P0010.5 Cross-experimental analysis

Resources for Mathôt, S., Siebold, A., Donk, M., & Vitu, F., (in preparation). Large Pupils Predict Goal-driven Eye Movements.

Analysis

To run the full analysis, execute:

./fullAnalysis.sh

In addition to the standard Python modules for data processing (NumPy etc.), the analysis requires exparser.

Data

Every experiment has the following input files:

• exp[X].data.csv which contains trial info, with one trial per row.
• exp[X].fixdur.csv which is a list of fixation durations.
• exp[x].fix.csv contains the main input. This corresponds to saccLog-processed.csv from the original parser.

Stimuli

Images, saliency maps, and luminance maps (as described in the manuscript) can be found in the folder /stimuli/. Due to license restrictions, for Exp. 2, only the fractals are provided. The scenes can be obtained from:

• http://natural-scenes.cps.utexas.edu/

Manuscript

Manuscript source files can be found under /manuscript/.

License and credits

• Experimental scripts (i.e. *.py) are available under the GNU General Public License v3.
• /stimuli/exp1-3/* are taken (or derived) from the UPenn natural image database and are available under a Creative Commons Attribution-NonCommercial Unported License.
• All other files are original materials and available under a Creative Commons Attribution Unported License.