Literature DB >> 4032007

The electrical circuitry of an olfactory sensillum in Antheraea polyphemus.

J J de Kramer.   

Abstract

The aim of this study was to obtain a better insight into the distribution of active and passive electrical properties of the membranes of al olfactory sensillum. Such a sensillum is composed of three accessory cells which envelope the somata of two receptor neurons which have long (300 micron) dendrites that are incorporated in cuticular protuberances (hairs). An electrical equivalent circuit of this organ is reconstructed which is based upon the response of sensilla to current transients, the shape of extracellularly recorded spikes, and the effects of lesions on these signals. A strong influence of membrane capacitances on the overall response and on the shape of spikes becomes apparent. From the combination of electrical and morphometric data it follows that the resistance of the apical membranes of the accessory cells in much higher than the resistance of their basolateral membranes. Neither in simultaneous tip and sidewall recordings nor in the hair (dendrite) amputation experiments could antidromic propagation of action potentials into the dendrite be demonstrated. The commonly accepted retrograde propagation explanation for the biphasic waveform of the spike is, therefore, rejected. Dendrite amputation experiments showed that the impedance of the dendrite does not limit the spike amplitude and that the dendrite contributes slightly to the duration of the positive phases of spikes. Both of these observations indicate that the dendrite is also involved in the generation of the leading phase of the spike. Consequently the proposition is made that action potentials are initiated at a dendritic location.

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Year:  1985        PMID: 4032007      PMCID: PMC6565331     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  7 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

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.  Magnetoelectric 'spin' on stimulating the brain.

Authors:  Rakesh Guduru; Ping Liang; J Hong; Alexandra Rodzinski; Ali Hadjikhani; Jeffrey Horstmyer; Ernest Levister; Sakhrat Khizroev
Journal:  Nanomedicine (Lond)       Date:  2015-05-08       Impact factor: 5.307

Review 4.  Speculations on receptor cells as analyzers and filters.

Authors:  R C Gesteland
Journal:  Experientia       Date:  1986-03-15

5.  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

6.  Computational model of the insect pheromone transduction cascade.

Authors:  Yuqiao Gu; Philippe Lucas; Jean-Pierre Rospars
Journal:  PLoS Comput Biol       Date:  2009-03-20       Impact factor: 4.475

7.  Functional Interaction Between Drosophila Olfactory Sensory Neurons and Their Support Cells.

Authors:  Sinisa Prelic; Venkatesh Pal Mahadevan; Vignesh Venkateswaran; Sofia Lavista-Llanos; Bill S Hansson; Dieter Wicher
Journal:  Front Cell Neurosci       Date:  2022-01-07       Impact factor: 5.505

  7 in total

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