Literature DB >> 9663551

Dendritic integration in olfactory sensory neurons: a steady-state analysis of how the neuron structure and neuron environment influence the coding of odor intensity.

A Vermeulen1, J P Rospars.   

Abstract

Response properties of the receptor potential at steady state were analyzed in a biophysical model of an olfactory sensory neuron embedded in a multicell environment. The neuron structure was described as a set of several identical dendrites (or cilia) bearing the transduction mechanisms, joined to a nonsensory part--dendritic knob, soma, and axon. The different ionic compositions of the media surrounding the neuron sensory and nonsensory parts and the extraneuronal voltage sources, which both result from the presence of auxiliary cells, were also taken into account. Analytical solutions were found to describe how the receptor potential at the nonsensory part responds to a uniform change in the odorant-dependent conductance resulting from odorant stimulation of the sensory dendrites. We investigated the influence of various geometrical and electrical parameters on the receptor-potential response in the classical model neuron within a homogeneous environment and in the model neuron surrounded with auxiliary cells. First, it was found that the maximum amplitude of the receptor potential is independent of the neuron structure in the absence of auxiliary cells but not in their presence. In the latter case, the amplitude decreases with the length and number of sensory dendrites and with the input resistance of the nonsensory part. Second, the sensitivity (as measured by the increase in membrane conductance at half-maximum response) of the neuron model in the absence of auxiliary cells is higher, but its dynamic range is narrower than in their presence. The dynamic range is wide and the sensitivity low when the input resistance of the nonsensory part is small and the sensory dendrite is unbranched. Both sensitivity and dynamic range are higher for a longer dendrite. These results help understand the morphology of insect olfactory sensilla and can be generalized to other neuron types.

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Year:  1998        PMID: 9663551     DOI: 10.1023/a:1008826827728

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  24 in total

1.  Coding of stimulus intensity in an olfactory receptor neuron: role of neuron spatial extent and passive dendritic backpropagation of action potentials.

Authors:  A Vermeulen; J P Rospars; P Lánský; H C Tuckwell
Journal:  Bull Math Biol       Date:  1996-05       Impact factor: 1.758

2.  Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron.

Authors:  J P Rospars; P Lánský; H C Tuckwell; A Vermeulen
Journal:  J Comput Neurosci       Date:  1996-03       Impact factor: 1.621

3.  Coding of odour intensity in a sensory neuron.

Authors:  A Vermeulen; P Lánský; H Tuckwell; J P Rospars
Journal:  Biosystems       Date:  1997       Impact factor: 1.973

4.  Origin of nerve impulse in slowly adapting stretch receptor of crayfish.

Authors:  G L Ringham
Journal:  J Neurophysiol       Date:  1971-09       Impact factor: 2.714

5.  Retinal ganglion cells: a functional interpretation of dendritic morphology.

Authors:  C Koch; T Poggio; V Torre
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1982-07-27       Impact factor: 6.237

Review 6.  Coding of odor intensity.

Authors:  P Lánský; J P Rospars
Journal:  Biosystems       Date:  1993       Impact factor: 1.973

7.  Quantitative methods for predicting neuronal behavior.

Authors:  D H Perkel; B Mulloney; R W Budelli
Journal:  Neuroscience       Date:  1981       Impact factor: 3.590

8.  The impulse activity in different parts of the slowly adapting stretch receptor neuron of the lobster.

Authors:  W Grampp
Journal:  Acta Physiol Scand Suppl       Date:  1966

9.  Pheromone receptors in Bombyx mori and Antheraea pernyi. II. Morphometric analysis.

Authors:  W Gnatzy; W Mohren; R A Steinbrecht
Journal:  Cell Tissue Res       Date:  1984       Impact factor: 5.249

10.  Pheromone receptors in Bombyx mori and Antheraea pernyi. I. Reconstruction of the cellular organization of the sensilla trichodea.

Authors:  R A Steinbrecht; W Gnatzy
Journal:  Cell Tissue Res       Date:  1984       Impact factor: 5.249

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  3 in total

1.  Why are insect olfactory receptor neurons grouped into sensilla? The teachings of a model investigating the effects of the electrical interaction between neurons on the transepithelial potential and the neuronal transmembrane potential.

Authors:  Arthur Vermeulen; Jean-Pierre Rospars
Journal:  Eur Biophys J       Date:  2004-05-12       Impact factor: 1.733

2.  Modeling the response of a population of olfactory receptor neurons to an odorant.

Authors:  Malin Sandström; Anders Lansner; Jeanette Hellgren-Kotaleski; Jean-Pierre Rospars
Journal:  J Comput Neurosci       Date:  2009-05-05       Impact factor: 1.621

3.  Dynamical modeling of the moth pheromone-sensitive olfactory receptor neuron within its sensillar environment.

Authors:  Yuqiao Gu; Jean-Pierre Rospars
Journal:  PLoS One       Date:  2011-03-02       Impact factor: 3.240

  3 in total

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