Like Dumbledore’s wand, a scan can pull long strings of stories straight out of a person’s brain — but only if that person cooperates.
In a study published in the journal Nature Neuroscience, researchers from the University of Texas at Austin were able to decode the thoughts of people using brain scans. The researchers used functional magnetic resonance imaging (fMRI) to measure the brain activity of three participants as they listened to stories. They were then able to use a machine learning algorithm to decode the participants’ thoughts, with an accuracy of up to 80%.
This is a significant breakthrough in the field of brain-computer interfaces. It could potentially be used to help people who are unable to communicate verbally, such as those who have suffered a stroke or amyotrophic lateral sclerosis (ALS). It could also be used to improve the efficiency of communication between humans and machines.However, it is important to note that this technology is still in its early stages. The researchers were only able to decode the thoughts of people who were listening to stories. It is not yet clear whether the technology could be used to decode the thoughts of people who are thinking about other things, such as solving a problem or planning a trip.
Further research is needed to develop this technology and to make it more widely available. However, the potential benefits of this technology are significant, and it could revolutionize the way we communicate with each other.