Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor
By Chen-Yu Wang, S. Liang, Shuang Wang, Pengfei Wang, Zhuan Li, Zhongrui Wang, Anyuan Gao, Chen Pan, Chuan Liu, Jian Liu and 12 more. Science Advances, 2020
392 citations recorded by the source corpus.
A reconfigurable neural network vision sensor is proposed by using gate-tunable photoresponse of van der Waals heterostructures. 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.
Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Materials Chemistry
View Paper: https://www.semanticscholar.org/paper/ec6b97b868e41b5346fa1e7604f92592695230bb
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Citations in the corpus
- All-in-one two-dimensional retinomorphic hardware device for motion detection and recognition (2021, background): “Currently, retina-inspired vision sensors are emerging 7,8 , with functional materials ranging from memristive oxides 9 to two-dimensional (2D) materials and their heterostructures 5,10 .”