Modelling the signal delivered by a population of first-order neurons in a moth olfactory system
Identifieur interne : 001C76 ( Main/Exploration ); précédent : 001C75; suivant : 001C77Modelling the signal delivered by a population of first-order neurons in a moth olfactory system
Auteurs : Alexandre Grémiaux [France] ; Thomas Nowotny [Royaume-Uni] ; Dominique Martinez [France] ; Philippe Lucas [France] ; Jean-Pierre Rospars [France]Source :
- Brain Research [ 0006-8993 ] ; 2012.
Descripteurs français
- Wicri :
- topic : Insecte.
English descriptors
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Abstract
A statistical model of the population of first-order olfactory receptor neurons (ORNs) is proposed and analysed. It describes the relationship between stimulus intensity (odour concentration) and coding variables such as rate and latency of the population of several thousand sex-pheromone sensitive ORNs in male moths. Although these neurons likely express the same olfactory receptor, they exhibit, at any concentration, a relatively large heterogeneity of responses in both peak firing frequency and latency of the first action potential fired after stimulus onset. The stochastic model is defined by a multivariate distribution of six model parameters that describe the dependence of the peak firing rate and the latency on the stimulus dose. These six parameters and their mutual linear correlations were estimated from experiments in single ORNs and included in the multidimensional model distribution. The model is utilized to reconstruct the peak firing rate and latency of the message sent to the brain by the whole ORN population at different stimulus intensities and to establish their main qualitative and quantitative properties. Finally, these properties are shown to be in agreement with those found previously in a vertebrate ORN population. This article is part of a Special Issue entitled: Neural Coding.
Url:
DOI: 10.1016/j.brainres.2011.09.035
Affiliations:
- France, Royaume-Uni
- Angleterre, Grand Est, Lorraine (région), Sussex de l'Est
- Brighton, Falmer, Metz, Nancy
- Université de Lorraine, Université du Sussex
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Le document en format XML
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Paris 6</orgName><orgName type="acronym">UPMC</orgName><desc><address><addrLine>4 place Jussieu - 75005 Paris</addrLine><country key="FR"></country></address><ref type="url">http://www.upmc.fr/</ref></desc></org></tutelle><tutelle active="#struct-148117" type="direct"><org type="institution" xml:id="struct-148117" status="VALID"><orgName>AgroParisTech</orgName><orgName type="acronym">AgroParisTech</orgName><desc><address><addrLine>Institut des sciences et industries du vivant et de l'environnement - AgroParisTech - 16 rue Claude Bernard F-75231 Paris Cedex 05</addrLine><country key="FR"></country></address><ref type="url">http://www.agroparistech.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author><author><name sortKey="Rospars, Jean Pierre" sort="Rospars, Jean Pierre" uniqKey="Rospars J" first="Jean-Pierre" last="Rospars">Jean-Pierre Rospars</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-135780" status="OLD"><orgName>Physiologie de l'Insecte : Signalisation et Communication</orgName><orgName type="acronym">PISC</orgName><desc><address><addrLine>F-78000 Versailles</addrLine><country key="FR"></country></address></desc><listRelation><relation name="UMR1272" active="#struct-92114" type="direct"></relation><relation active="#struct-93591" type="direct"></relation><relation active="#struct-148117" type="direct"></relation></listRelation><tutelles><tutelle name="UMR1272" active="#struct-92114" type="direct"><org type="institution" xml:id="struct-92114" status="VALID"><orgName>Institut National de la Recherche Agronomique</orgName><orgName type="acronym">INRA</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inra.fr</ref></desc></org></tutelle><tutelle active="#struct-93591" type="direct"><org type="institution" xml:id="struct-93591" status="VALID"><orgName>Université Pierre et Marie Curie - Paris 6</orgName><orgName type="acronym">UPMC</orgName><desc><address><addrLine>4 place Jussieu - 75005 Paris</addrLine><country key="FR"></country></address><ref type="url">http://www.upmc.fr/</ref></desc></org></tutelle><tutelle active="#struct-148117" type="direct"><org type="institution" xml:id="struct-148117" status="VALID"><orgName>AgroParisTech</orgName><orgName type="acronym">AgroParisTech</orgName><desc><address><addrLine>Institut des sciences et industries du vivant et de l'environnement - AgroParisTech - 16 rue Claude Bernard F-75231 Paris Cedex 05</addrLine><country key="FR"></country></address><ref type="url">http://www.agroparistech.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></analytic><idno type="DOI">10.1016/j.brainres.2011.09.035</idno><series><title level="j">Brain Research</title><idno type="ISSN">0006-8993</idno><imprint><date type="datePub">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Insect</term><term>Neural population</term><term>Olfactory receptor neuron</term><term>Rate coding</term><term>Sexual pheromone</term><term>Temporal coding</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Insecte</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A statistical model of the population of first-order olfactory receptor neurons (ORNs) is proposed and analysed. It describes the relationship between stimulus intensity (odour concentration) and coding variables such as rate and latency of the population of several thousand sex-pheromone sensitive ORNs in male moths. Although these neurons likely express the same olfactory receptor, they exhibit, at any concentration, a relatively large heterogeneity of responses in both peak firing frequency and latency of the first action potential fired after stimulus onset. The stochastic model is defined by a multivariate distribution of six model parameters that describe the dependence of the peak firing rate and the latency on the stimulus dose. These six parameters and their mutual linear correlations were estimated from experiments in single ORNs and included in the multidimensional model distribution. The model is utilized to reconstruct the peak firing rate and latency of the message sent to the brain by the whole ORN population at different stimulus intensities and to establish their main qualitative and quantitative properties. Finally, these properties are shown to be in agreement with those found previously in a vertebrate ORN population. This article is part of a Special Issue entitled: Neural Coding.</div></front></TEI><affiliations><list><country><li>France</li><li>Royaume-Uni</li></country><region><li>Angleterre</li><li>Grand Est</li><li>Lorraine (région)</li><li>Sussex de l'Est</li></region><settlement><li>Brighton</li><li>Falmer</li><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li><li>Université du Sussex</li></orgName></list><tree><country name="France"><noRegion><name sortKey="Gremiaux, Alexandre" sort="Gremiaux, Alexandre" uniqKey="Gremiaux A" first="Alexandre" last="Grémiaux">Alexandre Grémiaux</name></noRegion><name sortKey="Lucas, Philippe" sort="Lucas, Philippe" uniqKey="Lucas P" first="Philippe" last="Lucas">Philippe Lucas</name><name sortKey="Martinez, Dominique" sort="Martinez, Dominique" uniqKey="Martinez D" first="Dominique" last="Martinez">Dominique Martinez</name><name sortKey="Rospars, Jean Pierre" sort="Rospars, Jean Pierre" uniqKey="Rospars J" first="Jean-Pierre" last="Rospars">Jean-Pierre Rospars</name></country><country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Nowotny, Thomas" sort="Nowotny, Thomas" uniqKey="Nowotny T" first="Thomas" last="Nowotny">Thomas Nowotny</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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