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PsychoPy2: Experiments in behavior made easy

PsychoPy is an application for the creation of experiments in behavioral science (psychology, neuroscience, linguistics, etc.) with precise spatial control and timing of stimuli. It now provides a choice of interface; users can write scripts in Python if they choose, while those who prefer to constr...

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Detalles Bibliográficos
Autores principales: Peirce, Jonathan, Gray, Jeremy R., Simpson, Sol, MacAskill, Michael, Höchenberger, Richard, Sogo, Hiroyuki, Kastman, Erik, Lindeløv, Jonas Kristoffer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420413/
https://www.ncbi.nlm.nih.gov/pubmed/30734206
http://dx.doi.org/10.3758/s13428-018-01193-y
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author Peirce, Jonathan
Gray, Jeremy R.
Simpson, Sol
MacAskill, Michael
Höchenberger, Richard
Sogo, Hiroyuki
Kastman, Erik
Lindeløv, Jonas Kristoffer
author_facet Peirce, Jonathan
Gray, Jeremy R.
Simpson, Sol
MacAskill, Michael
Höchenberger, Richard
Sogo, Hiroyuki
Kastman, Erik
Lindeløv, Jonas Kristoffer
author_sort Peirce, Jonathan
collection PubMed
description PsychoPy is an application for the creation of experiments in behavioral science (psychology, neuroscience, linguistics, etc.) with precise spatial control and timing of stimuli. It now provides a choice of interface; users can write scripts in Python if they choose, while those who prefer to construct experiments graphically can use the new Builder interface. Here we describe the features that have been added over the last 10 years of its development. The most notable addition has been that Builder interface, allowing users to create studies with minimal or no programming, while also allowing the insertion of Python code for maximal flexibility. We also present some of the other new features, including further stimulus options, asynchronous time-stamped hardware polling, and better support for open science and reproducibility. Tens of thousands of users now launch PsychoPy every month, and more than 90 people have contributed to the code. We discuss the current state of the project, as well as plans for the future.
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spelling pubmed-64204132019-04-03 PsychoPy2: Experiments in behavior made easy Peirce, Jonathan Gray, Jeremy R. Simpson, Sol MacAskill, Michael Höchenberger, Richard Sogo, Hiroyuki Kastman, Erik Lindeløv, Jonas Kristoffer Behav Res Methods Article PsychoPy is an application for the creation of experiments in behavioral science (psychology, neuroscience, linguistics, etc.) with precise spatial control and timing of stimuli. It now provides a choice of interface; users can write scripts in Python if they choose, while those who prefer to construct experiments graphically can use the new Builder interface. Here we describe the features that have been added over the last 10 years of its development. The most notable addition has been that Builder interface, allowing users to create studies with minimal or no programming, while also allowing the insertion of Python code for maximal flexibility. We also present some of the other new features, including further stimulus options, asynchronous time-stamped hardware polling, and better support for open science and reproducibility. Tens of thousands of users now launch PsychoPy every month, and more than 90 people have contributed to the code. We discuss the current state of the project, as well as plans for the future. Springer US 2019-02-07 2019 /pmc/articles/PMC6420413/ /pubmed/30734206 http://dx.doi.org/10.3758/s13428-018-01193-y Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Peirce, Jonathan
Gray, Jeremy R.
Simpson, Sol
MacAskill, Michael
Höchenberger, Richard
Sogo, Hiroyuki
Kastman, Erik
Lindeløv, Jonas Kristoffer
PsychoPy2: Experiments in behavior made easy
title PsychoPy2: Experiments in behavior made easy
title_full PsychoPy2: Experiments in behavior made easy
title_fullStr PsychoPy2: Experiments in behavior made easy
title_full_unstemmed PsychoPy2: Experiments in behavior made easy
title_short PsychoPy2: Experiments in behavior made easy
title_sort psychopy2: experiments in behavior made easy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420413/
https://www.ncbi.nlm.nih.gov/pubmed/30734206
http://dx.doi.org/10.3758/s13428-018-01193-y
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