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Computer reads minds in real time

13.02.2016

Scientists from the University of Washington (USA) have learned to read minds with amazing speed and accuracy thanks to brain implants and sophisticated software.

To learn how to decode human brain signals at near-perceptual speed, the researchers turned to seven epilepsy patients at a local hospital for help.

Patients have been given temporary brain implants that help doctors study the mechanism of epileptic seizures. During the experiment, they were shown a random sequence of pictures: human faces, houses, and a blank gray screen for 400 milliseconds. The task of the patients was to notice the image of the house turned upside down.

The electrodes in their brains were connected to neural network-based software that tracked two different types of brain signals, namely coupled event potentials (when large groups of neurons respond simultaneously to an image being shown) and broadband spectral changes (signals that occur after viewing an image). ).

The computer processed the brain signals 1000 times per second, which made it possible to determine which combination of electrodes and signals was best suited to decode the patients' thoughts.

After training the software, the scientists showed the patients a completely new set of pictures. The computer was now able to predict with 96% accuracy what the patient was seeing - a house, a face, or a gray screen. And guessed it almost at the speed of thought!

The researchers explain that they were able to achieve such results due to the fact that neural networks are able to capture different and complementary aspects of subjective perception.

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