论文标题
可重新配置的神经网络视觉传感器的栅极可调范德华异质结构
Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor
论文作者
论文摘要
视觉信息的早期处理发生在人类视网膜中。模仿视网膜的神经生物学结构和功能，为通过高效的图像处理实现视觉传感器提供了有希望的途径。在这里，我们演示了一个原型视觉传感器，该传感器通过范德华（VDW）垂直异质结构的栅极可调正和负光反应运行。传感器不仅模拟了双极细胞和感光体的神经生物学功能，而且还模仿双极细胞和感光体之间的独特突触连通性。通过调整每个像素的栅极电压，我们实现了可重新配置的视觉传感器，以同时进行图像传感和处理。此外，可以通过更新单独应用于传感器中每个像素的栅极电压来对我们的原型视觉传感器本身进行训练以对输入图像进行分类。我们的工作表明，VDW垂直异质结构为开发神经网络视觉传感器提供了有希望的平台。
Early processing of visual information takes place in the human retina. Mimicking neurobiological structures and functionalities of the retina provide 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 synaptic connectivity between bipolar cells and photoreceptors. By tuning gate voltage for each pixel, we achieve reconfigurable vision sensor for simultaneously image sensing and processing. Furthermore, our prototype vision sensor itself can be trained to classify the input images, via 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.
