Literature DB >> 10420566

Intrinsic membrane properties and dynamics of medial vestibular neurons: a simulation.

E Av-Ron1, P P Vidal.   

Abstract

The vestibulo-ocular and vestibulo-spinal network provides the ability to hold gaze fixed on an object during passive head movement. Within that network, most of the second-order neurons of the medial vestibular nucleus (MVNn) compute internal representations of head movement velocity in the horizontal plane. Our previous in vitro studies of the MVNn membrane properties indicated that they may play a major role in determining the dynamic properties of these neurons independently of their connectivity. The present study investigated that hypothesis at a theoretical level. Biophysical models of type A and B MVNn were developed. Two factors were found to be important in modeling tonic and phasic firing activity: the activation of the delayed potassium current and the rate of calcium flux. In addition, the model showed that the strength of the delayed potassium current may determine the different forms of action potentials observed experimentally. These two models (type A and B cells) were examined using depolarizing stimulation, random noise, step, ramp and sinusoidal inputs. For random noise, type A cells showed stable (regular) firing frequencies, while type B cells exhibited irregular activity. With step stimulation, the models exhibited tonic and phasic firing responses, respectively. Using ramp stimulations, frequency versus current curves showed a linear response for the type B neuron model. Finally, with sinusoidal stimulation of increasing frequencies, the type A model demonstrated a decrease in sensitivity, while the type B model exhibited an increase in sensitivity. These theoretical results support the hypothesis that MVNn intrinsic membrane properties specify various types of dynamic properties amongst these cells and therefore contribute to the wide range of dynamic responses which characterize the vestibulo-ocular and vestibulo-spinal network.

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Year:  1999        PMID: 10420566     DOI: 10.1007/s004220050533

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  8 in total

1.  Intrinsic firing dynamics of vestibular nucleus neurons.

Authors:  Chris Sekirnjak; Sascha du Lac
Journal:  J Neurosci       Date:  2002-03-15       Impact factor: 6.167

2.  A realistic neural-network simulation of both slow and quick phase components of the guinea pig VOR.

Authors:  Andrew D Cartwright; Darrin P D Gilchrist; Ann M Burgess; Ian S Curthoys
Journal:  Exp Brain Res       Date:  2003-01-31       Impact factor: 1.972

Review 3.  Ion channels in mammalian vestibular afferents may set regularity of firing.

Authors:  Ruth Anne Eatock; Jingbing Xue; Radha Kalluri
Journal:  J Exp Biol       Date:  2008-06       Impact factor: 3.312

4.  Intrinsic membrane properties of central vestibular neurons in rodents.

Authors:  Daniel Eugène; Erwin Idoux; Mathieu Beraneck; L E Moore; Pierre-Paul Vidal
Journal:  Exp Brain Res       Date:  2011-02-18       Impact factor: 1.972

5.  In vivo conditions induce faithful encoding of stimuli by reducing nonlinear synchronization in vestibular sensory neurons.

Authors:  Adam D Schneider; Kathleen E Cullen; Maurice J Chacron
Journal:  PLoS Comput Biol       Date:  2011-07-21       Impact factor: 4.475

6.  Teaching basic principles of neuroscience with computer simulations.

Authors:  Evyatar Av-Ron; John H Byrne; Douglas A Baxter
Journal:  J Undergrad Neurosci Educ       Date:  2006-06-15

7.  Neuronal firing sensitivity to morphologic and active membrane parameters.

Authors:  Christina M Weaver; Susan L Wearne
Journal:  PLoS Comput Biol       Date:  2007-12-13       Impact factor: 4.475

8.  Model Vestibular Nuclei Neurons Can Exhibit a Boosting Nonlinearity Due to an Adaptation Current Regulated by Spike-Triggered Calcium and Calcium-Activated Potassium Channels.

Authors:  Adam D Schneider
Journal:  PLoS One       Date:  2016-07-18       Impact factor: 3.240

  8 in total

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