Data and analysis scripts for "Control of Visual Adaptation Depends Upon Task", Vergeer and Engel, PLOS ONE, 2020

The main file is FigShareAdaptTasksPlots:<br><br>This script recreates the main figures from the paper from data matrices.<br><br>Run this separately for Experiments 1 and 2. The script loads in data structures for each experiment from the relevant file, either figShareExp1Dat.mat or figShareExp2Dat.mat These files contain two variables, one for the tilt aftereffect, "TAEDat" and one for the secondary task performance, "T2Dat"<br><br>The code then just averages them to produce time courses for TAE and bar graphs for the secondary task performance. In each case, the end of averaging is a 2 x 2 data structure, where one dimension is adaptive state(baseline vs adaptation) and the other is task (grating vs fixation) The TAE is plotted both as full timecourses and as difference time courses (subtracting out baseline from adaptation). The secondary task performance is plotted averaged within 3 time bins, for all 4 conditions, because it is much noisier. The code also does this first for both sessions averaged together, then separately for each session. Each of these is in its own Figure.<br><br>The data files are also in this directory as is ShadedErrorBar.m, which makes nice error ribbon timeseries plots.