The dataset contains multiple EEG recordings, each corresponding to multiple sound recordings. The exact match is unknown: [login to view URL]
Assumption: two continuous variables have nonlinear relationship.
Task: detect window of EEG corresponding to each sound recording.
Possible approach: use distance correlation tests with sliding window of EEG.
Goal: I want to process EEG and corresponding sound in parallel.
Deliverable: private Git repository with Jupyter notebook(s), that run in a cloud (Google, MS).
The repository should contain files with extracted windows of EEGs and matching sound files.
The notebook should provide explanation for each step and proof that the files have a relationship.