Evidence map›Paper›PMID 36058250›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2022

Exploiting colour space geometry for visual stimulus design across animals.

Matthias P Christenson, S Navid Mousavi, Elie Oriol, Sarah L Heath, Rudy Behnia

Open access · hybridAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 43% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Minimal Mimics and Maps of Natural Light for Mammals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  2. Article
  3. Article
  4. High diversity of arthropod colour vision: from genes to ecology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  5. Exploiting colour space geometry for visual stimulus design across animals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    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

5 authors at 2 institutions in 2 countries.

Matthias P ChristensonZuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA.ORCID 0000-0003-4858-6541
S Navid MousaviZuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA.ORCID 0000-0001-9201-209X
Elie OriolLaboratoire de Physique de l'Ecole Normale Supérieure, CNRS, Ecole Normale Supérieure, PSL University, Sorbonne Université, Université de Paris, Paris, France.
Sarah L HeathZuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA.
Rudy BehniaZuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA.ORCID 0000-0001-7258-1885
Columbia University · USCentre National de la Recherche Scientifique · FR

Funding

Neural circuit mechanisms for color visionR01EY029311 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BEHNIA, ROUDABEH · 2018 to 2022
$2.0M
Spectral and spatial processing of wavelength information in the Drosophila visual systemF31EY030319 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HEATH, SARAH L · 2019 to 2020
$91k
NEI NIH HHS F31 EY030319NEI NIH HHS R01 EY029311
6 · The paper itself

Abstract

Colour vision represents a vital aspect of perception that ultimately enables a wide variety of species to thrive in the natural world. However, unified methods for constructing chromatic visual stimuli in a laboratory setting are lacking. Here, we present stimulus design methods and an accompanying programming package to efficiently probe the colour space of any species in which the photoreceptor spectral sensitivities are known. Our hardware-agnostic approach incorporates photoreceptor models within the framework of the principle of univariance. This enables experimenters to identify the most effective way to combine multiple light sources to create desired distributions of light, and thus easily construct relevant stimuli for mapping the colour space of an organism. We include methodology to handle uncertainty of photoreceptor spectral sensitivity as well as to optimally reconstruct hyperspectral images given recent hardware advances. Our methods support broad applications in colour vision science and provide a framework for uniform stimulus designs across experimental systems. This article is part of the theme issue 'Understanding colour vision: molecular, physiological, neuronal and behavioural studies in arthropods'.

Indexed as

Color PerceptionColor VisionAnimalsColorcolour managementcolour spacecolour visionnonlinear optimizationPythonunivariance

Identifiers

PMID36058250
PMCPMC9441238
OpenAlexW4294668627

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.