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.
PyEPL-based experiments used in the Kahana Lab.
- pyFGS: Face/Grating Sternberg task (<<ExtLink(/files/software/experiments/pyFGS.tgz,tgz)>>)
- pyFR: Free Recall task (<<ExtLink(/files/software/experiments/pyFR.tgz,tgz)>>)
- YellowCab II: Virtual Driving task (<<ExtLink(/files/software/experiments/yellowcab2.tgz,tgz)>>)
- ycCross: YellowCab Variant (<<ExtLink(/files/software/experiments/ycCross.tgz,tgz)>>)
- Trackball: Blinking and eye-movement task (<<ExtLink(/files/software/experiments/trackball.tgz,tgz)>>)
- Testsync: Simple program to send sync pulses (<<ExtLink(/files/software/experiments/testsync.tgz,tgz)>>)
/* * PyParse: Parse Behavioral Sound Parsing Program */
- 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. (<<ExtLink(files/software/eeg_toolbox/eeg_toolbox.zip,zip)>>)
- Current version is 1.3.2, last update June 25, 2008.
- For documentation, please see
eeg_toolbox/doc/doc.pdf. Additionally, use the
helpfunction in Matlab for assistance with individual functions.
- COMING SOON! The Context Maintenance and Retrieval model (CMR).