Synaptic Feature\nof Quantum Dot Light-Emitting Diodes\nfor Visualization of Learning Process

Brain-inspired electronics with synaptic\nfunctions hold\nsignificant\npromise for advancing artificial intelligent applications. In this\nstudy, we demonstrate the synaptic feature of quantum-dot light-emitting\ndiodes (QLEDs), which can convert electrical pulses into synapse-like\nlight signals (the brightness gradually increases as the electrical\npulses are prolonged). These features are analogous to learning and\nforgetting in biological synapses. The enhancement of brightness can\nbe attributed to the reduction of charge transfer from the quantum\ndots to ZnO electron transport layer and resistive switching effect.\nWith an integrated complementary metal-oxide-semiconductor (CMOS)\ndrive, arrayed synaptic QLEDs can simulate the visualization of brain-like\nlearning processes, which can reduce the noise toward high image recognition\nrate (>95.0%) by deep neural networks. Our findings introduce a\nnovel\nbrain-inspired optoelectronic approach with potential applications\nin optical neuromorphic systems.