Literature DB >> 8971213

Coding of odour intensity in a sensory neuron.

A Vermeulen1, P Lánský, H Tuckwell, J P Rospars.   

Abstract

A deterministic biophysical model of an olfactory sensory neuron under constant stimulation is presented with the aim of describing the successive conversion steps, including receptor activation, conductance change, receptor potential and firing frequency, that are involved in the coding of odorant concentration. This model is divided in two parts. The odorant-sensitive part (OSP), consisting of one cylindrical dendrite, is connected to the odorant-insensitive part (OIP), corresponding to passive dendrite, soma and axon. Each part exerts a specific effect on the coding properties of the conversion steps, i.e. their magnitude, sensitivity and dynamic range. The maximum conductance of the OSP affects positively all coding properties whereas the input resistance of the OIP, which depends on its size and shape, affects positively the sensitivity and negatively the dynamic range. These findings are helpful for understanding the input-output properties of many types of neurons.

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Year:  1997        PMID: 8971213     DOI: 10.1016/0303-2647(96)01647-4

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  4 in total

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

Authors:  A Vermeulen; J P Rospars
Journal:  J Comput Neurosci       Date:  1998-07       Impact factor: 1.621

Review 2.  Olfactory perireceptor and receptor events in moths: a kinetic model revised.

Authors:  Karl-Ernst Kaissling
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2009-08-21       Impact factor: 1.836

Review 3.  Kinetics of olfactory responses might largely depend on the odorant-receptor interaction and the odorant deactivation postulated for flux detectors.

Authors:  Karl-Ernst Kaissling
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-04-07       Impact factor: 1.836

4.  Neural coding of binary mixtures in a structurally related odorant pair.

Authors:  Georgina Cruz; Graeme Lowe
Journal:  Sci Rep       Date:  2013-02-05       Impact factor: 4.379

  4 in total

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