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Cited by 408

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Predicting Odor Pleasantness from Odorant Structure: Pleasantness as a Reflection of the Physical World

Open access
Khan, Rehan M., Luk, Chung-Hay, Flinker, Adeen, Aggarwal, Amit, Lapid, Hadas, Haddad, Rafi, Sobel, Noam·2007·The Journal of Neuroscience

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.

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Crossref · 10.1523/jneurosci.1158-07.2007

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Metadata

Authors
Khan, R. M., Luk, C.-H., Flinker, A., Aggarwal, A., Lapid, H., Haddad, R., & Sobel, N.
Venue
The Journal of Neuroscience
Published
2007-09-12
Volume
27
Issue
37
Pages
10015-10023
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2124218262
Cited by
408
References
2
FWCI
4.80
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Predicting Odor Pleasantness from Odorant Structure: Pleasantness as a Reflection of the Physical World. https://app.cochat.ai/papers/10.1523/jneurosci.1158-07.2007
The paper
Khan, R. M., Luk, C.-H., Flinker, A., Aggarwal, A., Lapid, H., Haddad, R., & Sobel, N. (2007). Predicting Odor Pleasantness from Odorant Structure: Pleasantness as a Reflection of the Physical World. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.1158-07.2007

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.