From Computational Memory Lab
Revision as of 18:22, 22 October 2012 by Anonymous (Talk)

Jump to: navigation, search


Foundational Libraries

  • 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.
  • PandaEPL is a cross-platform Python library for programming 3D spatial navigation experiments.

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

  • Penn TotalRecall: score and annotate behavioral audio files (replaces PyParse)
  • 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. (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

  • The Context Maintenance and Retrieval model (CMR).