Efficient olfactory coding in the pheromone receptor neuron of a moth.

The concept of coding efficiency holds that sensory neurons are adapted, through both evolutionary and developmental processes, to the statistical characteristics of their natural stimulus. Encouraged by the successful invocation of this principle to predict how neurons encode natural auditory and v...

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Autores principales:	Lubomir Kostal, Petr Lansky, Jean-Pierre Rospars
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2008
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/4d8a596d5b9745d3afa7c36f3208a4fb
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spelling	oai:doaj.org-article:4d8a596d5b9745d3afa7c36f3208a4fb2021-11-25T05:41:19ZEfficient olfactory coding in the pheromone receptor neuron of a moth.1553-734X1553-735810.1371/journal.pcbi.1000053https://doaj.org/article/4d8a596d5b9745d3afa7c36f3208a4fb2008-04-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18437217/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358The concept of coding efficiency holds that sensory neurons are adapted, through both evolutionary and developmental processes, to the statistical characteristics of their natural stimulus. Encouraged by the successful invocation of this principle to predict how neurons encode natural auditory and visual stimuli, we attempted its application to olfactory neurons. The pheromone receptor neuron of the male moth Antheraea polyphemus, for which quantitative properties of both the natural stimulus and the reception processes are available, was selected. We predicted several characteristics that the pheromone plume should possess under the hypothesis that the receptors perform optimally, i.e., transfer as much information on the stimulus per unit time as possible. Our results demonstrate that the statistical characteristics of the predicted stimulus, e.g., the probability distribution function of the stimulus concentration, the spectral density function of the stimulation course, and the intermittency, are in good agreement with those measured experimentally in the field. These results should stimulate further quantitative studies on the evolutionary adaptation of olfactory nervous systems to odorant plumes and on the plume characteristics that are most informative for the 'sniffer'. Both aspects are relevant to the design of olfactory sensors for odour-tracking robots.Lubomir KostalPetr LanskyJean-Pierre RosparsPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 4, Iss 4, p e1000053 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Lubomir Kostal Petr Lansky Jean-Pierre Rospars Efficient olfactory coding in the pheromone receptor neuron of a moth.
description	The concept of coding efficiency holds that sensory neurons are adapted, through both evolutionary and developmental processes, to the statistical characteristics of their natural stimulus. Encouraged by the successful invocation of this principle to predict how neurons encode natural auditory and visual stimuli, we attempted its application to olfactory neurons. The pheromone receptor neuron of the male moth Antheraea polyphemus, for which quantitative properties of both the natural stimulus and the reception processes are available, was selected. We predicted several characteristics that the pheromone plume should possess under the hypothesis that the receptors perform optimally, i.e., transfer as much information on the stimulus per unit time as possible. Our results demonstrate that the statistical characteristics of the predicted stimulus, e.g., the probability distribution function of the stimulus concentration, the spectral density function of the stimulation course, and the intermittency, are in good agreement with those measured experimentally in the field. These results should stimulate further quantitative studies on the evolutionary adaptation of olfactory nervous systems to odorant plumes and on the plume characteristics that are most informative for the 'sniffer'. Both aspects are relevant to the design of olfactory sensors for odour-tracking robots.
format	article
author	Lubomir Kostal Petr Lansky Jean-Pierre Rospars
author_facet	Lubomir Kostal Petr Lansky Jean-Pierre Rospars
author_sort	Lubomir Kostal
title	Efficient olfactory coding in the pheromone receptor neuron of a moth.
title_short	Efficient olfactory coding in the pheromone receptor neuron of a moth.
title_full	Efficient olfactory coding in the pheromone receptor neuron of a moth.
title_fullStr	Efficient olfactory coding in the pheromone receptor neuron of a moth.
title_full_unstemmed	Efficient olfactory coding in the pheromone receptor neuron of a moth.
title_sort	efficient olfactory coding in the pheromone receptor neuron of a moth.
publisher	Public Library of Science (PLoS)
publishDate	2008
url	https://doaj.org/article/4d8a596d5b9745d3afa7c36f3208a4fb
work_keys_str_mv	AT lubomirkostal efficientolfactorycodinginthepheromonereceptorneuronofamoth AT petrlansky efficientolfactorycodinginthepheromonereceptorneuronofamoth AT jeanpierrerospars efficientolfactorycodinginthepheromonereceptorneuronofamoth
_version_	1718414515297583104

Efficient olfactory coding in the pheromone receptor neuron of a moth.

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