What the odor is not: Estimation by elimination.
What the odor is not: Estimation by elimination.
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DOI：
10.1103/physreve.104.024415
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发表时间：
2021-08
期刊：
影响因子：
--
通讯作者：
Balasubramanian V
中科院分区：
文献类型：
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作者：
Singh V;Tchernookov M;Balasubramanian V
嗅觉系统使用少量广泛敏感的受体组合编码大量的气味。我们提出了一种解码这种分布式表示的方法，利用统计事实：受体不响应气味比受体，因为他们的信号没有所有的气味结合到他们进行更多的信息。因此，更容易识别气味不是什么，而不是气味是什么。对于现实数量的受体，响应函数和气味复杂性，这种消除方法将一个欠约束的解码问题转化为一个可解的问题，允许准确确定混合物中的气味及其浓度。我们构造了一个神经网络实现我们的算法的基础上的嗅觉通路的结构。
Olfactory systems use a small number of broadly sensitive receptors to combinatorially encode a vast number of odors. We propose a method of decoding such distributed representations by exploiting a statistical fact: receptors that do not respond to an odor carry more information than receptors that do because they signal the absence of all odorants that bind to them. Thus, it is easier to identify what the odor is not, rather than what the odor is. For realistic numbers of receptors, response functions, and odor complexity, this method of elimination turns an underconstrained decoding problem into a solvable one, allowing accurate determination of odorants in a mixture and their concentrations. We construct a neural network realization of our algorithm based on the structure of the olfactory pathway.