Light-Adapted Optoelectronic-Memristive\nDevice for\nthe Artificial Visual System

With the development of artificial intelligence systems,\nit is\nnecessary to develop optoelectronic devices with photoresponse and\nstorage capacity to simulate human visual perception systems. The\nkey to an artificial visual perception system is to integrate components\nwith both sensing and storage capabilities of illumination information.\nAlthough module integration components have made useful progress,\nthey still face challenges such as multispectral response and high\nenergy consumption. Here, we developed a light-adapted optoelectronic-memristive\ndevice integrated by an organic photodetector and ferroelectric-based\nmemristor to simulate human visual perception. ITO/P3HT:PC71BM/Au\nas the light sensor unit shows a high on/off ratio (<i>I</i><sub>ph</sub>/<i>I</i><sub>d</sub>) reaching ∼5\n× 10<sup>4</sup> at 0 V. The memristor unit, consisting of ITO/CBI@P(VDF-TrFE)/Cu,\nhas a <i>R</i><sub>ON</sub>/<i>R</i><sub>OFF</sub> ratio window of ∼10<sup>6</sup> under 0.05 V read voltage\nand ultralow power consumption of ∼1 pW. Moreover, the artificial\nvisual perception unit shows stable light-adapted memory windows under\ndifferent wavelengths of irradiation light (400, 500, and 600 nm;\nthey meet the spectral range of human visual recognition) and can\nclearly identify the target image (“T” shape) because\nof the apparent contrast, which results from the high <i>R</i><sub>OFF</sub>/<i>R</i><sub>ON</sub> ratio values. These\nresults provide a potential design strategy for the development of\nintelligent artificial vision systems.