Difference between revisions of "Software"
From Computational Memory Lab
Line 17: | Line 17: | ||
= Data Analysis = | = Data Analysis = | ||
* [[pyParse]]: Parse Behavioral Sound Parsing Program | * [[pyParse]]: Parse Behavioral Sound Parsing Program | ||
− | * 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. ([http://marzipan.psych.upenn.edu/files/software/eeg_toolbox/eeg_toolbox.zip zip]) |
** Current version is 1.3.2, last update June 25, 2008. | ** Current version is 1.3.2, last update June 25, 2008. | ||
** 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. | ** 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. |
Revision as of 15:33, 25 June 2008
Experiments
Foundational Library
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.
Experiment Paradigms
PyEPL-based experiments used in the Kahana Lab.
- pyFGS: Face/Grating Sternberg task (tgz)
- pyFR: Free Recall task (tgz)
- YellowCab II: Virtual Driving task (tgz)
- ycCross: YellowCab Variant (tgz)
- Trackball: Blinking and eye-movement task (tgz)
- Testsync: Simple program to send sync pulses (tgz)
Data Analysis
- pyParse: Parse Behavioral Sound Parsing Program
- Our eeg_toolbox is a set of Matlab functions to help in analyzing EEG data. (zip)
- Current version is 1.3.2, last update June 25, 2008.
- For documentation, please see
eeg_toolbox/doc/doc.pdf
. Additionally, use thehelp
function in Matlab for assistance with individual functions.