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expyfun =========

This package is designed for audio-visual experiments with precise timing, and includes functionality for Eyelink control. This package is designed with the purpose that it be used by LABS^N at the University of Washington. It is not designed for public use.

Therefore, while we welcome bug reports and suggestions from others, NO SUPPORT IS GUARANTEED. Moreover, we can and will change the API as necessary to suit the needs of the lab. Thus, use at your own risk.

Note that lab calibration logs can be stored here.

The API documentation and examples can be found here.

Requirements:

  • numpy/scipy/matplotlib
  • pyglet 1.2.0 or later
  • TDTpy (if using TDT on Windows)
  • mne-python (filtering/resampling -- with CUDA if mne dependencies installed)

Optional:

  • pandas (some plotting functions)
  • joblib (parallel processing)
  • h5py (HDF5 write/read)

System-level: - git (for automated version downloading)

Licensing

expyfun is BSD-licenced (3 clause):

This software is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.

Copyright (c) 2013, authors of expyfun All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  • Neither the names of expyfun authors nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.

This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

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Experimental paradigm functions.

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