Evidence map›Paper›PMID 33880991›Full record

ArticleeLife2021

Creating and controlling visual environments using BonVision.

Gonçalo Lopes, Karolina Farrell, Edward Ab Horrocks, Chi-Yu Lee, Mai M Morimoto, Tomaso Muzzu, Amalia Papanikolaou, Fabio R Rodrigues, Thomas Wheatcroft, Stefano Zucca and 2 more

Abstract readVideo-Audio Media
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Ambient Light Impacts Innate Behaviors of New-World and Old-World Mice.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Mesolimbic dopamine ramps reflect environmental timescales.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Innate face-selectivity in the brain of young domestic chicks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. 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

12 authors.

Gonçalo LopesNeuroGEARS Ltd., London, United Kingdom.ORCID 0000-0003-0731-4945
Karolina FarrellUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0002-0707-2838
Edward Ab HorrocksUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0003-4019-5351
Chi-Yu LeeUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0001-6440-3050
Mai M MorimotoUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0002-9654-3960
Tomaso MuzzuUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0002-0018-8416
Amalia PapanikolaouUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0002-0048-6560
Fabio R RodriguesUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0002-4848-7167
Thomas WheatcroftUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0001-7990-3744
Stefano ZuccaUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0002-8891-1225
Samuel G Solomon *UCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0001-5321-0288
Aman B Saleem *UCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.ORCID 0000-0002-7100-1954

Funding

Biotechnology and Biological Sciences Research Council R004765Medical Research Council MR/R023808/1Medical Research Council R023808Wellcome Trust 200501/Z/16/AWellcome Trust 200501/Z/16/Z
6 · The paper itself

Abstract

Real-time rendering of closed-loop visual environments is important for next-generation understanding of brain function and behaviour, but is often prohibitively difficult for non-experts to implement and is limited to few laboratories worldwide. We developed BonVision as an easy-to-use open-source software for the display of virtual or augmented reality, as well as standard visual stimuli. BonVision has been tested on humans and mice, and is capable of supporting new experimental designs in other animal models of vision. As the architecture is based on the open-source Bonsai graphical programming language, BonVision benefits from native integration with experimental hardware. BonVision therefore enables easy implementation of closed-loop experiments, including real-time interaction with deep neural networks, and communication with behavioural and physiological measurement and manipulation devices.

Indexed as

Augmented RealityBehavior, AnimalPhotic StimulationSoftware DesignVisual PerceptionAnimalsComputer GraphicsHumansMaleMiceMice, Inbred C57BLProgramming LanguagesTime FactorsVisual PathwaysWorkflowaugmented realityhumanmousenavigationneuroscienceratspatial visionvirtual realityzebrafish

Identifiers

PMID33880991
PMCPMC8104957

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.