Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 

readme.md

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:

Manuscript

Manuscript source files can be found under /manuscript/.

License and credits

About

Experimental resources for P0010.5

Resources

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.