Neurointerface Recognizes Internal Language of a Person: How the Technology Works

Breakthrough in the Use of Neural Interfaces

Researchers have made significant progress in the development of neural interfaces by teaching a brain-computer system to recognize a person's internal language. They utilized artificial intelligence technology that has demonstrated the highest decoding accuracy to date.

This system can recognize the phonemes in the language that a person 'speaks in their head' and compare them to words from a large dictionary containing 125 thousand entries. Thanks to this, the artificial intelligence can transform phonemes into complete words and sentences.

Technologies for People Who Have Lost the Ability to Speak

Engineers from the University of California, Davis, created a device that helped a patient who could not speak due to illness to decode language. They implanted electrodes in the area of the cerebral cortex responsible for motor activity and speech articulation. This implant opens new possibilities for people with speech loss.

Researchers achieved a breakthrough in neural interfaces by developing a system that can recognize phonemes in a person's 'internal language'. Additionally, engineers created a device that assists people who have lost the ability to speak in decoding language through the implantation of electrodes into the cerebral cortex.