Scientists build neuron circuits on chips

Studying the communication and coordination of human brain neural networks is one of the biggest challenges in modern neuroscience. According to the report of the American Physicists Organization Network on July 13 (Beijing time), the Tel Aviv University’s School of Power Engineering recently developed a new chip lab platform that uses advanced materials and tissue engineering techniques to combine neurons and electronics. , study the working principle of brain neural network. Research papers were published in the latest issue of "Science Public Libraries and Integration."

Mark Sunn, a doctoral student at the Institute of Power Engineering at Tel Aviv University in Israel, said that the computer's logical operations are based on human logic, but the computer's information processing process can be broken down into a single logical step, but the human brain's information processing process is not. The human brain is interconnected by a large number of circuits. The brain circuit works like a code. We can study the logic of the human brain by simplifying the brain neural network and controlling the connections between cells.

Researchers use electrodes and living nerve cells to connect into a special structure that allows them to generate various neural networks and network groups of different sizes in a petri dish, and activate a neuron circuit on the chip through a lab-on-a-chip technology. Observe the neural network response to different chemical signals and external conditions.

By applying external stimuli, such as a bright light, researchers can monitor the response of visual neurons. "We think this process has adopted a coding strategy." Shien said that relatively simple "light up" of the nerves can be accepted by the senses of the ears, eyes and other senses, but for more complicated processes such as "ideological" processes or different feelings The organs are input and output at the same time, basically still a black box.

It is difficult to study the function of a single neuron and the function of the entire neural network is difficult to understand. Prof. Jon Hein, a professor at Mentor and Prof. Elsir Ben-Jacob of the School of Physics and Astronomy, further conducted research on larger neural network circuits. Observed to find the basic elements of brain information coding. They use nanotechnology system tools to simultaneously detect the behavior of multiple neurons, and in particular probe the communication between multiple neurons at nodes where a large number of nerves meet.

When they observed these nerve groups, they found that the response of these nerve groups was unpredictable by a single neuron. This means that neural networks have a hierarchical structure, and large networks consist of smaller subnetworks. The researchers explained that a neural group must be able to support neural network activities and communicate with other groups. This requires at least 40 neurons to complete its various tasks in the functional network.

The researchers also stated that the tools they developed can also be used to test new drugs, or as an advanced artificial intelligence, and help connect the brain and artificial prostheses.

When editors have been meticulous about the "precision," we have forgotten that the things that best fit these two words are inside the human body. Even with the help of the computer developed at the speed of the ultra-Moore law, we can only find ourselves in the vain experiment of the cranial nerve. The traditional scientific thinking from the point to the face and from the local to the whole has completely failed in front of the brain. This "black box" is truly a work of art. The existing means of scientific and technological exploration are still in its infancy. Therefore, as far as the process is concerned, the excavation path for Israeli scientists is still a long time away. But to help people with disabilities connect their brains and prosthetic limbs, they should expect to do so early. Because of the guarantee of people's right to manipulate the human body's machine, the significance is better than revealing the machine.

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