Brain -machine interface is in reality: the latest revelation brought by 5 brain scientists

The brain is complicated and mysterious. Studying the brain is considered one of the ultimate explorations of human beings. As the most complicated scientific exploration field, the research of the brain is both fascinating and daunting.

Will the brain interface technology degenerate humans? Once the brain machine interface technology is applied, will human free will be manipulated by others? How to overcome the subjectivity of our own brain to study the human brain? Can the brain interface release the infinite potential of human beings?

These problems look unrealistic and open -minded, but it is not. Ten years ago, the scenes in science fiction and movies were now entered into reality through science and technology. For example, we have confirmed that brain -machine interface technology can rebuild people's exercise ability, and patients with brain injury rely on ideas to communicate with ideas. In recent years, new progress has been made in brain -machine interface technology, but the public's perception of brain -machine interfaces still has a distance. What are the current bottlenecks in this complex research field? Which step does the brain interface technology research have been explored? What new technologies appear?

On September 16th, the "Neural Technology" international forum from China, the United States, Germany, the Netherlands, and Singapore hosted by the Tianqiao and Chrissy Chen Institute (TCCI) shared it shared by China, the United States, Germany, the Netherlands, and Singapore. The cutting -edge neural technology has deeply explored the application of these technologies in the fields of clinical, psychological and rehabilitation. There will be answers in the forum's most doubtful question. Let us go deep into it to see which brain interfaces of these "strongest brains" of these brains bring.

Trace: The dream of human decoding the brain enters the reality

As early as the 1930s, after the German psychiatrist Hans Berger discovered the EEG, scientists have begun to think about the significance of these brain waves. Since then, people have made many attempts. For example, under the monitoring of EEG, let the subjects imagine the letters, spell, and even directly imagine sentences to let the computer decoding, allowing patients to communicate directly with the outside world through "ideas". These "science fiction" in the past is now gradually becoming reality.

At present, the invasion of neural technology (such as the deep electrode of the brain) is mainly used in the treatment of Parkinson's disease and epilepsy. Although they are accurate and effective, they are also facing challenges such as policy supervision, expensive prices, and vague principles. In contrast, non -invasive technologies (such as multi -guided sleep monitoring systems, etc.) are easier to get approval, but accuracy is not good.

(Professor Gerwin Schalk introduces the study of human language through application neural technology)

In the forum, Professor Gerwin Schalk, director of the TCCI Frontier Lab of the Sky Bridge Institute of Bridge, explained the work of brain scientists: "This is like putting a microphone outside a stadium. It is difficult for you to hear the venue. The sound inside. But if we are full of microphones outside this stadium, we can collect more information. This is what we are doing now. "

Although the application of neural technology has developed rapidly in the past century, there are very few successful cases that are really applicable to patients and the public. There is still a long way from laboratory research to final applications. Essence The brain interface research system developed by Professor Schalk's team is outstanding. Traditional electric stimulus detection brain function areas may take several hours, and the system developed by Professor Schalk's team only takes a few minutes. Today, this system has been widely used worldwide. Facing the future, Professor Schalk hopes to continue to study in -depth research on brain areas that are suitable for China's large -scale crowd of brain machine interface at the Tianqiao Brain Science Research Institute (TCCI).

Although the field of brain science is complicated, it has always been rising. As a top brain scientist, Professor Schalk believes that the exploration of brain science requires pragmatic, not just staying in beautiful concepts and design. The scientific community must make continuous and systematic efforts and start in the direction of solving practical problems. In -depth exploration in the field of brain science allows us to understand the brain in a new dimension.

Yuan brain: use digital technology to simulate human brain

If you travel deep into the brain, apply digital technology to restore the dynamic condition of the brain and build a digital brain, which can vividly understand and explore the brain. For example, in the state of disease, the brain will produce a series of changes. If a digital brain corresponding to it can be established and the dynamic development and evolution of the disease can help us better understand its mechanism, accurately predict and develop development A more accurate treatment plan.

(Professor Hong Bo introduced the concept of Yuan brain and the composition of the Yuanbrain dynamic system)

In the forum, Professor Hong Bo, Department of Biomedical Engineering, Tsinghua University shared the emerging concept of "Meta Brain" and his team related work in this field. "You may be difficult to imagine countless beautiful mathematical formulas that can explain the operating mechanism of the human brain." At the meeting, according to Professor Hong Bo, the idea of ​​Yuan brain is to use the brain interface technology to establish a dynamic digital model of the brain to help enhance understanding and understanding The function of the brain reappears the physiological and pathological process, and ultimately achieves the purpose of application.

The opportunity of the rapid development of the brain is the express train that takes on cutting -edge technology, including neurological imaging, brain electrical physiology and computer technology, etc., all of which are in depth of the research of the Yuan brain. Professor Hong Bo introduced many scientists' work on brain digital reconstruction, such as static Yuan Yuan brain, dynamic stimulation of the Yuan brain, and even dynamic epilepsy brain. These brain digital reconstruction work is consolidating the foundation for building a future disease digital brain and digital twin brain. In the process of continuous development of brain -machine interface technology, the biggest controversy is the risk of ethics. There are many ethical discussions in the field of brain science, and supporters and opponents have their own positions. As a senior scientist in the field of brain science, Professor Hong Bo proposed a solution. Professor Hong Bo believes that at present, the brain interface is still in the research stage, and all research experiments must pass the subject's knowledge consent, so the risk of ethics is small. In the future, if the brain -machine interface technology has been widely used, the risk of human brain or consciousness can be lurked, detected, and even remotely invading, which may cause serious social problems. Perhaps in the future, we can learn from the ethical risks of gene editing to learn from some ethical treatment methods for the application of brain interface technology.

Brainpiece interface+psychology: rebuilding the bridge of spiritual communication

At present, 20%of people around the world have undergone the influence of neurological disorders, half of which are related to psychological health and affect nearly 1 billion people. At present, the main treatment method is drug treatment and psychotherapy, but patients often need long -term treatment to produce effects. The brain interface has huge potential in the treatment of mental health.

For example, the application of brain machine interface technology in clinical atresia syndrome. According to Professor Nick Ramsey of the Medical Center of Udechi University in the Netherlands, the atresia syndrome can occur in advanced diseases such as motor neuron disease, stroke, muscle atrophy side sclerosis. External communication is very painful. In order to improve the quality of life of such patients, Professor Ramsey's team carried out many years of research.

(Professor Nick Ramsey Introduction to the case of the atresia syndrome who benefited from the brain interface technology)

Professor Ramsey's team created a household brain machine interface equipment that can help them communicate independently and outside the outside world for patients with atresia syndrome. Earlier, they have applied this system for a patient with a 58 -year -old late -time lock syndrome. By decoding the software algorithm, patients can enter about two letters per minute after repeated practice, and the accuracy rate is close to 90%. Related cases were published in the New England Medical Journal in 2016. Now more than 6 years have passed, the patient is still using the device, and the daily use time can reach 20 hours. The device has become the only channel for patients to communicate with the outside world.

In addition, Professor Ramsey also introduced several other technical research progress that can help patients communicate directly with the outside world. The interface directly decodes the statement that patients want to express and presented on the screen. The new progress of these brain interfaces has a strong heart to many researchers and patients in the field of brain science, bringing hope for everyone. In addition to the treatment of psychological diseases, the rehabilitation therapy of the brain interface has attracted much attention.

Brainpiece interface+recovery: help patients regain their confidence in life

The integration of brain machine interface and neural regulation technology can not only help us discover important connections between brain vibration, brain function and behavior, but also greatly improve the patient's movement function. Brain -machine interface technology is a very effective clinical rehabilitation tool.

(Professor SOEKADAR shows the case of recovery activities after the application of the brain interface technology)

The non -invasive brain interface of the SOEKADAR team at the University of Berlin Medical Center, the matching application of the non -invasive brain interface+exoskeleton motion instructions of the brain can be decoded and stimulated the stimulation, so that patients with severe spinal cord injury can regain some self -care skills, Such as grasping, eating, drinking water, etc. a series of daily activities. In practical applications, some patients with exercise disorders can complete some self -care activities through this technology, which greatly improves the quality of life of patients. Although there are still many challenges such as infection with bleeding, non -permanent permissions, surgery and expensive prices such as infection with bleeding, no permanent use permissions, no surgery and expensive prices, the clinical application of brain interface+exoskeleton is huge value. More and more clinical trials are verifying the prospects of rehabilitation training for brain interfaces in rehabilitation training.

(Professor SOEKADAR talks about the outlook of the next -generation brain -machine interface technology breakthrough)

In the future of the second-generation brain-machine interface technology, Professor SOEKADAR believes that it can integrate work memory, emotional regulation and movement-sensory interaction into the system to achieve adaptive brain function stimuli and achieve stability and improvement of brain function. In addition to rehabilitation training, the research of the team's brain -machine interface also advances in the direction of rebuilding mental health to achieve the integration of future emotional regulation and sports rehabilitation.

Professor Guan Cuntai, the School of Computer Science and Engineering, Nanyang University of Technology in Singapore, believes that the theoretical basis for functional recovery to function recovery is neuroplassical. The so -called nerve plasticity means that the brain can continuously reshape the connection between neurons after being damaged. The rehabilitation of nervous system diseases is to achieve some functional recovery by stimulating the brain through destinations. (Professor Guan Cuntai introduced the research results of new types of non -invasive brain machine interface based on deep learning and other algorithms)

Professor Guan Cuntai used the brain -machine interface technology to conduct aimal exercise rehabilitation training for stroke patients. And Professor Guan Cun Tai also proposed that in addition to exercise rehabilitation, the brain interface can help patients with mental psychological recovery after stroke. In the research of Professor Guan Cun Tai, the new non -invasive brain interface technology based on deep learning and other algorithms can make the accuracy of the understanding of stroke patients from 68.6%of the traditional brain interface technology to nearly 90%.

The team found through the exploration of children's multi -dynamic disease, decline in cognitive function of the elderly, social anxiety, and extensive anxiety through the research of brain machine interface rehabilitation technology. With training, achieve the results of improving attention, strengthening cognition, and relieving anxiety. The results of these experiments are constantly inspiring scientific researchers in the field of brain science, and they have also brought the gospel to patients to improve the quality of survival.

In this forum, we saw the most cutting -edge technical research and the latest landing situation of the brain interface. Brain scientists bring the brain interface technology in the cutting -edge laboratory from theoretical to the clinic, bringing the hope of many patients with the quality of survival, and also opened a window to look at the future brain for the general public. The exploration of brain diseases and the study of brain sciences make us approaching the "black hole" world in the depths of the brain. Although the process is difficult and the journey is far away, brain science research is accumulating potential energy and step by step.

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