神经形态工程学
感知
光子学
神经科学
计算机科学
心理学
光电子学
人工智能
物理
人工神经网络
作者
Mingchao Li,Li Chen,Kang Ye,Yunzhe Xu,Weichen Song,Cihui Liu,Fangjian Xing,Guiyuan Cao,Shibiao Wei,Zhihui Chen,Yunsong Di,Zhixing Gan
出处
期刊:Research
[American Association for the Advancement of Science]
日期:2024-01-01
卷期号:7: 0526-0526
被引量:22
标识
DOI:10.34133/research.0526
摘要
/solvent/carbon nitride multilayer architecture to emulate synaptic behaviors, such as excitatory postsynaptic currents, paired-pulse facilitation, and long/short-term memory. Intriguingly, the unique radiation direction-dependent photocurrent endows the photonic synapses with the capability of optical writing and rapid optical erasing. Moreover, the photonic synapses exhibit exceptional performance in contrast enhancement and noise reduction owing to the notable synaptic plasticity. In simulations based on artificial neural network (ANN) algorithms, the pre-processing by our photonic synapses improves the recognition rate of handwritten digit from 11.4% (200 training epochs) to 85% (~60 training epochs). Furthermore, due to the excellent feature extraction and memory capability, an array based on the photonic synapses can imitate facial recognition of human retina without the assistance of ANN.
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