Evidence map›Paper›PMID 41252150›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Building the connectome of a small brain with a simple stochastic developmental generative model.

Oren Richter, Elad Schneidman

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

2 authors.

Oren RichterDepartment of Brain Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0009-0002-9835-567X
Elad SchneidmanDepartment of Brain Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0001-8653-9848

Funding

Israel Science Foundation (ISF) 137628Simons Foundation (SF) 542997
6 · The paper itself

Abstract

The architectures of biological neural networks result from developmental processes shaped by genetically encoded rules, biophysical constraints, stochasticity, and learning. Understanding these processes is crucial for comprehending neural circuits' structure and function. The ability to reconstruct neural circuits, and even entire nervous systems, at the neuron and synapse level, facilitates the study of the design principles of neural systems and their developmental plan. Here, we investigate the developing connectome of

Indexed as

BrainCaenorhabditis elegansConnectomeModels, NeurologicalNerve NetAnimalsNeuronsStochastic ProcessesSynapsesconnectomesgenerative modelsindividual differencesneural circuitsneurodevelopment

Identifiers

PMID41252150
PMCPMC12664000

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.