Newly developed human-machine interface for real-time medical treatment tasks

Although most human-machine interfaces are currently limited to moving only one target at a time, it is still possible to move two separate targets at the same time. This is a report from the recently published Nature-Neuroscience. The conclusion. This suggests that previous human-machine interfaces that only allowed paralyzed patients to move a single external mechanical limb or could potentially handle more complex movements to meet real-world needs.

The human machine interface allows the brain to communicate directly with an external machine. However, at present, most interfaces are still limited to moving one target at a time, and can not fully meet the medical needs, such as helping patients, because the interface can only analyze a single motion in memory, and the stability is limited.

Ziv Williams et al. trained monkeys to remember a set of targets and point them out in the computer while recording their brain activity. They found that different types of cells in the same region of the monkey brain encode each upcoming action simultaneously.

Researchers have compiled computer programs to decode these brain activity patterns and get a string of signals that can be used to point the computer cursor to the target that the monkey remembered before. The human-machine interface developed by Williams et al. can quickly analyze the monkey brain activity and achieve the task in real time, basically achieving the ability to move the cursor synchronously with the monkey.

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