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Dynamical feature extraction at the sensory periphery guides chemotaxis
Behavioral strategies employed for chemotaxis have been described across phyla, but the sensorimotor basis of this phenomenon has seldom been studied in naturalistic contexts. Here, we examine how signals experienced during free olfactory behaviors are processed by first-order olfactory sensory neur...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4468351/ https://www.ncbi.nlm.nih.gov/pubmed/26077825 http://dx.doi.org/10.7554/eLife.06694 |
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author | Schulze, Aljoscha Gomez-Marin, Alex Rajendran, Vani G Lott, Gus Musy, Marco Ahammad, Parvez Deogade, Ajinkya Sharpe, James Riedl, Julia Jarriault, David Trautman, Eric T Werner, Christopher Venkadesan, Madhusudhan Druckmann, Shaul Jayaraman, Vivek Louis, Matthieu |
author_facet | Schulze, Aljoscha Gomez-Marin, Alex Rajendran, Vani G Lott, Gus Musy, Marco Ahammad, Parvez Deogade, Ajinkya Sharpe, James Riedl, Julia Jarriault, David Trautman, Eric T Werner, Christopher Venkadesan, Madhusudhan Druckmann, Shaul Jayaraman, Vivek Louis, Matthieu |
author_sort | Schulze, Aljoscha |
collection | PubMed |
description | Behavioral strategies employed for chemotaxis have been described across phyla, but the sensorimotor basis of this phenomenon has seldom been studied in naturalistic contexts. Here, we examine how signals experienced during free olfactory behaviors are processed by first-order olfactory sensory neurons (OSNs) of the Drosophila larva. We find that OSNs can act as differentiators that transiently normalize stimulus intensity—a property potentially derived from a combination of integral feedback and feed-forward regulation of olfactory transduction. In olfactory virtual reality experiments, we report that high activity levels of the OSN suppress turning, whereas low activity levels facilitate turning. Using a generalized linear model, we explain how peripheral encoding of olfactory stimuli modulates the probability of switching from a run to a turn. Our work clarifies the link between computations carried out at the sensory periphery and action selection underlying navigation in odor gradients. DOI: http://dx.doi.org/10.7554/eLife.06694.001 |
format | Online Article Text |
id | pubmed-4468351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-44683512015-06-17 Dynamical feature extraction at the sensory periphery guides chemotaxis Schulze, Aljoscha Gomez-Marin, Alex Rajendran, Vani G Lott, Gus Musy, Marco Ahammad, Parvez Deogade, Ajinkya Sharpe, James Riedl, Julia Jarriault, David Trautman, Eric T Werner, Christopher Venkadesan, Madhusudhan Druckmann, Shaul Jayaraman, Vivek Louis, Matthieu eLife Computational and Systems Biology Behavioral strategies employed for chemotaxis have been described across phyla, but the sensorimotor basis of this phenomenon has seldom been studied in naturalistic contexts. Here, we examine how signals experienced during free olfactory behaviors are processed by first-order olfactory sensory neurons (OSNs) of the Drosophila larva. We find that OSNs can act as differentiators that transiently normalize stimulus intensity—a property potentially derived from a combination of integral feedback and feed-forward regulation of olfactory transduction. In olfactory virtual reality experiments, we report that high activity levels of the OSN suppress turning, whereas low activity levels facilitate turning. Using a generalized linear model, we explain how peripheral encoding of olfactory stimuli modulates the probability of switching from a run to a turn. Our work clarifies the link between computations carried out at the sensory periphery and action selection underlying navigation in odor gradients. DOI: http://dx.doi.org/10.7554/eLife.06694.001 eLife Sciences Publications, Ltd 2015-06-16 /pmc/articles/PMC4468351/ /pubmed/26077825 http://dx.doi.org/10.7554/eLife.06694 Text en © 2015, Schulze 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 Schulze, Aljoscha Gomez-Marin, Alex Rajendran, Vani G Lott, Gus Musy, Marco Ahammad, Parvez Deogade, Ajinkya Sharpe, James Riedl, Julia Jarriault, David Trautman, Eric T Werner, Christopher Venkadesan, Madhusudhan Druckmann, Shaul Jayaraman, Vivek Louis, Matthieu Dynamical feature extraction at the sensory periphery guides chemotaxis |
title | Dynamical feature extraction at the sensory periphery guides chemotaxis |
title_full | Dynamical feature extraction at the sensory periphery guides chemotaxis |
title_fullStr | Dynamical feature extraction at the sensory periphery guides chemotaxis |
title_full_unstemmed | Dynamical feature extraction at the sensory periphery guides chemotaxis |
title_short | Dynamical feature extraction at the sensory periphery guides chemotaxis |
title_sort | dynamical feature extraction at the sensory periphery guides chemotaxis |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4468351/ https://www.ncbi.nlm.nih.gov/pubmed/26077825 http://dx.doi.org/10.7554/eLife.06694 |
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