Evidence map›Paper›PMID 42086540›Full record

ArticleNature communications2026

Synaptic high-frequency jumping synchronises vision to high-speed behaviour.

Neveen Mansour, Jouni Takalo, Joni Kemppainen, Alice D Bridges, HaDi MaBouDi, Ali Asgar Bohra, Kaja Anielska, Vera Vasas, Théo Robert, Bruce Yi Bu and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

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

22 authors.

Neveen Mansour *School of Biosciences, University of Sheffield, Sheffield, UK.ORCID 0000-0002-6666-3742
Jouni Takalo *School of Biosciences, University of Sheffield, Sheffield, UK. j.takalo@sheffield.ac.uk.ORCID 0000-0002-1638-0808
Joni KemppainenSchool of Biosciences, University of Sheffield, Sheffield, UK.
Alice D BridgesSchool of Biosciences, University of Sheffield, Sheffield, UK.
HaDi MaBouDiSchool of Biosciences, University of Sheffield, Sheffield, UK.ORCID 0000-0002-7612-6465
Ali Asgar BohraSchool of Biosciences, University of Sheffield, Sheffield, UK.
Kaja AnielskaSchool of Biosciences, University of Sheffield, Sheffield, UK.
Vera VasasSchool of Biosciences, University of Sheffield, Sheffield, UK.ORCID 0000-0001-8538-0206
Théo RobertSchool of Biosciences, University of Sheffield, Sheffield, UK.ORCID 0000-0002-8475-4154
Bruce Yi BuBionet Group, Department of Electrical Engineering, Columbia University, New York, NY, USA.
Shashwat ShuklaBionet Group, Department of Electrical Engineering, Columbia University, New York, NY, USA.
Yiyin ZhouDepartment of Computer and Information Science, Fordham University, New York, NY, USA.ORCID 0000-0003-4618-4039
Maike KittelmannSchool of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK.ORCID 0000-0002-9710-1136
Joke OuwendijkSchool of Biochemistry, University of Bristol, Bristol, UK.
Judith MantellSchool of Biochemistry, University of Bristol, Bristol, UK.
Matthew LawsonEuropean Molecular Biology Laboratory, Hamburg Unit c/o DESY, Hamburg, Germany.ORCID 0000-0003-0115-1698
Gonzalo de PolaviejaChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal.ORCID 0000-0001-5359-3426
Elizabeth DukeEuropean Molecular Biology Laboratory, Hamburg Unit c/o DESY, Hamburg, Germany.
Aurel A LazarBionet Group, Department of Electrical Engineering, Columbia University, New York, NY, USA.ORCID 0000-0003-4261-8709
Paul VerkadeSchool of Biochemistry, University of Bristol, Bristol, UK.ORCID 0000-0002-2497-1026
Lars ChittkaSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.ORCID 0000-0001-8153-1732
Mikko Juusola *School of Biosciences, University of Sheffield, Sheffield, UK. m.juusola@sheffield.ac.uk.ORCID 0000-0002-4428-5330

Funding

Leverhulme Trust RPG-2024-016RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/F012071/1, BB/D001900/1 and BB/H013849/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/P006094/1
6 · The paper itself

Abstract

During high-speed behaviour, animals must synchronise perception and action despite rapid environmental and self-generated motion. How neural systems achieve such precision remains unclear. Here we show how the housefly (Musca domestica) maintains visual accuracy during fast motion. Using intracellular and photomechanical recordings during saccade-like stimulation, we traced information flow from photoreceptors to large monopolar cells (LMCs). Visual neurons achieved record-high information sampling (~2500 bits·s

Indexed as

HousefliesMotion PerceptionSynapsesSynaptic TransmissionVision, OcularAnimalsBehavior, AnimalPhotic StimulationPhotoreceptor Cells, InvertebrateSaccades

Identifiers

PMID42086540
PMCPMC13144400

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.