Characterizing spiking in noisy type II neurons

JOURNAL OF THEORETICAL BIOLOGY

卷:365

Article

Bod'ova, Katarina¹  Paydarfar, David^2,3  Forger, Daniel B.^4,5 

[1] IST Austria, A-3400 Klosterneuburg, Austria

[2] Univ Massachusetts, Sch Med, Dept Neurol, Worcester, MA USA

[3] Harvard Univ, Wyss Inst Biologically Inspired Engn, Boston, MA 02115 USA

[4] Univ Michigan, Dept Math, Ann Arbor, MI 48109 USA

[5] Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA

关键词: Hodgkin-Huxley model;    Markov process;    Stochastic transitions;    Excitable systems;   

DOI  :  10.1016/j.jtbi.2014.09.041

来源: Elsevier

【 摘 要 】

Understanding the dynamics of noisy neurons remains an important challenge in neuroscience. Here, we describe a simple probabilistic model that accurately describes the firing behavior in a large class (type II) of neurons. To demonstrate the usefulness of this model, we show how it accurately predicts the interspike interval (ISI) distributions, bursting patterns and mean firing rates found by: (1) simulations of the classic Hodgkin-Huxley model with channel noise, (2) experimental data from squid giant axon with a noisy input current and (3) experimental data on noisy firing from a neuron within the suprachiasmatic nucleus (SCN). This simple model has 6 parameters, however, in some cases, two of these parameters are coupled and only 5 parameters account for much of the known behavior. From these parameters, many properties of spiking can be found through simple calculation. Thus, we show how the complex effects of noise can be understood through a simple and general probabilistic model. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

【 授权许可】

Free