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Optoelectronic neuromorphic devices capable of perceiving and memorizing light signals are essential for constructing artificial vision systems. While oxide-semiconductor-based optoelectronic devices are valued for their stable performance and mature fabrication processes, they primarily operate in the near-ultraviolet to near-infrared spectral range, lacking sensitivity to the solar-blind region (<280 nm), which offers extremely low background noise and enhanced signal-to-noise ratios. Herein, this study presents an optoelectronic neuromorphic device array based on wide-bandgap Ga 2 O 3, designed to perceive optical signals in the solar-blind region. Stimulated by a 254 nm light pulse, the device emulates biological visual synaptic plasticity and exhibits tunable relaxation characteristics of postsynaptic current under varying stimuli. Notably, the device array replicates the spatiotemporal integration and processing of signals from multiple preneurons via dendritic structures, demonstrating its potential for implementing advanced neuromorphic computing, including the perception and memory of solar-blind ultraviolet images during learning processes. Moreover, leveraging the tunable relaxation properties of Ga 2 O 3 devices, a forgetting-based artificial neural network is developed to address multisolution problems in complex equations with ultralow power consumption. These findings not only establish an optoelectronic neuromorphic system capable of perceiving solar-blind signals but also broaden its potential applications in low-power computing and intelligent sensing.
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Peng et al. (2025) studied this question.
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