Difference between revisions of "Software"

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(Data Analysis)
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* Our EEG Toolbox is a set of Matlab functions to help in analyzing EEG data.
 
* Our EEG Toolbox is a set of Matlab functions to help in analyzing EEG data.
 
** '''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.psych.upenn.edu/InternalWiki/Electrophysiology_analysis#Introduction| EEG Toolbox page])   
 
** '''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.psych.upenn.edu/InternalWiki/Electrophysiology_analysis#Introduction| EEG Toolbox page])   
** 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.
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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.
** For documentation, please see <code><nowiki>eeg_toolbox/doc/Analyzing_EEG_Data.pdf</nowiki></code>. Additionally, use the <code><nowiki> help </nowiki></code> function in Matlab for assistance with individual functions.
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** 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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== Simulation Packages ==
 
== Simulation Packages ==

Revision as of 18:27, 16 October 2015

Experiments

Foundational Libraries

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.
    • 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.