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

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

Research output: Contribution to journalArticlepeer-review

300 Scopus citations

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.

Original languageEnglish
Pages (from-to)10015-10023
Number of pages9
JournalJournal of Neuroscience
Volume27
Issue number37
DOIs
StatePublished - 12 Sep 2007
Externally publishedYes

Funding

FundersFunder number
National Institute on Deafness and Other Communication DisordersR01DC006915

    Keywords

    • Hedonics
    • Odor
    • Olfaction
    • Pleasantness
    • Smell
    • Valence

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