A new study from the center showed strides in a brain-machine interface to read a person's thoughts and plainly translate them into words for all to see.
Researchers were able to decode the thoughts of the two participants into words with 79% accuracy.
Now, researchers believe that the supramarginal gyrus "may be able to represent a much larger internal vocabulary" of the human mind.
At the University of Texas in Austin last year, separate research successfully used AI-powered semantic decoders to accurately analyze a person's brain activity.
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