A miniaturized synaptic quantum dot light-emitting diode integrating neuromorphic vision and display
Haohong Jiang, Lixiang Chen, Yuanhong Hu, Tongzhou Wei, Qiaoming Zhang, Yuantao Zeng, Shu-Jen Wang, Furong Zhu, Feng Wang, Yanlian LeiArtificial vision systems conventionally segregate sensing, memory, processing, and display into discrete modules, incurring latency, energy penalties, and architectural complexity. Here, we report a miniaturized synaptic quantum-dot light-emitting diode that monolithically integrates optical sensing, charge-storage memory, and visible emission. Featuring a dual-spectrum-sensitive hole transport layer responsive to ultraviolet (UV) and near-infrared (NIR) light, the device achieves wavelength-gated synaptic plasticity. UV stimuli generate minute-scale electroluminescent afterimages via deep-level hole trapping, while NIR pulses enable millisecond-scale relaxation. This spectral asymmetry establishes distinct “write” and “develop/erase” pathways, facilitating privacy-preserving imaging without external circuitry. Furthermore, the device exhibits real-time motion trajectory display with 98.8% direction recognition accuracy via neural network validation and hardware-level adaptive noise filtering that suppresses random spikes while preserving correlated signals. By transforming the emissive layer into an on-device processing element, this architecture removes the need for separate sensor, processor, and display components, offering a compact platform for intelligent vision systems operating beyond the visible spectrum.