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Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli
Insects find food and mates by navigating odorant plumes that can be highly intermittent, with intensities and durations that vary rapidly over orders of magnitude. Much is known about olfactory responses to pulses and steps, but it remains unclear how olfactory receptor neurons (ORNs) detect the in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524537/ https://www.ncbi.nlm.nih.gov/pubmed/28653907 http://dx.doi.org/10.7554/eLife.27670 |
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author | Gorur-Shandilya, Srinivas Demir, Mahmut Long, Junjiajia Clark, Damon A Emonet, Thierry |
author_facet | Gorur-Shandilya, Srinivas Demir, Mahmut Long, Junjiajia Clark, Damon A Emonet, Thierry |
author_sort | Gorur-Shandilya, Srinivas |
collection | PubMed |
description | Insects find food and mates by navigating odorant plumes that can be highly intermittent, with intensities and durations that vary rapidly over orders of magnitude. Much is known about olfactory responses to pulses and steps, but it remains unclear how olfactory receptor neurons (ORNs) detect the intensity and timing of natural stimuli, where the absence of scale in the signal makes detection a formidable olfactory task. By stimulating Drosophila ORNs in vivo with naturalistic and Gaussian stimuli, we show that ORNs adapt to stimulus mean and variance, and that adaptation and saturation contribute to naturalistic sensing. Mean-dependent gain control followed the Weber-Fechner relation and occurred primarily at odor transduction, while variance-dependent gain control occurred at both transduction and spiking. Transduction and spike generation possessed complementary kinetic properties, that together preserved the timing of odorant encounters in ORN spiking, regardless of intensity. Such scale-invariance could be critical during odor plume navigation. DOI: http://dx.doi.org/10.7554/eLife.27670.001 |
format | Online Article Text |
id | pubmed-5524537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-55245372017-07-26 Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli Gorur-Shandilya, Srinivas Demir, Mahmut Long, Junjiajia Clark, Damon A Emonet, Thierry eLife Computational and Systems Biology Insects find food and mates by navigating odorant plumes that can be highly intermittent, with intensities and durations that vary rapidly over orders of magnitude. Much is known about olfactory responses to pulses and steps, but it remains unclear how olfactory receptor neurons (ORNs) detect the intensity and timing of natural stimuli, where the absence of scale in the signal makes detection a formidable olfactory task. By stimulating Drosophila ORNs in vivo with naturalistic and Gaussian stimuli, we show that ORNs adapt to stimulus mean and variance, and that adaptation and saturation contribute to naturalistic sensing. Mean-dependent gain control followed the Weber-Fechner relation and occurred primarily at odor transduction, while variance-dependent gain control occurred at both transduction and spiking. Transduction and spike generation possessed complementary kinetic properties, that together preserved the timing of odorant encounters in ORN spiking, regardless of intensity. Such scale-invariance could be critical during odor plume navigation. DOI: http://dx.doi.org/10.7554/eLife.27670.001 eLife Sciences Publications, Ltd 2017-06-27 /pmc/articles/PMC5524537/ /pubmed/28653907 http://dx.doi.org/10.7554/eLife.27670 Text en © 2017, Gorur-Shandilya et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Gorur-Shandilya, Srinivas Demir, Mahmut Long, Junjiajia Clark, Damon A Emonet, Thierry Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli |
title | Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli |
title_full | Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli |
title_fullStr | Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli |
title_full_unstemmed | Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli |
title_short | Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli |
title_sort | olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524537/ https://www.ncbi.nlm.nih.gov/pubmed/28653907 http://dx.doi.org/10.7554/eLife.27670 |
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