Marcel Just, Tom Mitchell, and colleagues at Carnegie Mellon University are conducting research on "thought identification" using fMRI. Using machine learning techniques, they have been able to identify patterns of brain activation that are reliably associated to the concept of different objects. These signature patterns could be generalized across different participants, so that the authors were able to correctly identify which object a participant was thinking of by analyzing the corresponding brain activation.