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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
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
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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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