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kschuler / words-in-noise-EEG

An EEG task for Kelly Michaelis and Peter Turkeltaub. Learners try to determine words presented in a noise mask with either just auditory information or both auditory and visual information.
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Words in Noise EEG

This is a python experiment written by [Katie Schuler](mailto: kathryn.schuler@gmail.com) for Kelly Michaelis and Peter Turkeltaub.

Getting started

The easiest way to get the current version of the experiment is to click the green Clone or download button in the upper right corner. Or simply clone this repository in the command line with the command below. Previous versions of the experiment can be found on the release page.

git clone https://github.com/kschuler/words-in-noise-EEG.git

Detailed instructions for how to modify the parameters of this experiment and run it via PsychoPy are provided on this experiment's wiki page:

Issues and progress

To create an issue or track progress, visit the issues page.

Citations

This experiment relies heavily on PsychoPy, a python library for neuroscience and psychology experiments and SoX, a command line utility for sound processing. If you use this program (or a modified version of it), please make sure to the nice people who make these tools in your published works.

PsychoPy citation

Peirce, JW (2007) PsychoPy - Psychophysics software in Python. J Neurosci Methods, 162(1-2):8-13

SoX citation

Bagwell, C., Sykes, R., Giard, P. (2015). SoX (Version 14.4.2) Software. Retrieved from http://sox.sourceforge.net/