ArticleBMC neuroscience2016
Olfactory perception of chemically diverse molecules.
Article in BMC neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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Who cites it
63 citing papers in PubMed.
- The Wire Is Not the Territory: Understanding Representational Drift in Olfaction With Dynamical Systems Theory.Topics in cognitive science · 2026Article
- Decoding Smell from Receptor Structure.Research square · 2026Article
- Overview of AI-Based Scent Creation.Sensors (Basel, Switzerland) · 2026Review
- Decoding odor responses: universal patterns and individual signatures in psychophysiology using nonlinear models.Chemical senses · 2026Article
- Hierarchies of smell: structuring the molecular odor space using semantic taxonomies and machine learning.Chemical senses · 2026Article
- The sound of smell: crossmodal correspondences between sound and odor.Frontiers in psychology · 2026Article
- The human brain modulates sniffs according to fine-grained perceptual features of odours.Nature human behaviour · 2026Article
- Wider Than the Sky: An Alternative to "Mapping" the World Onto the Brain.The European journal of neuroscience · 2025Article
- An odorant receptor for a key odor constituent of ambergris.Communications biology · 2025Article
- Shapley Fields Reveal Chemotopic Organization in the Mouse Olfactory Bulb Across Diverse Chemical Feature Sets.bioRxiv : the preprint server for biology · 2025Article
- A dataset of laymen olfactory perception for 74 mono-molecular odors.Scientific data · 2025Article
- A standardized lexicon of body odor words crafted from 17 countries.Scientific data · 2025Article
- MORE-Q, a dataset for molecular olfactorial receptor engineering by quantum mechanics.Scientific data · 2025Article
- Odors as cognitive constructs: history of odor classification and attempts to map odor percepts to physical and chemical parameters.Chemical senses · 2025Review
- Odor classification: Exploring feature performance and imbalanced data learning techniques.PloS one · 2025Article
- Pyrfume: A window to the world's olfactory data.Scientific data · 2024Article
- Microalgae as a potential raw material for plant-based seafood alternatives: A comprehensive review.Food science & nutrition · 2024Review
- Regression Study of Odorant Chemical Space, Molecular Structural Diversity, and Natural Language Description.ACS omega · 2024Article
- High-precision mapping reveals the structure of odor coding in the human brain.Nature neuroscience · 2023Article
- Physicochemical features partially explain olfactory crossmodal correspondences.Scientific reports · 2023Article
3 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
backgroundUnderstanding the relationship between a stimulus and how it is perceived reveals fundamental principles about the mechanisms of sensory perception. While this stimulus-percept problem is mostly understood for color vision and tone perception, it is not currently possible to predict how a given molecule smells. While there has been some progress in predicting the pleasantness and intensity of an odorant, perceptual data for a larger number of diverse molecules are needed to improve current predictions. Towards this goal, we tested the olfactory perception of 480 structurally and perceptually diverse molecules at two concentrations using a panel of 55 healthy human subjects.
resultsFor each stimulus, we collected data on perceived intensity, pleasantness, and familiarity. In addition, subjects were asked to apply 20 semantic odor quality descriptors to these stimuli, and were offered the option to describe the smell in their own words. Using this dataset, we replicated several previous correlations between molecular features of the stimulus and olfactory perception. The number of sulfur atoms in a molecule was correlated with the odor quality descriptors "garlic," "fish," and "decayed," and large and structurally complex molecules were perceived to be more pleasant. We discovered a number of correlations in intensity perception between molecules. We show that familiarity had a strong effect on the ability of subjects to describe a smell. Many subjects used commercial products to describe familiar odorants, highlighting the role of prior experience in verbal reports of olfactory perception. Nonspecific descriptors like "chemical" were applied frequently to unfamiliar odorants, and unfamiliar odorants were generally rated as neither pleasant nor unpleasant.
conclusionsWe present a very large psychophysical dataset and use this to correlate molecular features of a stimulus to olfactory percept. Our work reveals robust correlations between molecular features and perceptual qualities, and highlights the dominant role of familiarity and experience in assigning verbal descriptors to odorants.
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