I am a PhD student at Concordia University enroll in an Individualized program (intersection of cognitive neurosciences and digital arts/electroacoustics) My main PhD focus is on electrophysiological correlates of creativity and pareidolia, as well as how to use this knowledge in Brain-Computer Interfaces (BCI)
But...still waiting for my EEG data!
Instead... Music Imagery Information Retrieval: 10 subjects, 64 EEG Channels for a music imagery task of 12 different pieces w/ different meter, length and tempo
I chose to work with these data so it provides me with a first hands-on experience with EEG data. The produced scripts/notebooks should be reusable for the data I will be collecting in the next few months (hopefully) and for anybody interested in using MNE-Python and complexity measures on electrophysiological data. This project uses open-source EEG data collected on a Music Perception and Imagery task.
Commented Jupyter Notebook..
[ ] For preprocessing and epoching of data
[ ] For computation of complexity measures, PSD and related topomaps
[ ] Draft of a paper if any promising results!
[ ] Requirements.txt
[ ] Wrap-up on Binder