Positive Technology Journal

Via Mind Hacks 

A team of three Italian researchers (Emanuele Olivetti, Diego Sona, and Sriharsha Veeramachaneni) won $10000 in a brain-activity interpretation competition. Entrants were provided with the fMRI data and behavioural reports recorded when four people watched two movies. The competitors' task was to create an algorithm that could use the viewers ongoing brain activity to predict what they were thinking and feeling as the film unfolded.

The Italian team resulted to be the most accurate, with a correlation of .86 for basic features, such as whether an instant of the film contained music. The full results are here.