Retina‐Like Chlorophyll Heterojunction‐Based Optoelectronic Memristor with All‐Optically Modulated Synaptic Plasticity Enabling Neuromorphic Edge Detection
Jian Jiang, Xuanyu Shan, Jiaqi Xu, Yuting Sun, Tian‐Fu Xiang, Aijun Li, Shin‐ichi Sasaki, Hitoshi Tamiaki, Zhongqiang Wang, Xiaofeng Wang
Abstract
Abstract Optoelectronic memristors, which possess the potential capacities of in‐sensor computing, promote the development of highly efficient neuromorphic vision. In this work, a novel optoelectronic memristor based on chlorophyll (Chl) heterojunction is proposed, which consists of two types of Chl derivatives (zinc methyl 3‐devinyl‐3‐hydroxymethyl‐pyropheophorbide‐ a and methyl 13 1 ‐deoxo‐13 1 ‐dicyanomethylene‐pyropheophorbide‐ a ). Chl heterojunction improves the optoelectronic performance of the device due to its ability to efficiently separate photogenerated electron‐hole pairs. The device exhibits the synaptic potentiation and inhibition behaviors under light stimulations of 430 and 730 nm, respectively, thus demonstrating the all‐optically modulated synaptic plasticity. The switching mechanism can be attributed to the photo‐ionization/deionization of oxygen vacancies at the zinc oxide (ZnO)/Chl interface. In addition, the image pre‐processing functions of contrast enhancement and noise reduction are implemented in a memristive array. In particular, the edge detection function has been implemented by utilizing reversible optical modulation, which highlights the object outline. The optoelectronic memristor based on the Chl heterojunction proposed here provides a promising foundation for advancing neuromorphic vision.