首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Predicting odor pleasantness from odorant structure: pleasantness as a reflection of the physical world.
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Predicting odor pleasantness from odorant structure: pleasantness as a reflection of the physical world.

机译:从气味结构预测气味的愉悦感:愉悦感是对物理世界的一种反映。

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摘要

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.
机译:尽管已经同意,分子的物理化学特征决定了它们的感知气味,但是控制这种关系的规则仍然未知。这种理解的一个重要障碍是描述感知和分子的特征的高维度。我们应用了一种统计方法来减少大量分子的气味感知和理化指标的维数。我们发现感知的主轴是气味的愉悦感,并且至关重要的是,理化特性的主轴反映了嗅觉的主轴。这使我们能够仅通过其理化性质来预测新型分子的舒适性。嗅觉是受经验和学习的强烈影响。但是,我们的发现表明,嗅觉愉悦性也是部分固有的,与生物学相关分子之间最大可分辨性的自然轴相对应。

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