Cargando…

Vision Egg: an Open-Source Library for Realtime Visual Stimulus Generation

Modern computer hardware makes it possible to produce visual stimuli in ways not previously possible. Arbitrary scenes, from traditional sinusoidal gratings to naturalistic 3D scenes can now be specified on a frame-by-frame basis in realtime. A programming library called the Vision Egg that aims to...

Descripción completa

Detalles Bibliográficos
Autor principal: Straw, Andrew D.
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2584775/
https://www.ncbi.nlm.nih.gov/pubmed/19050754
http://dx.doi.org/10.3389/neuro.11.004.2008
_version_ 1782160818755862528
author Straw, Andrew D.
author_facet Straw, Andrew D.
author_sort Straw, Andrew D.
collection PubMed
description Modern computer hardware makes it possible to produce visual stimuli in ways not previously possible. Arbitrary scenes, from traditional sinusoidal gratings to naturalistic 3D scenes can now be specified on a frame-by-frame basis in realtime. A programming library called the Vision Egg that aims to make it easy to take advantage of these innovations. The Vision Egg is a free, open-source library making use of OpenGL and written in the high-level language Python with extensions in C. Careful attention has been paid to the issues of luminance and temporal calibration, and several interfacing techniques to input devices such as mice, movement tracking systems, and digital triggers are discussed. Together, these make the Vision Egg suitable for many psychophysical, electrophysiological, and behavioral experiments. This software is available for free download at visionegg.org.
format Text
id pubmed-2584775
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher Frontiers Research Foundation
record_format MEDLINE/PubMed
spelling pubmed-25847752009-01-07 Vision Egg: an Open-Source Library for Realtime Visual Stimulus Generation Straw, Andrew D. Front Neuroinformatics Neuroscience Modern computer hardware makes it possible to produce visual stimuli in ways not previously possible. Arbitrary scenes, from traditional sinusoidal gratings to naturalistic 3D scenes can now be specified on a frame-by-frame basis in realtime. A programming library called the Vision Egg that aims to make it easy to take advantage of these innovations. The Vision Egg is a free, open-source library making use of OpenGL and written in the high-level language Python with extensions in C. Careful attention has been paid to the issues of luminance and temporal calibration, and several interfacing techniques to input devices such as mice, movement tracking systems, and digital triggers are discussed. Together, these make the Vision Egg suitable for many psychophysical, electrophysiological, and behavioral experiments. This software is available for free download at visionegg.org. Frontiers Research Foundation 2008-11-04 /pmc/articles/PMC2584775/ /pubmed/19050754 http://dx.doi.org/10.3389/neuro.11.004.2008 Text en Copyright © 2008 Straw. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Neuroscience
Straw, Andrew D.
Vision Egg: an Open-Source Library for Realtime Visual Stimulus Generation
title Vision Egg: an Open-Source Library for Realtime Visual Stimulus Generation
title_full Vision Egg: an Open-Source Library for Realtime Visual Stimulus Generation
title_fullStr Vision Egg: an Open-Source Library for Realtime Visual Stimulus Generation
title_full_unstemmed Vision Egg: an Open-Source Library for Realtime Visual Stimulus Generation
title_short Vision Egg: an Open-Source Library for Realtime Visual Stimulus Generation
title_sort vision egg: an open-source library for realtime visual stimulus generation
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2584775/
https://www.ncbi.nlm.nih.gov/pubmed/19050754
http://dx.doi.org/10.3389/neuro.11.004.2008
work_keys_str_mv AT strawandrewd visionegganopensourcelibraryforrealtimevisualstimulusgeneration