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Citation
Si, G., Kanwal, J.K., Hu, Y., Tabone, C.J., Baron, J., Berck, M., Vignoud, G., Samuel, A.D.T. (2019). Structured Odorant Response Patterns across a Complete Olfactory Receptor Neuron Population.  Neuron 101(5): 950--962.e7.
FlyBase ID
FBrf0241736
Publication Type
Research paper
Abstract

Odor perception allows animals to distinguish odors, recognize the same odor across concentrations, and determine concentration changes. How the activity patterns of primary olfactory receptor neurons (ORNs), at the individual and population levels, facilitate distinguishing these functions remains poorly understood. Here, we interrogate the complete ORN population of the Drosophila larva across a broadly sampled panel of odorants at varying concentrations. We find that the activity of each ORN scales with the concentration of any odorant via a fixed dose-response function with a variable sensitivity. Sensitivities across odorants and ORNs follow a power-law distribution. Much of receptor sensitivity to odorants is accounted for by a single geometrical property of molecular structure. Similarity in the shape of temporal response filters across odorants and ORNs extend these relationships to fluctuating environments. These results uncover shared individual- and population-level patterns that together lend structure to support odor perceptions.

PubMed ID
PubMed Central ID
PMC6756926 (PMC) (EuropePMC)
Related Publication(s)
Note

Order in Odors: A Power Law Structures the Encoding of Stimulus Identity and Intensity.
Louis, 2019, Neuron 101(5): 768--770 [FBrf0241805]

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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Neuron
    Title
    Neuron
    Publication Year
    1988-
    ISBN/ISSN
    0896-6273
    Data From Reference