Tsinghua University explores memristors for neural signal analysis

The group around WU Huaqiang has demonstrated that memory resistor- or memristor-based systems are capable to analyze signals in the analog domain with high efficiency. As a proof-of-concept demonstration, memristor arrays were used to implement the filtering and identification of epilepsy-related neural signals, achieving a high accuracy of 93.46%. Remarkably, the memristor-based system showed a nearly 400fold improvement in power efficiency compared to state-of-the-art complementary metal-oxide-semiconductor systems. 

https://www.nature.com/articles/s41467-020-18105-4