Machine Learning Task -Simultaneous EEG-fMRI

The goal of this task to denoise an EEG dataset acquired during a simultaneous EEG-fMRI experiment, extract some frequency-domain measures from the denoised EEG signal, and correlate it with an fMRI image (which is a 4d image, each voxel is a time series). The end result will be whole-brain correlation maps showing which brain areas correlate best with EEG.
There are 5 parts to this task