"Neural Grain" network successfully records brain activity

A key step towards the next generation of brain-computer interface systems

"Neural Grain" network successfully records brain activity

Has taken a key step towards the next generation of brain-computer interface system has taken a key step toward the next generation of brain-computer interface system has taken a key step toward the next generation of brain-computer interface system"neurological grain" Network proven track record brain activity "nervous grain" Network Success Record brain activity

Science and Technology Daily, Beijing, August 19 (Reporter Zhang Mengran) Most of the existing brain-computer interface systems can only use one or two sensors for sampling, and the latest neural interface system can coordinate hundreds of tiny brain sensors.
Activity
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This achievement is a key step towards a new conceptual form of brain-computer interface

As an emerging auxiliary device, brain-computer interface may one day help patients with brain or spinal cord damage regain their mobility or communication capabilities
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The brain-computer interface system relies on implanted sensors, which are responsible for recording electrical signals in the brain, and then use the signals to drive external devices such as computers or mechanical prostheses

This time, the research team including engineers from Brown University, Baylor University and other institutions has taken a crucial step towards the new form of brain-computer interface in the future
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The newly developed system uses independent wireless miniature neural sensors to form a coordination network.

In the experiment, the research team demonstrated the significant results of using 48 "nerve grain" sensors to successfully record the nerve activity of rodents
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These "grains" were placed on the animal's cerebral cortex and successfully recorded characteristic neural signals related to spontaneous brain activity, and the data showed that the current configuration of the system can support up to 770 "neural grains

Researchers say that a big challenge in the field of brain-computer interfaces is to design methods to detect as many points in the brain as possible
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They believe that one day people will be able to record brain signals in unprecedented detail, thereby generating new understanding of the way the brain works, and providing new treatments for people with brain or spinal cord injuries