In search of the structure of human olfactory space.

We analyze the responses of human observers to an ensemble of monomolecular odorants. Each odorant is characterized by a set of 146 perceptual descriptors obtained from a database of odor character profiles. Each odorant is therefore represented by a point in a highly multidimensional sensory space. In this work we study the arrangement of odorants in this perceptual space. We argue that odorants densely sample a two-dimensional curved surface embedded in the multidimensional sensory space. This surface can account for more than half of the variance of the perceptual data. We also show that only 12% of experimental variance cannot be explained by curved surfaces of substantially small dimensionality (<10). We suggest that these curved manifolds represent the relevant spaces sampled by the human olfactory system, thereby providing surrogates for olfactory sensory space. For the case of 2D approximation, we relate the two parameters on the curved surface to the physico-chemical parameters of odorant molecules. We show that one of the dimensions is related to eigenvalues of molecules’ connectivity matrix, while the other is correlated with measures of molecules’ polarity. We discuss the behavioral significance of these findings.

[1]  Peter Mombaerts,et al.  Mapping of Class I and Class II Odorant Receptors to Glomerular Domains by Two Distinct Types of Olfactory Sensory Neurons in the Mouse , 2009, Neuron.

[2]  J. Mainland,et al.  Odor Coding by a Mammalian Receptor Repertoire , 2009, Science Signaling.

[3]  David Harel,et al.  Predicting the Receptive Range of Olfactory Receptors , 2008, PLoS Comput. Biol..

[4]  Donald A. Wilson,et al.  Smelling Sounds: Olfactory–Auditory Sensory Convergence in the Olfactory Tubercle , 2010, The Journal of Neuroscience.

[5]  D. T. Stanton,et al.  Understanding the underlying dimensions in perfumers’ odor perception space as a basis for developing meaningful odor maps , 2009, Attention, perception & psychophysics.

[6]  Mark de Berg,et al.  Computational geometry: algorithms and applications , 1997 .

[7]  David Harel,et al.  A metric for odorant comparison , 2008, Nature Methods.

[8]  A. Dravnieks,et al.  Atlas of odor character profiles , 1992 .

[9]  B. Berglund,et al.  Multidimensional analysis of twenty-one odors. , 1973, Scandinavian journal of psychology.

[10]  J. Gottfried Central mechanisms of odour object perception , 2010, Nature Reviews Neuroscience.

[11]  E. Holman,et al.  Similarity judgments and recognition memory for some common spices , 1978, Perception & psychophysics.

[12]  F. Burden A CHEMICALLY INTUITIVE MOLECULAR INDEX BASED ON THE EIGENVALUES OF A MODIFIED ADJACENCY MATRIX , 1997 .

[13]  T. Imai,et al.  Olfactory sensory neurons expressing class I odorant receptors converge their axons on an antero‐dorsal domain of the olfactory bulb in the mouse , 2006, The European journal of neuroscience.

[14]  W. Cain,et al.  Quantification of odor quality. , 2000, Chemical senses.

[15]  R. Khan,et al.  Predicting Odor Pleasantness from Odorant Structure: Pleasantness as a Reflection of the Physical World , 2007, The Journal of Neuroscience.