Breakthrough in Bioelectronics: Artificial Neurons Mimic Nature

The pursuit of creating artificial neurons that can seamlessly interact with biological systems has been a longstanding goal in the field of bioelectronics. Recent breakthroughs in this area reflect broader industry trends towards developing more efficient and sustainable computing solutions. A team of engineers at the University of Massachusetts Amherst, led by associate professor Jun Yao, has made a significant leap forward by designing artificial neurons that operate at remarkably low voltages, closely mimicking the electrical activity of natural brain cells.

This innovation builds upon the team’s earlier research utilizing protein nanowires produced by the electricity-generating bacteria Geobacter sulfurreducens. The new artificial neurons register at only 0.1 volts, comparable to the voltage of natural neurons in the human body. As graduate student Shuai Fu notes, “Our brain processes an enormous amount of data” with significantly lower power usage compared to traditional computer circuits. For instance, writing a story uses approximately 20 watts of power in the human brain, whereas a large language model like ChatGPT requires over a megawatt to accomplish the same task.

The potential applications of this technology are vast, ranging from the development of bio-inspired computers that can operate with greater efficiency to electronic devices that can directly communicate with the human body. According to Yao, “We currently have all kinds of wearable electronic sensing systems, but they are comparatively clunky and inefficient.” The use of low-voltage neurons could eliminate the need for signal amplification, reducing both power consumption and circuit complexity.

This research, supported by the Army Research Office, the U.S. National Science Foundation, the National Institutes of Health, and the Alfred P. Sloan Foundation, underscores the importance of interdisciplinary approaches in advancing technological innovation. As the field of bioelectronics continues to evolve, breakthroughs like these artificial neurons will play a crucial role in shaping the future of computing and beyond.

Source: Official Link