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从气味分子结构预测气味愉悦度:愉悦度作为物理世界的一种反映。

Predicting odor pleasantness from odorant structure: pleasantness as a reflection of the physical world.

作者信息

Khan Rehan M, Luk Chung-Hay, Flinker Adeen, Aggarwal Amit, Lapid Hadas, Haddad Rafi, Sobel Noam

机构信息

Helen Wills Neuroscience Institute and Department of Psychology, University of California, Berkeley, Berkeley, California 94720, USA.

出版信息

J Neurosci. 2007 Sep 12;27(37):10015-23. doi: 10.1523/JNEUROSCI.1158-07.2007.

Abstract

Although it is agreed that physicochemical features of molecules determine their perceived odor, the rules governing this relationship remain unknown. A significant obstacle to such understanding is the high dimensionality of features describing both percepts and molecules. We applied a statistical method to reduce dimensionality in both odor percepts and physicochemical descriptors for a large set of molecules. We found that the primary axis of perception was odor pleasantness, and critically, that the primary axis of physicochemical properties reflected the primary axis of olfactory perception. This allowed us to predict the pleasantness of novel molecules by their physicochemical properties alone. Olfactory perception is strongly shaped by experience and learning. However, our findings suggest that olfactory pleasantness is also partially innate, corresponding to a natural axis of maximal discriminability among biologically relevant molecules.

摘要

尽管人们一致认为分子的物理化学特征决定了它们被感知到的气味,但支配这种关系的规则仍然未知。理解这一关系的一个重大障碍是描述感知和分子的特征具有高维度性。我们应用一种统计方法来降低一大组分子的气味感知和物理化学描述符的维度。我们发现,感知的主轴是气味愉悦度,关键的是,物理化学性质的主轴反映了嗅觉感知的主轴。这使我们能够仅通过新分子的物理化学性质来预测其愉悦度。嗅觉感知受到经验和学习的强烈影响。然而,我们的研究结果表明,嗅觉愉悦度也部分是天生的,对应于生物相关分子之间最大可区分性的自然轴。

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