Tom Mitchell, who is head of the machine learning department at Carnegie Mellon, discusses how the human brain represents ideas. His ongoing research is trying to answer questions such as...
- Are brain representations similar across people?
- Can we actually predict brain representations?
His research involves regression analysis of data collected from fMRI scans and word co-occurance statistics using Google's trillion-token corpus.
http://www.youtube.com/watch?v=QbTf2nE3Lbw
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