Difference between revisions of "Software"

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(Foundational Libraries)
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=== Foundational Libraries ===
 
=== Foundational Libraries ===
* [http://pyepl.sourceforge.net PyEPL] (the Python Experiment-Programming Library) is a library for coding psychology experiments in Python.  It supports presentation of both visual and auditory stimuli, and supports both manual (keyboard/joystick) and sound (microphone) input as responses.  Visit the [http://pyepl.sourceforge.net PyEPL SourceForge page] for more information and downloads. ([[Publications#GellEtal07|Methods paper can be found here.]])
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* [http://pyepl.sourceforge.net PyEPL] (the Python Experiment-Programming Library) is a library for coding psychology experiments in Python.  It supports presentation of both visual and auditory stimuli, and supports both manual (keyboard/joystick) and sound (microphone) input as responses.  Visit the [http://pyepl.sourceforge.net PyEPL SourceForge page] for more information and downloads, or click [http://memory.psych.upenn.edu/files/pyepl_installer.zip here] for an updated installer, capable of working on El Capitan. ([[Publications#GellEtal07|Methods paper can be found here.]])
 
* [[PandaEPL]] is a cross-platform Python library for programming 3D spatial navigation experiments. ([[Publications#SolwEtal13|Methods paper can be found here.]])
 
* [[PandaEPL]] is a cross-platform Python library for programming 3D spatial navigation experiments. ([[Publications#SolwEtal13|Methods paper can be found here.]])
  

Revision as of 13:54, 12 April 2016

Experiments

Foundational Libraries

  • PyEPL (the Python Experiment-Programming Library) is a library for coding psychology experiments in Python. It supports presentation of both visual and auditory stimuli, and supports both manual (keyboard/joystick) and sound (microphone) input as responses. Visit the PyEPL SourceForge page for more information and downloads, or click here for an updated installer, capable of working on El Capitan. (Methods paper can be found here.)
  • PandaEPL is a cross-platform Python library for programming 3D spatial navigation experiments. (Methods paper can be found here.)

Experiment Paradigms

PyEPL-based experiments used in the Kahana Lab.

Data Analysis

  • Penn TotalRecall: score and annotate behavioral audio files (replaces PyParse)
  • Behavioral Toolbox: a suite of MATLAB functions to aid in analyzing behavioral Free Recall data
  • Our EEG Toolbox is a set of Matlab functions to help in analyzing EEG data.
    • The latest public release can be downloaded here (zip). Current version is 1.3.2, last update June 25, 2008.
    • Lab members and collaborators (e.g., members of the RAM team) should checkout the the most recent version from the lab’s SVN server (for instructions, see the internal wiki EEG Toolbox page)
    • For documentation, please see the newest (January 14, 2015) tutorial for EEG analyses. Additionally, use the help function in MATLAB for assistance with individual functions.

Simulation Packages

  • The Context Maintenance and Retrieval model (CMR).

CRP

Please see our CRP tutorial page.

Wavmark

Please see our Wavmark page.