eyetracking/cross_models.Rmd calculates GLMMs for number of saccades and microsaccades as well as their amplitudes. Saccade and microsaccade detection has been performed with the Microsaccade Toolbox for R.

Saccade and microsaccade detection and modelling EEG/preprocess_EEG.m preprocesses EEG data according to the steps outlined in the paper. IMPORTANT eye tracking preprocessing needs to run before EEG preprocessing. eyetracking/eyetracking_preprocessing.m brings preprocessed eye tracking data in the correct format for MVPA and filters at 200 Hz. eyetracking/remove_all_trials_from_eyetracking_not_in_EEG.R/ double check whether there are any additional trials left that differ and remove if that is the case eyetracking/remove_cleaned_EEG_trials_from_eyetracking.R reject trials that were rejected during EEG preproceccesing eyetracking/eyetracking_preprocessing_correct_trialinfo_mac.R preprocesses eye tracking data according to the outlined steps in the paper for the saccade and microsaccade detection algorithm eyetracking/fix_trials_eyetracking.R deals with an issue with the trial definition during the recording.

Preprocessing relies on function from the Fieldtrip Toolbox Eye tracking The code was written in MATLAB 2021 and R version 31 Preprocessing This code was used to produce the results for the paper The influence of the bullseye versus standard fixation cross on eye movements and classifying natural images from EEG by Häberle et al. The influence of the bullseye versus standard fixation cross on eye movements and classifying natural images from EEG

Project time tracking