DARPA is sponsoring a competition to analyze data from an unusual functional Magnetic Resonance Imaging experiment. Subjects watch videos inside the scanner while fMRI data are acquired. Unbeknownst to these subjects, the videos have been seen by a panel of other subjects that labeled each instant with labels in categories such as representation (are there tools, body parts, motion, sound), location, presence of actors, emotional content, etc.
The challenge is to predict all of these different labels on an instant-by-instant basis from the fMRI data. A few reasons why this is particularly interesting:
- This is beyond the current state of the art, but not inconceivably hard.
- This is a new type of experiment design current analysis methods cannot deal with.
- This is an opportunity to work with a heavily examined and preprocessed neuroimaging dataset.
- DARPA is offering prizes!