All materials in this repository are related to the article:

Fink, L. K., Hurley, B. K., Geng, J. J. & Janata, P. (2018). A linear oscillator model predicts dynamic temporal attention and pupillary entrainment to rhythmic patterns. Journal of Eye Movement Research, 11(2):12. DOI: 10.16910/jemr.11.2.12

The article was part of a Special Issue on Music & Eye-Tracking in the Journal of Eye Movement Research (JEMR). Please cite the article, if using anything in this repository.

If readers are interested in the stimulus presentation software developed for this experiment, please note that it was originally created by Brian Hurley and published in this repository on the Janata Lab Github page. That version is purely behavioral and was first published in:

Hurley, B., Fink, L., & Janata, P. (2018). Mapping the dynamic allocation of attention in musical patterns. Journal of Experimental Psychology: Human Perception & Performance. DOI: 10.1037/xhp0000563.

The version of the experiment presention code used in the current JEMR study required a few extensions from the original software for communication with the eye-tracking computer. Those extensions are included in this repository. If using the experiment presentation code, please be sure to cite the original JEP:HPP paper.

The MATLAB and R code in this repository was used to preprocess, statistically model, and plot behavioral and eye-tracking data. The data are not included in the repository and, at present, are not publicly available.

The analysis code is presented for example purposes only and is not reproducable as is. This is because (1) some data are queried from the Janata Lab's MySQL server which requires authentication, and (2) some code relies on lab-general functions from our private Janata Lab repository. Interested readers can check out the Janata Lab website, which contains links to download a large percentage of our lab specific software, including the linear oscillator model discussed in the paper.

• Max/MSP 5 or later
• MATLAB 2017a
• Signal Processing Toolbox (v. 7.4)
• Statistics and Machine Learning Toolbox (v. 11.1)
• Bioinformatics Toolbox (v. 4.4)
• R (v. 3.5.1)
• Ensemble (Tomic & Janata, 2007)
• Janata Lab Music Toolbox (57,71).