Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor
Chenyu Wang, Shi‐Jun Liang, Shuang Wang, Pengfei Wang, Zhu‐An Li, Zhongrui Wang, Anyuan Gao, Chen Pan, Chuan Liu, Jian Liu, Huafeng Yang, Xiaowei Liu, Wenhao Song, Cong Wang, Bin Cheng, Xiaomu Wang, Kunji Chen, Zhenlin Wang, Kenji Watanabe, Takashi Taniguchi, J. Joshua Yang, Feng Miao
Abstract
Early processing of visual information takes place in the human retina. Mimicking neurobiological structures and functionalities of the retina provides a promising pathway to achieving vision sensor with highly efficient image processing. Here, we demonstrate a prototype vision sensor that operates via the gate-tunable positive and negative photoresponses of the van der Waals (vdW) vertical heterostructures. The sensor emulates not only the neurobiological functionalities of bipolar cells and photoreceptors but also the unique connectivity between bipolar cells and photoreceptors. By tuning gate voltage for each pixel, we achieve reconfigurable vision sensor for simultaneous image sensing and processing. Furthermore, our prototype vision sensor itself can be trained to classify the input images by updating the gate voltages applied individually to each pixel in the sensor. Our work indicates that vdW vertical heterostructures offer a promising platform for the development of neural network vision sensor.