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Predicting the response of olfactory sensory neurons to odor mixtures from single odor response

机译:预测单气味反应的嗅觉感觉神经元对异味混合物的响应

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The response of olfactory receptor neurons to odor mixtures is not well understood. Here, using experimental constraints, we investigate the mathematical structure of the odor response space and its consequences. The analysis suggests that the odor response space is 3-dimensional, and predicts that the dose-response curve of an odor receptor can be obtained, in most cases, from three primary components with specific properties. This opens the way to an objective procedure to obtain specific olfactory receptor responses by manipulating mixtures in a mathematically predictable manner. This result is general and applies, independently of the number of odor components, to any olfactory sensory neuron type with a response curve that can be represented as a sigmoidal function of the odor concentration.
机译:嗅觉受体神经元对气味混合物的响应尚不清楚。这里,使用实验限制,我们研究了气味响应空间的数学结构及其后果。分析表明气味响应空间是三维,并且预测气味受体的剂量响应曲线在大多数情况下可以从具有特定性质的三个主要成分获得。这将通过以数学上可预测的方式操纵混合物来获得目标程序以获得特定的嗅觉受体反应的方式。该结果是通用的,并且与具有响应曲线的任何嗅觉感觉神经元类型的异味组分的数量独立地适用,其响应曲线可以表示为气味浓度的矩形函数。

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