Fieldtrip version of OPTICAT (for the original EEGLAB version please see https://github.com/olafdimigen/OPTICAT)
This toolbox prepares the training data for ICA to remove ocularmotor artifacts in the optimal way that suggested in the following reference paper, which includes high-pass filtering and spike-potentials overweighting.
Reference paper: Dimigen, O. (2020). Optimizing the ICA-based removal of ocular artifacts from free viewing EEG. 116117. NeuroImage, https://doi.org/10.1016/j.neuroimage.2019.116117
Please note that the scripts are still under development. Please contact yalipan666@gmail.com when you want to use it. Thanks!