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 ([http:files/software/experiments/pyFGS.tgz tgz])
- pyFR: Free Recall task ([http:files/software/experiments/pyFR.tgz tgz])
- YellowCab II: Virtual Driving task ([http:files/software/experiments/yellowcab2.tgz tgz])
- ycCross: YellowCab Variant ([http:files/software/experiments/ycCross.tgz tgz])
- Trackball: Blinking and eye-movement task ([http:files/software/experiments/trackball.tgz tgz])
- Testsync: Simple program to send sync pulses (http:files/software/experiments/testsync.tgz tgz)
- PyParse: Parse Behavioral Sound Parsing Program
- Our eeg_toolbox is a set of Matlab functions to help in analyzing EEG data. ([http: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 help function in Matlab for assistance with individual functions.