Carnegie Mellon University professor on musk brain computer interface: does not reflect the progress of neural decoding

 Carnegie Mellon University professor on musk brain computer interface: does not reflect the progress of neural decoding

It is unclear whether neuralink devices can be used to decode human intentions and control devices in the environment. As far as I can see, this ability has not been proved.

Elon Musks brain computer interface company, neurlink, has recently become a global focus again. Professor He Bin, a brain computer interface scientist and head of the Department of Biomedical Engineering at Carnegie Mellon University, is receiving the surging newsuff08 uff09In the interview, musk demonstrated the development in the engineering fields of miniaturization of brain computer interface equipment and wireless communication, but did not appear to show any significant progress in neural decoding.

On August 29, with more than two million people watching, musk showed live the next generation of BCI implants, surgical robots and a pig implanted with BCI devices. It was implanted into a brain computer interface device two months ago and is in good condition.

Next generation neuralink robot

And when it hits the brain, its going to pick up the brains brain, and its going to be able to pick up the brains brain in real-time, and its going to be able to pick up the brains brain, and its going to be able to pick up the signals from the brains snout.

According to musk, the new generation BCI implant of neural connection is only the size of a coin, with a diameter of 23 mm and a thickness of 8 mm. It is fully wireless transmission and has a battery life of one day. The implantation operation is completed by a special robot, and the whole process only takes one hour without general anesthesia, and can be discharged on the same day.

He Bin believes that Musks demonstration represents an important development of neural technology in engineering design and surgical robotics.

But he also noted that musk did not show any significant progress in neural decoding. Its important to scale down the implantable BCI device from the point of view of recording and signal transmission, but ultimately people need to prove what the system can do to decode brain signals and correctly interpret the state and intention of the brain.

Based on this, many experts believe that the BCI system demonstrated by musk is a breakthrough in brain surgery, but it does not explain the brain signal. He Bin agreed with this.

Talking about the application prospect of neural connection technology in human body, he Bin said that he thinks neural connection technology can be applied to human beings, such as patients who need severe intervention, and they can benefit from this kind of invasive brain implantation.

Brain computer interface (BCI) refers to the connection of brain with external devices in a certain form to realize the conversion between EEG signal and related instruction signal. Its concept was put forward in 1970s. Brain computer interface can be divided into two types: invasive and non-invasive. Invasive BCI systems require surgical implantation of chips and electrodes into the brain.

The decoding and translation of neural information is a key problem in brain computer interface (BCI) due to the large noise of EEG signal and the complexity of neural coding mechanism behind it. About 10 years ago, scientists first decoded speech from human brain signals, but the accuracy and speed of decoding were much lower than natural speech speed.

He Bin

He bin is an outstanding scientist in the field of noninvasive brain computer interface (BCI). His research team has realized the idea control of UAV flight and surmount obstacles by using non-invasive brain computer interface technology. In 2019, his team developed a brain computer interface that can connect with the brain noninvasively, allowing people to control the continuous and rapid movement of the robot arm with the mind.

In early 2020, he bin gave an exclusive interview to national science review (NSR) on brain computer interface progress. There are two aspects to BCI, he said. The first is to detect human brain signals, decipher the meaning, so as to control the machine; the other is to transmit electrical, magnetic and acoustic signals into the brain to stimulate or regulate the activities of neural circuits, which is mainly used for disease treatment.

When commenting on the brain computer interface technology released by neurolink in 2019, he said that if the news reports were accurate, he thought that neural connection was a major breakthrough in technology, a big step forward compared with the current technology in the laboratory. In the future, this technology may be used in patients with epilepsy who need surgery. But he also believes that in the general public, innovative technology is difficult to promote, no matter how thin the electrode. Noninvasive brain computer interface technology will have a greater application prospect.

He Bins newsuff08 uff09In recent years, researchers in the field of brain computer interface have also made progress in understanding the mechanism of neuroscience and invasive auditory brain computer interface in addition to the engineering progress represented by neural connection. On the other hand, the noninvasive brain computer interface has also made great progress, such as the application of artificial intelligence technology such as deep learning to better decode brain signals, and the development of continuous motion manipulator based on EEG signals.

Source: surging news editor: Qiao JunJing_ NBJ11279