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Novel decoding technology could predict mood variations from brain signals

By developing a novel decoding technology, a team of engineers and physicians at the University of Southern California and UC San Francisco have discovered how mood variations can be decoded from neural signals in the human brain–a process that has not been demonstrated to date.

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