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 the help function in Matlab for assistance with individual functions.

Simulation Packages

• COMING SOON! The Context Maintenance and Retrieval model (CMR).