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Large-scale analysis of perceptual odor data

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It is a general problem in sensory processing to understand which aspect of the sensory input is relevant to perception. In olfaction, because of the high-dimensionality, and the difficulty in describing smells [1]. One of the core questions in olfaction is therefore the so-called structure-odor relationships. A deeper understanding of olfaction should involve aspects of natural stimulus statistics, odorant properties, physiological responses, evolution, odor perception, and behavioral relevance. As a step towards computational analyses in this direction, I accumulated a database consisting of several hundred perceptual descriptors for several thousand odors by merging data from different publicly available sources. Preliminary results from this dataset based on unsupervised and unsupervised methods are presented here. These preliminary results could give a better idea of the dimensionality of the odor space, and of how to approach studies of structure-odor relationships.

Acknowledgement: participation to this meeting was supported by an ECRO Travel Grant.

References

  1. 1.

    Auffarth B: Understanding smell--the olfactory stimulus problem. Neurosci Biobehav Rev. 2013, 37: 1667-1679.

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Correspondence to Benjamin Auffarth.

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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Auffarth, B. Large-scale analysis of perceptual odor data. Flavour 3, P1 (2014) doi:10.1186/2044-7248-3-S1-P1

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Keywords

  • Public Health
  • Physiological Response
  • Deep Understanding
  • General Problem
  • Sensory Input