Ru Huang

Feb 24, 2024 | nature.com | Yanghao Wang |Chen Ge |Teng Zhang |Ru Huang

AbstractConventional circuit elements are constrained by limitations in area and power efficiency at processing physical signals. Recently, researchers have delved into high-order dynamics and coupled oscillation dynamics utilizing Mott devices, revealing potent nonlinear computing capabilities. However, the intricate yet manageable population dynamics of multiple artificial sensory neurons with spatiotemporal coupling remain unexplored.

Jul 24, 2023 | pubmed.ncbi.nlm.nih.gov | Ru Huang |Xiuli Wang

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Jun 21, 2023 | nature.com | Chen Ge |Ru Huang

AbstractPhysiological signal processing plays a key role in next-generation human-machine interfaces as physiological signals provide rich cognition- and health-related information. However, the explosion of physiological signal data presents challenges for traditional systems. Here, we propose a highly efficient neuromorphic physiological signal processing system based on VO2 memristors.