Difference between revisions of "Software"

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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.]])
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* [[UnityEPL]] is a library of C# scripts that facilitates precise timing, logging, and communication with external hardware. Code is available [https://github.com/pennmem/UnityEPL here].
  
 
=== Experiment Paradigms ===
 
=== Experiment Paradigms ===
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* [[TotalRecall|Penn TotalRecall]]: score and annotate behavioral audio files (replaces PyParse)
 
* [[TotalRecall|Penn TotalRecall]]: score and annotate behavioral audio files (replaces PyParse)
 
* [[behavioral_toolbox|Behavioral Toolbox]]: a suite of MATLAB functions to aid in analyzing behavioral Free Recall data
 
* [[behavioral_toolbox|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. ([http://memory.psych.upenn.edu/files/software/eeg_toolbox/eeg_toolbox.zip zip])
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* [https://github.com/pennmem/pybeh Python Behavioral Toolbox]: our MATLAB Behavioral Toolbox has been ported into Python
** Current version is 1.3.2, last update June 25, 2008.
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* Our EEG Toolbox is a set of Matlab functions to help in analyzing EEG data.
** For documentation, please see <code><nowiki>eeg_toolbox/doc/doc.pdf</nowiki></code>. Additionally, use the <code><nowiki>help</nowiki></code> function in Matlab for assistance with individual functions.
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** The latest public release can be downloaded [http://memory.psych.upenn.edu/files/software/eeg_toolbox/eeg_toolbox.zip here  (zip)]. Current version is 1.3.2, last update June 25, 2008.
** You can also find Dr Josh Jacob's [http://memory.psych.upenn.edu/files/misc/EEGtoolbox-goodversion.pdf "Introduction to the EEG toolbox" here].
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** '''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  [https://memory-int.psych.upenn.edu/index.php/InternalWiki/Electrophysiology_analysis#Introduction| EEG Toolbox page]) 
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**For documentation, please see the newest (January 14, 2015)[[Media:Analyzing_EEG_Data.pdf | tutorial for EEG analyses. ]] Additionally, use the <code><nowiki> help </nowiki></code> function in MATLAB for assistance with individual functions.
  
 
== Simulation Packages ==
 
== Simulation Packages ==
 
* The Context Maintenance and Retrieval model ([[CMR]]).
 
* The Context Maintenance and Retrieval model ([[CMR]]).
 
[[Category:public]]
 
[[Category:public]]
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== CRP ==
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Please see [[CRP_Tutorial| our CRP tutorial page.]]
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== Wavmark ==
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Please see [[Wavmark| our Wavmark page.]]
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Latest revision as of 20:12, 4 May 2020

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.)
  • UnityEPL is a library of C# scripts that facilitates precise timing, logging, and communication with external hardware. Code is available 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
  • Python Behavioral Toolbox: our MATLAB Behavioral Toolbox has been ported into Python
  • 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.