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A colorful atlas of the human brain may bring neuroscientists closer to reading our minds

By Michael Tabb
Published Last updated This article is more than 2 years old.

Reading people’s thoughts might not require hocus pocus after all.

A team of UC Berkeley researchers has built a computational model capable of predicting a brain’s response to spoken narratives. The scientists’ work focuses on semantics—exploring how different concepts in stories activate different parts of the brain. Check out the video above to get a look inside their creation, and see how it could be a major step for neuroscience.

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