What CMU scientists have been working on is a system that can apparently read complex thoughts based on brain scans, possibly even interpreting complete sentences.
This involved gathering data from a functional magnetic resonance imaging (fMRI) machine, and then using AI machine learning algorithms to pinpoint — and sometimes reverse-engineer — the building blocks the brain uses to construct complex thoughts.
The discovery of this correspondence between thoughts and brain activation patterns tells us what the thoughts are built of.”
After training the algorithm on 239 of the 240 sentences and their corresponding brain scans, the researchers were able to predict the final sentence based only on the brain data. It was able to do this with an impressive 87 percent accuracy, as well as doing the opposite: being given sentence information and then outputting an accurate image of how the brain would be activated during that sentence.
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