Modelling the signal delivered by a population of first-order neurons in a moth olfactory system

Grémiaux, Alexandre, Nowotny, Thomas, Martinez, Dominique, Lucas, Philippe and Rospars, Jean-Pierre (2012) Modelling the signal delivered by a population of first-order neurons in a moth olfactory system. Brain Research, 1434. pp. 123-135. ISSN 0006-8993

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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.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > Q Science (General)
R Medicine > RC Internal medicine > RC0321 Neurosciences. Biological psychiatry. Neuropsychiatry
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Depositing User: Thomas Nowotny
Date Deposited: 20 Apr 2012 13:35
Last Modified: 07 Mar 2017 10:34
URI: http://sro.sussex.ac.uk/id/eprint/38437

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