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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Behavior Research Methods 2019-02, Vol.51 (1), p.195-203
Hauptverfasser: Peirce, Jonathan, Gray, Jeremy R., Simpson, Sol, MacAskill, Michael, Höchenberger, Richard, Sogo, Hiroyuki, Kastman, Erik, Lindeløv, Jonas Kristoffer
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 203
container_issue 1
container_start_page 195
container_title Behavior Research Methods
container_volume 51
creator Peirce, Jonathan
Gray, Jeremy R.
Simpson, Sol
MacAskill, Michael
Höchenberger, Richard
Sogo, Hiroyuki
Kastman, Erik
Lindeløv, Jonas Kristoffer
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.
doi_str_mv 10.3758/s13428-018-01193-y
format Article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6420413</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A714174341</galeid><sourcerecordid>A714174341</sourcerecordid><originalsourceid>FETCH-LOGICAL-c590t-4084e8c147a65453af6969418e817e704d36dd2320e151cc69e7df6599a2aa353</originalsourceid><addsrcrecordid>eNp9UU1P3DAUtKoiPpb-gR5QpF56IODnrzg9ICEEbSUkONCzZZyXXaMkXuzdVfPv8TYUaA_IsvzkNzOe5yHkM9ATXkl9moALpksK2w01L8cPZB-kFCWXTH98U--Rg5QeKOWagdgle5xWmUrVPjm-TaNbhNuRfSsufy8x-h6HVSr8UNzjwm58iEVvGyzQpvGQ7LS2S_jp-ZyRX1eXdxc_yuub7z8vzq9LJ2u6KgXVArUDUVklheS2VbWqBWjUUGFFRcNV0zDOKIIE51SNVdMqWdeWWcsln5GzSXe5vu-xcdlRtJ1ZZnM2jiZYb_7tDH5h5mFjVB5KAM8CX58FYnhcY1qZ3ieHXWcHDOtkWP4tUIIzkaFf_oM-hHUc8nhbFGilaL0VPJlQc9uh8UMb8rsurwZ778KArc_35xUIqATPFmaETQQXQ0oR2xf3QM02PTOlZ3J65k96Zsyko7dzv1D-xpUBfAKk3BrmGF_NviP7BPS9o3Y</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2191866093</pqid></control><display><type>article</type><title>PsychoPy2: Experiments in behavior made easy</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Peirce, Jonathan ; Gray, Jeremy R. ; Simpson, Sol ; MacAskill, Michael ; Höchenberger, Richard ; Sogo, Hiroyuki ; Kastman, Erik ; Lindeløv, Jonas Kristoffer</creator><creatorcontrib>Peirce, Jonathan ; Gray, Jeremy R. ; Simpson, Sol ; MacAskill, Michael ; Höchenberger, Richard ; Sogo, Hiroyuki ; Kastman, Erik ; Lindeløv, Jonas Kristoffer</creatorcontrib><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.</description><identifier>ISSN: 1554-3528</identifier><identifier>ISSN: 1554-351X</identifier><identifier>EISSN: 1554-3528</identifier><identifier>DOI: 10.3758/s13428-018-01193-y</identifier><identifier>PMID: 30734206</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Behavioral Research - methods ; Behavioral Science and Psychology ; Cognitive Psychology ; Experiments ; Humans ; Nervous system ; Neurosciences ; Psychology ; Reproducibility ; Reproducibility of Results ; Software ; User-Computer Interface</subject><ispartof>Behavior Research Methods, 2019-02, Vol.51 (1), p.195-203</ispartof><rights>The Author(s) 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Copyright Springer Nature B.V. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c590t-4084e8c147a65453af6969418e817e704d36dd2320e151cc69e7df6599a2aa353</citedby><cites>FETCH-LOGICAL-c590t-4084e8c147a65453af6969418e817e704d36dd2320e151cc69e7df6599a2aa353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.3758/s13428-018-01193-y$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.3758/s13428-018-01193-y$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30734206$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peirce, Jonathan</creatorcontrib><creatorcontrib>Gray, Jeremy R.</creatorcontrib><creatorcontrib>Simpson, Sol</creatorcontrib><creatorcontrib>MacAskill, Michael</creatorcontrib><creatorcontrib>Höchenberger, Richard</creatorcontrib><creatorcontrib>Sogo, Hiroyuki</creatorcontrib><creatorcontrib>Kastman, Erik</creatorcontrib><creatorcontrib>Lindeløv, Jonas Kristoffer</creatorcontrib><title>PsychoPy2: Experiments in behavior made easy</title><title>Behavior Research Methods</title><addtitle>Behav Res</addtitle><addtitle>Behav Res Methods</addtitle><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.</description><subject>Behavioral Research - methods</subject><subject>Behavioral Science and Psychology</subject><subject>Cognitive Psychology</subject><subject>Experiments</subject><subject>Humans</subject><subject>Nervous system</subject><subject>Neurosciences</subject><subject>Psychology</subject><subject>Reproducibility</subject><subject>Reproducibility of Results</subject><subject>Software</subject><subject>User-Computer Interface</subject><issn>1554-3528</issn><issn>1554-351X</issn><issn>1554-3528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9UU1P3DAUtKoiPpb-gR5QpF56IODnrzg9ICEEbSUkONCzZZyXXaMkXuzdVfPv8TYUaA_IsvzkNzOe5yHkM9ATXkl9moALpksK2w01L8cPZB-kFCWXTH98U--Rg5QeKOWagdgle5xWmUrVPjm-TaNbhNuRfSsufy8x-h6HVSr8UNzjwm58iEVvGyzQpvGQ7LS2S_jp-ZyRX1eXdxc_yuub7z8vzq9LJ2u6KgXVArUDUVklheS2VbWqBWjUUGFFRcNV0zDOKIIE51SNVdMqWdeWWcsln5GzSXe5vu-xcdlRtJ1ZZnM2jiZYb_7tDH5h5mFjVB5KAM8CX58FYnhcY1qZ3ieHXWcHDOtkWP4tUIIzkaFf_oM-hHUc8nhbFGilaL0VPJlQc9uh8UMb8rsurwZ778KArc_35xUIqATPFmaETQQXQ0oR2xf3QM02PTOlZ3J65k96Zsyko7dzv1D-xpUBfAKk3BrmGF_NviP7BPS9o3Y</recordid><startdate>20190215</startdate><enddate>20190215</enddate><creator>Peirce, Jonathan</creator><creator>Gray, Jeremy R.</creator><creator>Simpson, Sol</creator><creator>MacAskill, Michael</creator><creator>Höchenberger, Richard</creator><creator>Sogo, Hiroyuki</creator><creator>Kastman, Erik</creator><creator>Lindeløv, Jonas Kristoffer</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>4T-</scope><scope>7TK</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190215</creationdate><title>PsychoPy2: Experiments in behavior made easy</title><author>Peirce, Jonathan ; Gray, Jeremy R. ; Simpson, Sol ; MacAskill, Michael ; Höchenberger, Richard ; Sogo, Hiroyuki ; Kastman, Erik ; Lindeløv, Jonas Kristoffer</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c590t-4084e8c147a65453af6969418e817e704d36dd2320e151cc69e7df6599a2aa353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Behavioral Research - methods</topic><topic>Behavioral Science and Psychology</topic><topic>Cognitive Psychology</topic><topic>Experiments</topic><topic>Humans</topic><topic>Nervous system</topic><topic>Neurosciences</topic><topic>Psychology</topic><topic>Reproducibility</topic><topic>Reproducibility of Results</topic><topic>Software</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peirce, Jonathan</creatorcontrib><creatorcontrib>Gray, Jeremy R.</creatorcontrib><creatorcontrib>Simpson, Sol</creatorcontrib><creatorcontrib>MacAskill, Michael</creatorcontrib><creatorcontrib>Höchenberger, Richard</creatorcontrib><creatorcontrib>Sogo, Hiroyuki</creatorcontrib><creatorcontrib>Kastman, Erik</creatorcontrib><creatorcontrib>Lindeløv, Jonas Kristoffer</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>Docstoc</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Behavior Research Methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peirce, Jonathan</au><au>Gray, Jeremy R.</au><au>Simpson, Sol</au><au>MacAskill, Michael</au><au>Höchenberger, Richard</au><au>Sogo, Hiroyuki</au><au>Kastman, Erik</au><au>Lindeløv, Jonas Kristoffer</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PsychoPy2: Experiments in behavior made easy</atitle><jtitle>Behavior Research Methods</jtitle><stitle>Behav Res</stitle><addtitle>Behav Res Methods</addtitle><date>2019-02-15</date><risdate>2019</risdate><volume>51</volume><issue>1</issue><spage>195</spage><epage>203</epage><pages>195-203</pages><issn>1554-3528</issn><issn>1554-351X</issn><eissn>1554-3528</eissn><abstract>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.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>30734206</pmid><doi>10.3758/s13428-018-01193-y</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1554-3528
ispartof Behavior Research Methods, 2019-02, Vol.51 (1), p.195-203
issn 1554-3528
1554-351X
1554-3528
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6420413
source MEDLINE; SpringerLink Journals
subjects Behavioral Research - methods
Behavioral Science and Psychology
Cognitive Psychology
Experiments
Humans
Nervous system
Neurosciences
Psychology
Reproducibility
Reproducibility of Results
Software
User-Computer Interface
title PsychoPy2: Experiments in behavior made easy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T08%3A00%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=PsychoPy2:%20Experiments%20in%20behavior%20made%20easy&rft.jtitle=Behavior%20Research%20Methods&rft.au=Peirce,%20Jonathan&rft.date=2019-02-15&rft.volume=51&rft.issue=1&rft.spage=195&rft.epage=203&rft.pages=195-203&rft.issn=1554-3528&rft.eissn=1554-3528&rft_id=info:doi/10.3758/s13428-018-01193-y&rft_dat=%3Cgale_pubme%3EA714174341%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2191866093&rft_id=info:pmid/30734206&rft_galeid=A714174341&rfr_iscdi=true