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Creating and controlling visual environments using BonVision
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8104957/ https://www.ncbi.nlm.nih.gov/pubmed/33880991 http://dx.doi.org/10.7554/eLife.65541 |
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author | Lopes, Gonçalo Farrell, Karolina Horrocks, Edward AB Lee, Chi-Yu Morimoto, Mai M Muzzu, Tomaso Papanikolaou, Amalia Rodrigues, Fabio R Wheatcroft, Thomas Zucca, Stefano Solomon, Samuel G Saleem, Aman B |
author_facet | Lopes, Gonçalo Farrell, Karolina Horrocks, Edward AB Lee, Chi-Yu Morimoto, Mai M Muzzu, Tomaso Papanikolaou, Amalia Rodrigues, Fabio R Wheatcroft, Thomas Zucca, Stefano Solomon, Samuel G Saleem, Aman B |
author_sort | Lopes, Gonçalo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8104957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-81049572021-05-11 Creating and controlling visual environments using BonVision Lopes, Gonçalo Farrell, Karolina Horrocks, Edward AB Lee, Chi-Yu Morimoto, Mai M Muzzu, Tomaso Papanikolaou, Amalia Rodrigues, Fabio R Wheatcroft, Thomas Zucca, Stefano Solomon, Samuel G Saleem, Aman B eLife Neuroscience 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. eLife Sciences Publications, Ltd 2021-04-21 /pmc/articles/PMC8104957/ /pubmed/33880991 http://dx.doi.org/10.7554/eLife.65541 Text en © 2021, Lopes et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Lopes, Gonçalo Farrell, Karolina Horrocks, Edward AB Lee, Chi-Yu Morimoto, Mai M Muzzu, Tomaso Papanikolaou, Amalia Rodrigues, Fabio R Wheatcroft, Thomas Zucca, Stefano Solomon, Samuel G Saleem, Aman B Creating and controlling visual environments using BonVision |
title | Creating and controlling visual environments using BonVision |
title_full | Creating and controlling visual environments using BonVision |
title_fullStr | Creating and controlling visual environments using BonVision |
title_full_unstemmed | Creating and controlling visual environments using BonVision |
title_short | Creating and controlling visual environments using BonVision |
title_sort | creating and controlling visual environments using bonvision |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8104957/ https://www.ncbi.nlm.nih.gov/pubmed/33880991 http://dx.doi.org/10.7554/eLife.65541 |
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