y-inspired neuromorphic vision sensors promise to solve this problem and have received considerable attention, as they simulate in-sensor computation by combining photosensing and synaptic functionalities within a single device. At present, optoelec- tronic synapse systems have rapidly advanced, significantly enhancing their capacity to recognize temporal features and expand spatial dis- tribution. Nevertheless, current artificial vision systems remain limited in detecting and processing visual information under complex light. This limitation constrains their capacity to improve recognition accu- racy and expand multidimensional perception. To address this chal- lenge, it is necessary to develop advanced multidimensional visual sensors that can simultaneously detect spatial distribution, temporal evolution and polarization information, thereby enhancing feature extraction during interactions between visual scenes and sensors. In this work, we propose a polarization-sensitive optoelectronic synapse (PSOS) array device based on PEA2SnI4 microwires array. The optical anisotropy of the highly oriented microwires and asymmetric crystal structure ensure precise polarization recognition, and a dichroic ratio of 1.38 is achieved. By desi
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Multi-dimensional visual information processing under complex light environments using time-evolved polarization-sensitive synaptic electronics
Yaqian Yang, Wenhao Ran, Ying Li, Yancheng Chen, Di Chen, Guozhen Shen
Research context
Biological vision system-inspired optoelectronic synapses integrate sensing, memory, and processing for external information perception. However, most efforts focus on spatial expansion while overlooking critical dimensions like polarization and temporal evolution, which are critical for information extraction in complex environments. Inspired by the polarization-sensitive properties of kingfisher vision, we develop a polarization-sensitive optoelectronic synapse array device based on PEA2SnI4 microwires array. Their anisotropic properties ensure polarization recognition, achieving a dichroic ratio of 1.38. And the asymmetric electrode designs create differentiated contact barriers, facilitating efficient charge storage and erasure under low power consumption. By employing four polarization-state-dependent convolutional kernels, the device demonstrates edge extraction capabilities even under 50% salt pepper noise. Furthermore, it enables high-precision in-sensor reservoir computing, with 100% accuracy in extracting fish trajectories under complex light environments. This work demonstrates motion perception in complex environments and provides a foundation for developing multi-dimen
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Yaqian Yang, Wenhao Ran, Ying Li, Yancheng Chen, Di Chen, Guozhen Shen. Multi-dimensional visual information processing under complex light environments using time-evolved polarization-sensitive synaptic electronics. Nature Communications (2025). https://doi.org/10.1038/s41467-025-61361-5
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