As a step toward fully automated neuronal cell type classification, we present

Identifiers

PMID40661484
PMCPMC12259112

What OpenQuestion holds

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LicenceCC BY
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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.