@article{Li2026, 
author = {Jixiu Li and Yuanzheng Li and Qingbin Wang and Chuxin Yan and Yongsheng Gao and Wei Xin and Weizhen Liu and Haiyang Xu and Yichun Liu},
title = {Tetrachromatic photonic synaptic arrays using WS2 monolayers for bioinspired neuromorphic retinas},
year = {2026},
journal = {Nano Research},
volume = {19},
number = {3},
pages = {94908375},
keywords = {neuromorphic computing, monolayer WS2, tetrachromatic vision, band nesting region, optoelectronic synapse array},
url = {https://www.sciopen.com/article/10.26599/NR.2026.94908375},
doi = {10.26599/NR.2026.94908375},
abstract = {Artificial tetrachromatic vision significantly enhanced color discrimination by enabling the detection and spectral decoding of ultraviolet (UV) and visible wavelengths. Inspired by the butterfly visual system, we develop a tetrachromatic optoelectronic synapse utilizing monolayer WS2 as the core element, effectively integrating sensing, memory, and processing capabilities. The constructed device demonstrates wavelength-sensitive synaptic excitatory behaviors under both visible and UV stimuli, successfully emulating key synaptic functions, including short-term potentiation (STP), long-term potentiation (LTP), and long-term depression (LTD), which achieves an ultralow power consumption of 2.28 aJ. An 8 × 8 retinal synapse array was constructed to achieve high-fidelity tetrachromatic image sensing and memory while enabling color discrimination. Furthermore, the image preprocessing is realized in the optoelectronic synapse array based on visual attention for color, which resulted in an enhancement of the recognition accuracy of the tetrachromatic image to over ~ 98%. This work has precipitated the development of next-generation neuromorphic vision systems that require UV–visible spectral intelligence.}
}