Evidence map›Paper›PMID 41611678›Full record

ArticleNature communications2026

A heterogeneous population code at the first synapse of vision.

Tessa Herzog, Takeshi Yoshimatsu, Jose Moya-Diaz, Ben James, Leon Lagnado, Tom Baden

Abstract read
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Imprecision in Vision: Lessons From Neural Circuits in the Fly.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Article
  3. Article
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

6 authors.

Tessa HerzogSchool of Life Sciences, University of Sussex, Brighton, UK. T.Herzog@sussex.ac.uk.ORCID 0000-0002-1252-5432
Takeshi YoshimatsuSchool of Life Sciences, University of Sussex, Brighton, UK.ORCID 0000-0002-4939-2020
Jose Moya-DiazSchool of Life Sciences, University of Sussex, Brighton, UK.
Ben JamesSchool of Life Sciences, University of Sussex, Brighton, UK.
Leon Lagnado *School of Life Sciences, University of Sussex, Brighton, UK. L.lagnado@sussex.ac.uk.ORCID 0000-0002-1098-8839
Tom Baden *School of Life Sciences, University of Sussex, Brighton, UK. t.baden@sussex.ac.uk.ORCID 0000-0003-2808-4210

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) Cones4ActionEC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) NeuroVisEco 677687Leverhulme Trust and RPG-2-23-042Leverhulme Trust DS-2017-011Leverhulme Trust PLP-2017-005Leverhulme Trust RPG-2021-026Lister Institute of Preventive Medicine FellowshipRCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R014817/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/W013509/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/X020053/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/Y001656/1Wellcome Trust (Wellcome) 220277/Z20/ZWellcome Trust (Wellcome) 221936/Z/20/Z
6 · The paper itself

Abstract

Vision begins when photoreceptors convert fluctuations in light intensity into temporal patterns of glutamate release that drive the retinal network. The input-output relation at this first stage has not been studied in vivo so it is not known how it operates across a photoreceptor population. Using glutamate imaging in zebrafish, we find that individual type 1 cones (PR1; ancestral red cones), which dominate daylight vision in non-avian vertebrates, encode visual stimuli with high reliability and time-precision but routinely vary in sensitivity to luminance, contrast and frequency across the population. Variations in input-output relations are generated by feedback from the horizontal cell network that effectively decorrelate feature representation. A model capturing how zebrafish sample their visual environment indicates that heterogenous cone outputs expand the dynamic range of the retina to improve the coding of natural scenes. Moreover, we find that different kinetic release components are used to encode distinct stimulus features in parallel: sustained release linearly encodes low amplitude light and dark contrasts, but transient release encodes large amplitude dark contrasts. This study reveals an unexpected degree of functional heterogeneity within a population of cones and illustrates how separation of different visual features begins in the first synapse in vision.

Indexed as

Retinal Cone Photoreceptor CellsSynapsesVision, OcularAnimalsGlutamic AcidLightPhotic StimulationRetinaZebrafishGlutamic Acid

Identifiers

PMID41611678
PMCPMC12960968

What OpenQuestion holds

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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.