论文标题
电流储层计算机启用了非光谱传感
Non-spectroscopic sensing enabled by electro-optical reservoir computer
论文作者
论文摘要
提出了一种完全由生物启发的设备进行非光谱传感以区分并确定化学混合物的组成浓度。在这里,完全生物启发的意味着它由仿生传感器和神经形态信号处理器组成。就其三色剂结构和重叠的光谱响应而言,该传感器与人眼类似。信息处理器是基于储层计算机的电光实现的神经形态系统。已经开发了基于z双线性转换的时间步变信号算法,以现实地模拟电流储层计算机。这证明了歧视和化学浓度确定任务。我们认为,这样的设备在需要实时监测化学成分的领域(例如化学加工,食品啤酒(发酵/酿造)和环境监测)提供了潜在的好处。
A fully bio-inspired apparatus to perform non-spectroscopic sensing to discriminate, and determine the constituent concentrations of a chemical mixture is proposed. Here, fully bio-inspired means that it is comprised of a biomimetic sensor and a neuromorphic signal processor. The sensor is similar to the human eye in terms of its trichromat architecture and overlapping spectral response. The information processor is a neuromorphic system based on an electro-optical implementation of a reservoir computer. A time-stepping signal algorithm based on the Z-bilinear transformation has been developed to realistically simulate the electro-optical reservoir computer; this demonstrates the discrimination and chemical concentration determination tasks. We believe such an apparatus offers potential benefits in areas in which chemical composition needs to be monitored in real time, for example in chemical processing, and food-beverage (fermentation/brewing) and environmental monitoring.