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Optoelectronic graded neurons for bioinspired in-sensor motion perception
Nature Nanotechnology ( IF 38.3 ) Pub Date : 2023-04-20 , DOI: 10.1038/s41565-023-01379-2
Jiewei Chen 1, 2 , Zheng Zhou 3 , Beom Jin Kim 4 , Yue Zhou 1 , Zhaoqing Wang 1 , Tianqing Wan 1 , Jianmin Yan 1 , Jinfeng Kang 3 , Jong-Hyun Ahn 4 , Yang Chai 1, 2
Affiliation  

Motion processing has proven to be a computational challenge and demands considerable computational resources. Contrast this with the fact that flying insects can agilely perceive real-world motion with their tiny vision system. Here we show that phototransistor arrays can directly perceive different types of motion at sensory terminals, emulating the non-spiking graded neurons of insect vision systems. The charge dynamics of the shallow trapping centres in MoS2 phototransistors mimic the characteristics of graded neurons, showing an information transmission rate of 1,200 bit s−1 and effectively encoding temporal light information. We used a 20 × 20 photosensor array to detect trajectories in the visual field, allowing the efficient perception of the direction and vision saliency of moving objects and achieving 99.2% recognition accuracy with a four-layer neural network. By modulating the charge dynamics of the shallow trapping centres of MoS2, the sensor array can recognize motion with a temporal resolution ranging from 101 to 106 ms.



中文翻译:

用于仿生传感器内运动感知的光电分级神经元

运动处理已被证明是一项计算挑战,需要大量的计算资源。与此形成对比的是,飞虫可以用它们微小的视觉系统敏捷地感知现实世界的运动。在这里,我们展示了光电晶体管阵列可以直接感知感觉终端的不同类型的运动,模拟昆虫视觉系统的非尖峰分级神经元。MoS 2光电晶体管中浅层捕获中心的电荷动力学模拟了分级神经元的特征,显示出1,200 bit s -1的信息传输速率并有效地编码时间光信息。我们使用20×20的光电传感器阵列来检测视野中的轨迹,可以有效感知运动物体的方向和视觉显着性,并通过四层神经网络实现99.2%的识别准确率。通过调制MoS 2浅捕获中心的电荷动力学,传感器阵列可以识别时间分辨率范围为10 1至10 6 毫秒的运动。

更新日期:2023-04-21
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