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Journal of Computational Neuroscience

Erschienen in:

01.02.2008

Transition between two excitabilities in mesencephalic V neurons

verfasst von: Yihui Liu, Jing Yang, Sanjue Hu

Erschienen in: Journal of Computational Neuroscience | Ausgabe 1/2008

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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.

Vorheriger Artikel Antidromic propagation of action potentials in branched axons: implications for the mechanisms of action of deep brain stimulation

Nächster Artikel On the stationary state of a network of inhibitory spiking neurons

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Titel: Transition between two excitabilities in mesencephalic V neurons
verfasst von: Yihui Liu
Jing Yang
Sanjue Hu
Publikationsdatum: 01.02.2008
Verlag: Springer US
Erschienen in: Journal of Computational Neuroscience / Ausgabe 1/2008
Print ISSN: 0929-5313
Elektronische ISSN: 1573-6873
DOI: https://doi.org/10.1007/s10827-007-0048-4

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