mtl-brainhack-school-2019 / BrainHackSchool2019_AB

0 stars 0 forks source link

EEG preprocessing/processing using MNE-Python

Background

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.

Preprocessing

Processing/Feature extraction

SS-EP from Nozaradan (2011)

Analyses

Deliverables

Commented Jupyter Notebook..