Literature DB >> 17643188

Transition between two excitabilities in mesencephalic V neurons.

Yihui Liu1, Jing Yang, Sanjue Hu.   

Abstract

Neurons can make different responses to identical inputs. According to the emerging frequency of repetitive firing, neurons are classified into two types: type 1 and type 2 excitability. Though in mathematical simulations, minor modifications of parameters describing ionic currents can result in transitions between these two excitabilities, empirical evidence to support these theoretical possibilities is scarce. Here we report a joint theoretical and experimental study to test the hypothesis that changes in parameters describing ionic currents cause predictable transitions between the two excitabilities in mesencephalic V (Mes V) neurons. We developed a simple mathematical model of Mes V neurons. Using bifurcation analysis and model simulation, we then predicted that changes in conductance of two low-threshold currents would result in transitions between type 1 and type 2. Finally, by applying specific channel blockers, we observed the transition between two excitabilities forecast by the mathematical model.

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Year:  2007        PMID: 17643188     DOI: 10.1007/s10827-007-0048-4

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


  20 in total

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Review 3.  The dynamic clamp comes of age.

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Authors:  A A Sharp; M B O'Neil; L F Abbott; E Marder
Journal:  Trends Neurosci       Date:  1993-10       Impact factor: 13.837

5.  Synchrony in excitatory neural networks.

Authors:  D Hansel; G Mato; C Meunier
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6.  Injection of digitally synthesized synaptic conductance transients to measure the integrative properties of neurons.

Authors:  H P Robinson; N Kawai
Journal:  J Neurosci Methods       Date:  1993-09       Impact factor: 2.390

7.  Physiological and theoretical analysis of K+ currents controlling discharge in neonatal rat mesencephalic trigeminal neurons.

Authors:  C A Del Negro; S H Chandler
Journal:  J Neurophysiol       Date:  1997-02       Impact factor: 2.714

8.  Development of inward rectification and control of membrane excitability in mesencephalic v neurons.

Authors:  Susumu Tanaka; Nanping Wu; Chie-Fang Hsaio; Jack Turman; Scott H Chandler
Journal:  J Neurophysiol       Date:  2002-11-20       Impact factor: 2.714

9.  Lactate-supported synaptic function in the rat hippocampal slice preparation.

Authors:  A Schurr; C A West; B M Rigor
Journal:  Science       Date:  1988-06-03       Impact factor: 47.728

10.  Dynamic clamp: computer-generated conductances in real neurons.

Authors:  A A Sharp; M B O'Neil; L F Abbott; E Marder
Journal:  J Neurophysiol       Date:  1993-03       Impact factor: 2.714

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  2 in total

1.  Identifying type I excitability using dynamics of stochastic neural firing patterns.

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Journal:  Cogn Neurodyn       Date:  2012-06-14       Impact factor: 5.082

2.  Ion channel density regulates switches between regular and fast spiking in soma but not in axons.

Authors:  Hugo Zeberg; Clas Blomberg; Peter Arhem
Journal:  PLoS Comput Biol       Date:  2010-04-22       Impact factor: 4.475

  2 in total

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