Shulou(Shulou.com)11/24 Report--

Thanks to CTOnews.com netizen Xiao Zhan for the clue delivery! CTOnews.com, March 20 (Xinhua) scientists in the United States have grown living neurons from 80,000 mouse stem cells and assembled them into a living computer that can recognize simple electrical and optical signals, according to the Science and Technology Daily. The computer can be combined with robots that use living muscle tissue, allowing the robot to perceive and process environmental information. The team presented the study at the March meeting of the American physical Union.

In the study, the team at the University of Illinois at Urbana-Champaign planted about 80,000 neurons from programmed mouse stem cells in a culture dish and placed them between the optical fiber and the electrode grid. to be stimulated by electricity and light. All the parts are packed in a palm-sized box and placed in an incubator to keep the cells alive.

In order to train neuron computers to distinguish different types of signals, the team designed 10 different electrical pulse and flash modes and played them repeatedly within an hour, and used traditional computer chips to record and analyze the electrical signals emitted by neurons. The results show that every time the same pattern is given, the neurons send out the same signal. In addition, the researchers also use reservoir computing technology to allow neurons and chips to collaborate to complete signal recognition and processing tasks, minimizing time and energy consumption.

In order to evaluate the performance of the equipment, the research team used F1 scores to measure the pattern efficiency of neural network recognition, in which 0 is the worst, 1 is the best, and the best score of the equipment is 0.98.

According to CTOnews.com, the device can be used in conjunction with robots made of living muscle tissue, and integrating living neurons into the robot means they can sense their surroundings and process these inputs at the same time.

The researchers say the use of living cells for calculations, especially reservoir calculations, helps to make energy-saving equipment, and even if some components fail, it does not affect the operation of the equipment. Therefore, in some ways, robots that combine living neurons with reservoir computing may have an advantage over traditional robots.

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