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 (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)
- 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 the
helpfunction in Matlab for assistance with individual functions.