Multifunctional Logic and Synaptic Switchable Devices Based on Polymer Blended Perovskites Inspired by the Optic Nerves of Drosophil

Drosophila's eyes are known for their exceptional sensitivity to moving objects, significantly higher than that of human eyes. This study aims to develop polymer blended perovskite optoelectronic devices with motion detection and self-computation capabilities, inspired by the visual system of Drosophila. By mimicking these natural visual functions, we aim to contribute to the development of high-performance artificial vision systems.<br/>Inspired by the structure of T4 and T5 neurons in the optic nerves of Drosophila, which detect movement, we designed an asymmetric electrode structure that exhibits bipolar photoresponse in a single device. This device shows bipolar photoresponse depending on the position where light is incident, enabling the implementation of six linear logic functions. Logical operations play a crucial role in artificial vision systems, allowing for the effective detection and differentiation of moving objects. Furthermore, to implement nonlinear logic operations (such as XOR and XNOR operations), we developed a triple hybrid material by blending polymers with perovskite. The blended polymer acts as an artificial trap site within the material, extracting an opposite polarity voltage when weak light is applied as the photogenerated charges fill the trap, and extracting the original polarity voltage when strong light is applied as the trap is quickly filled.<br/>Using bipolar photoresponse, we successfully implemented eight multifunctional logic gates, operating linearly and non-linearly, in a single device. These multifunctional logic gates can function effectively in both static and dynamic environments within artificial vision systems. Specifically, they allow for the switching between logic gate and synaptic operations based on the signal interval, operating as logic gates in static environments and as synapses in dynamic environments.<br/>This functional flexibility enhances the adaptability of artificial vision systems, broadening their applicability across various environments. For instance, in static environments, the system can accurately recognize the shape and position of objects, while in dynamic environments, it can respond sensitively to movements and changes.<br/>The polymer blended perovskite optoelectronic device developed in this study offers the advantage of performing complex visual functions simultaneously, unlike traditional single-function devices. This can significantly improve the efficiency and performance of artificial vision systems, suggesting innovative applications in fields such as autonomous vehicles, robotic vision systems, and medical image analysis. Additionally, the design of this device, utilizing asymmetric electrode structures and bipolar photoresponse mechanisms, holds potential for application to other types of sensors and devices. This could contribute to the development of various types of artificial sensory systems.<br/>The polymer blended perovskite optoelectronic device developed in this study successfully implemented motion detection and self-computation functions in artificial vision systems. This is expected to make a significant contribution to the development of future artificial intelligence vision systems. In particular, the implementation of multifunctional logic gates represents a crucial technological advancement that can greatly enhance the adaptability and efficiency of artificial vision systems.