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Scientists have enabled a paralyzed man to understand, transfer and drop things using his ideas.
Researchers in San Francisco have developed a robot arm receiving signals from the brain to a computer, allowing a man who cannot speak or move to interact with things.
The device, known as the computer’s computer interface, works for a period of seven months without having to adjust it. Previously attempts to use such a device have worked only for a day or two.
It works using artificial intelligence that adapts to small changes that occur when a person repeats a movement – or in this case, simply imagines movement – then learns to do so in a more accurate way.
“This mixture of learning between humans and AI is the next stage of the computers in the brain,” said Professor of neuroscientists, Carronish Ganguli.
He added: “This is what we need to achieve a sophisticated life -like job.”
As part of the study published in magazine cellThe participant had small sensors planted on the surface of his brain, which could capture brain activity when he simply thought about moving.
Researchers discovered Professor Ganguli and neuroscientist Nigalish Naatraj that the patterns of brain activity in animals represent specific movements, and she saw these patterns changed daily as the animal learned.
Professor Gangolly was suspected that the same thing was happening in humans, which is why these computer facades in the brain stopped working very quickly and could not recognize these patterns.
To see if the participant’s brain patterns have changed over time, Professor Gangouli asked the man to imagine the transfer of different parts of his body, such as his hands, feet or head.
Although he could not actually move, the participant’s brain can still produce signals for movement he was imagining. The sensors recorded the brain’s representation of these movements in the brain daily.
Then the researchers asked the man to imagine himself making simple movements with his fingers, hands or thumbs for two weeks, while sensors recorded his brain activity to train artificial intelligence.
However, when the participant tried to use the robotic arm and hand, the movements were not accurate.
To fix this, the researchers used a virtual robot that gave the participant’s observations on the accuracy of his photos, and in the end the arm did what he wanted.
It took only some practices to use his new arm in the real world, which causes them to capture the blocks, convert them and transfer them to new sites. He was also able to open a cabinet, remove a cup and keep it on the water distributor.
After months, the participant was still able to control the automatic arm after “adjust” to adjust how to represent his movement in his brain since he started using the device.
Researchers are now improving artificial intelligence models to make the automatic arm faster and ready for the home environment.
Professor Gangolly said: “I am very confident that we have learned how to build the system now, and we can make this work,” said Professor Gangolly.