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PsychoPy2: Experiments in behavior made easy.
Peirce, Jonathan; Gray, Jeremy R; Simpson, Sol; MacAskill, Michael; Höchenberger, Richard; Sogo, Hiroyuki; Kastman, Erik; Lindeløv, Jonas Kristoffer.
Afiliación
  • Peirce J; School of Psychology, University of Nottingham, Nottingham, UK. jonathan.peirce@nottingham.ac.uk.
  • Gray JR; Knack, Inc., Okemos, MI, USA.
  • Simpson S; iSolver Software Solutions, Osgoode, Ontario, Canada.
  • MacAskill M; Department of Medicine, University of Otago, Christchurch, New Zealand.
  • Höchenberger R; New Zealand Brain Research Institute, Christchurch, New Zealand.
  • Sogo H; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.
  • Kastman E; Faculty of Law and Letters, Ehime University, Matsuyama, Ehime, Japan.
  • Lindeløv JK; Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, USA.
Behav Res Methods ; 51(1): 195-203, 2019 02.
Article en En | MEDLINE | ID: mdl-30734206
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Programas Informáticos / Investigación Conductal Límite: Humans Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Programas Informáticos / Investigación Conductal Límite: Humans Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2019 Tipo del documento: Article