From Computational Memory Lab
Revision as of 20:33, 25 June 2008 by AlecSolway (Talk)

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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 ([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])

Data Analysis

  • 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/ 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.