https://github.com/expyriment/expyriment

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments
https://github.com/expyriment/expyriment

cognitive-science experiment-control neuroimaging-experiments neuroscience openscience opensesame psychology psychology-experiments python-library science stimulus-presentation

Last synced: about 1 month ago
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Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

• Host: GitHub
• URL: https://github.com/expyriment/expyriment
• Owner: expyriment
• License: gpl-3.0
• Created: 2013-08-06T12:38:51.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2024-04-05T14:59:13.000Z (5 months ago)
• Last Synced: 2024-04-05T16:03:21.634Z (5 months ago)
• Topics: cognitive-science, experiment-control, neuroimaging-experiments, neuroscience, openscience, opensesame, psychology, psychology-experiments, python-library, science, stimulus-presentation
• Language: Python
• Homepage: www.expyriment.org
• Size: 8.28 MB
• Stars: 112
• Watchers: 14
• Forks: 41
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.md
  • License: COPYING.txt

Awesome Lists containing this project

• BehavioralTaskSoftware - Github - (Software Platforms / Expyriment)
• awesome-neuropsychology - expyriment - stash) timing-critical behavioural and neuroimaging experiments (Cognitive Science / Neuro Datasets)
• awesome-neuroscience - expyriment - Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments. (Programming / Python)
• awesome-neuroscience - expyriment - Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments. (Programming / Python)

README

        
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Overview

========

**Expyriment** is an open-source and platform-independent lightweight Python

library for designing and conducting timing-critical behavioral and

neuroimaging experiments. The major goal is to provide a well-structured

Python library for script-based experiment development, with a high priority

being the readability of the resulting program code. Due to the availability

of an Android runtime environment, Expyriment is also suitable for the

development of experiments running on tablet PCs or smart-phones.

**Expyriment** has been tested extensively under Linux and Windows and is an

all-in-one solution, as it handles stimulus presentation, the recording of

input/output events, communication with other devices, and the collection and

preprocessing of data. Furthermore, it offers a hierarchical design structure,

which allows for an intuitive transition from the experimental design to a

running program. It is therefore also suited for students, as well as for

experimental psychologists and neuroscientists with little programming

experience.

- Project Homepage: http://www.expyriment.org

*GNU General Public License v3* (see [details])  

Florian Krause ([email protected]) & Oliver Lindemann ([email protected])

Documentation

=============

Documentation can be found in the directory "documentation".

For online documentation see: http://docs.expyriment.org

Examples

========

For online examples see: http://stash.expyriment.org/examples

Installation

============

The latest stable release of Expyriment can be found at Github:

https://github.com/expyriment/expyriment/releases/latest 

For detailed installation instructions, please see the online documentation: 

http://docs.expyriment.org/Installation.html

Reference

=========

Krause, F., & Lindemann, O. (2014). Expyriment: A Python library for cognitive 

and neuroscientific experiments. *Behavior Research Methods*, 46(2), 416-428. 

http://dx.doi.org/10.3758/s13428-013-0390-6

[details]: https://github.com/expyriment/expyriment/blob/master/COPYING.txt

Contributing

============

Join other

[contributors](https://github.com/expyriment/expyriment/graphs/contributors)

and help us out with Expyriment development! We are very happy to receive pull

requests on GitHub.