Peilun Qiu
Papers
2
Total Citations
68
H-Index
2
About
Peilun Qiu is a leading researcher at the intersection of bioinspired electronics and neuromorphic computing, with a focus on developing next-generation artificial sensory systems. Their major contributions lie in constructing flexible, low-power devices that mimic biological sensory neurons and nociceptors—pain-sensing neurons. In a highly cited 2022 work (49 citations), Qiu engineered a bio-inspired tactile nociceptor by integrating wearable sensing paper with a VO₂ threshold switching memristor. This device uniquely replicates key nociceptor features such as threshold, relaxation, and sensitization phenomena like allodynia and hyperalgesia, while also demonstrating high sensitivity for monitoring human movements and physiological signals. In another notable study (19 citations), Qiu developed a low-power, flexible artificial sensory neuron capable of tactile perceptual and associative learning, achieving remarkable device uniformity, a large memory window of 500, and excellent plasticity. This system enabled pattern recognition simulations with an impressive ~89.81% accuracy, showcasing the potential for neuromorphic networks. Qiu’s work is pioneering the path toward electronic skins and neural prosthetics that can sense, learn, and adapt like their biological counterparts.
Research Focus
Key Achievements
Top Papers
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