Recently, fully optical-driving neuromorphic devices have attracted growing interest. However, the current device faces great challenges due to the lack of negative photoconductivity materials, which seriously hinders the further development of the visual perceptual applications using photosensitive device. Here, we propose an ionotronic neuromorphic InGaZnO₄ phototransistor to establish a fully optical-driving artificial neural network. Optical neuronal paired-pulse facilitation can be switched to optical depression characteristics by tuning the gate bias more negatively through the ion-coupling bioelectrolyte. Moreover, the biological high-pass, low-pass, and band-stop photofilter behaviors can be successfully mimicked in such an all-in-one phototransistor. Finally, a fully optical-driving artificial neural network is constructed to perform artificial visual perception with an accuracy of ~90%. This device may open new avenues for the fascinating applications, such as artificial visual system, intelligent bionic robots, and smart photoelectric devices.

中文翻译：

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用于栅极可调双向光电滤波和视觉感知的全光驱动离子电子 InGaZnO4 光电晶体管


最近，全光学驱动的神经形态设备引起了越来越多的兴趣。然而，由于负性光电导材料的缺乏，目前的器件面临着巨大的挑战，严重阻碍了光敏器件视觉感知应用的进一步发展。在这里，我们提出了一种离子电子神经形态InGaZnO ₄光电晶体管来建立完全光学驱动的人工神经网络。通过离子耦合生物电解质将门偏压调整得更负，可以将光学神经元配对脉冲促进转换为光学抑制特性。此外，在这种一体化光电晶体管中可以成功模拟生物高通、低通和带阻光电滤波器的行为。最后，构建了一个完全光学驱动的人工神经网络，以执行人工视觉感知，准确度约为 90%。该设备可能为人工视觉系统、智能仿生机器人和智能光电设备等令人着迷的应用开辟新的途径。