Perceptual metrics for odorants: Learning from non-expert similarity feedback using machine learning

Defining perceptual similarity metrics for odorant comparisons is crucial to understanding the mechanism of olfactory perception. Current methods in olfaction rely on molecular physicochemical features or discrete verbal descriptors (floral, burnt, etc.) to approximate perceptual (dis)similarity bet...

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Detalles Bibliográficos
Autores principales: Kumari, Priyadarshini, Besold, Tarek, Spranger, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631653/
https://www.ncbi.nlm.nih.gov/pubmed/37939067
http://dx.doi.org/10.1371/journal.pone.0291767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631653/
https://www.ncbi.nlm.nih.gov/pubmed/37939067
http://dx.doi.org/10.1371/journal.pone.0291767

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