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Information coding in artificial olfaction multisensor arrays

机译:人工嗅觉多传感器阵列中的信息编码

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High-density sensor arrays were prepared with microbead vapor sensors to explore and compare the information coded in sensor response profiles following odor stimulus. The coded information in the sensor-odor response profiles, which is used for odor discrimination purposes, was extracted from the microsensor arrays via two different approaches. In the first approach, the responses from individual microsensors were separated (decoded array) and independently processed. In the second approach, response profiles from all microsensors within the entire array, i.e., the sensor ensemble, were combined to create one response per odor stimulus (nondecoded array). Although the amount of response data is markedly reduced in the second approach, the system shows comparable odor discrimination rates for the two signal extraction methods. The ensemble approach streamlines system resources without decreasing system performance. These signal compression approaches may simulate or parallel information coding in the mammalian olfactory system. [References: 32]
机译:用微珠蒸汽传感器制备了高密度传感器阵列,以探索和比较气味刺激后传感器响应曲线中编码的信息。通过两种不同的方法从微传感器阵列中提取了用于气味识别的传感器气味响应配置文件中的编码信息。在第一种方法中,来自单个微传感器的响应被分离(解码阵列)并独立处理。在第二种方法中,来自整个阵列内所有微传感器的响应曲线,即传感器集合,被组合起来以产生每个气味刺激一个响应(未解码的阵列)。尽管在第二种方法中响应数据量明显减少,但是对于两种信号提取方法,系统显示出可比的气味识别率。集成方法可在不降低系统性能的情况下简化系统资源。这些信号压缩方法可以在哺乳动物嗅觉系统中模拟或并行信息编码。 [参考:32]

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