Evidence map›Paper›PMID 42686902›Full record

ArticleNature2026

Connectome analysis of a cerebellum-like circuit for sensory prediction.

Krista E Perks, Mariela D Petkova, Salomon Z Muller, Michael Genecin, Adishree Ghatare, Richard Schalek, Yuelong Wu, Michal Januszewski, Viren Jain, Jeff W Lichtman and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 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
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

12 authors.

Krista E Perks *Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Kavli Institute for Brain Science, Columbia University, New York, NY, USA.
Mariela D Petkova *Center for Brain Science and Department of Molecular and Cellular Biology, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9815-7871
Salomon Z Muller *Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Kavli Institute for Brain Science, Columbia University, New York, NY, USA. szm2106@columbia.edu.ORCID http://orcid.org/0000-0003-2533-3592
Michael GenecinZuckerman Mind Brain Behavior Institute, Department of Neuroscience, Kavli Institute for Brain Science, Columbia University, New York, NY, USA.ORCID http://orcid.org/0009-0006-3931-7752
Adishree GhatareZuckerman Mind Brain Behavior Institute, Department of Neuroscience, Kavli Institute for Brain Science, Columbia University, New York, NY, USA.
Richard SchalekCenter for Brain Science and Department of Molecular and Cellular Biology, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA.
Yuelong WuCenter for Brain Science and Department of Molecular and Cellular Biology, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA.
Michal JanuszewskiGoogle Research, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-3480-2744
Viren JainGoogle Research, Mountain View, CA, USA.ORCID http://orcid.org/0000-0003-1488-3505
Jeff W LichtmanCenter for Brain Science and Department of Molecular and Cellular Biology, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0208-3212
L F AbbottZuckerman Mind Brain Behavior Institute, Department of Neuroscience, Kavli Institute for Brain Science, Columbia University, New York, NY, USA.
Nathaniel B SawtellZuckerman Mind Brain Behavior Institute, Department of Neuroscience, Kavli Institute for Brain Science, Columbia University, New York, NY, USA. ns2635@columbia.edu.ORCID http://orcid.org/0000-0002-1859-8026

Funding

Zooming into the fish's brain-What is really going on! Connectomics analysis of larval zebrafish.U19NS104653 · NINDS · HARVARD UNIVERSITY · PI MARK C FISHMAN · 2017 to 2026
$39.4M
NINDS NIH HHS U19 NS104653
6 · The paper itself

Abstract

Many forms of learning, for example, learning a model of the environment or a motor skill, rely on synaptic plasticity that is widely distributed across cell types and network stages. Understanding how this distributed plasticity functions is a central challenge in neuroscience

Identifiers

PMID42686902

What OpenQuestion holds

Textmetadata
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.