Professor Yu Xinge of City University of Hong Kong, Professor Yu Junsheng of University of Electronic Science and Technology of China, and Professor Song Enming of Fudan University proposed an ultra-thin, lightweight and flexible 100-channel neural interface based on organic electrochemical transistor array, which accurately records transient electrophysiological information with the flexible features compatible with tissue mechanics, and can independently degrade after the task is completed, avoiding potential harm caused by secondary removal surgery. It achieves a high spatiotemporal resolution of 1.42 milliseconds and 20 microns, and a signal-to-noise ratio of ~37dB.
