Ultrasensitive Flexible Memory Phototransistor with Detectivity of 1.8×1013 Jones for Artificial Visual Nociceptor

Emerging intelligent devices that can simulate an artificial intelligence vision system are of great interest for the development of modern information technology. Nociceptor is a crucial sensory neuron that recognizes harmful inputs and sends pain signals to the central nervous system to avoid injury; however, visual nociceptors, considered to be a key bionic function to protect eyesight based on optoelectronic devices, have yet to be developed. Herein this study, a three‐terminal flexible memory phototransistor (MPT) is first fabricated, which simulates the visual nociceptive behavior by adjusting light stimulation. The CsPbBr3 quantum‐dots (QDs)‐few‐layered black phosphorous nanosheets (FLBP NSs) heterojunction MPT demonstrates high responsivity of 7.2 × 103 AW−1 and high detectivity of 1.8 × 1013 Jones due to the high absorption coefficient of CsPbBr3 QDs materials and a high carrier transport property of FLBP NSs. Moreover, the proposed device can be used to emulate ultraviolet‐stimuli‐induced characteristics of visual nociceptors such as a threshold, no adaption, relaxation, allodynia, and hyperalgesia. It provides a new avenue for the realization of next‐generation neural‐integrated devices via its visual pain sense‐perception abilities. The three‐terminal flexible memory phototransistor (MPT) shows nociceptive behavior with modulation of optical stimuli. For such a flexible MPT, a high responsivity of 7.2 × 103 AW−1 and detectivity of 1.8 × 1013 Jones can be achieved. Moreover, this MPT can be used to emulate photonic nociceptor including threshold, no adaption, and relaxation along with allodynia and hyperalgesia in response to optical input stimuli.