Article

Expansive Linguistic Representations to Predict Interpretable Odor Mixture Discriminability

2022-04-11

Abstract excerpt

Language is often thought as being poorly adapted to precisely describe or quantify smell and olfactory attributes. In this work, we show that semantic descriptors of odors can be implemented in a model to successfully predict odor mixture discriminability, an olfactory attribute. We achieved this by taking advantage of the structure-to-percept model we previously developed for monomolecular odorants, using chemic...

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Literature Corpus work: 69cda38a-6113-5f98-91fc-0dc719abb01d
DOI: 10.1101/2022.04.11.487927

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