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在外部电场刺激下,ELL 锥体神经元放电模式的动力学特性。

Dynamical properties of firing patterns in ELL pyramidal neuron under external electric field stimulus.

机构信息

Department of Mathematics, South China University of Technology, 510640, Guangzhou, China.

出版信息

Neurol Sci. 2013 Sep;34(9):1517-22. doi: 10.1007/s10072-012-1270-z. Epub 2012 Dec 18.


DOI:10.1007/s10072-012-1270-z
PMID:23247601
Abstract

Pyramidal neurons in the electrosensory lateral line lobe (ELL) of weakly electric fish activate in an environment of time-varying electric fields, which are generated by the fish itself, while how these pyramidal neurons would behave or what kinds of firing patterns these neurons would produce under different electric fields is still unclear. In this research, the firing behaviors of ELL pyramidal neuron under DC and AC electric field stimulus are investigated in a two-compartment neuron model. By means of numerical simulations we show that firing patterns of the model ELL pyramidal neuron are much diverse under different values of DC electric field, and neuronal spike frequency exhibits a monotone decreasing trend with the linearly increased DC fields, moreover, the transition mode between these firing patterns with the variation of DC electric fields demonstrates an explicit periodic route. While for AC electric fields, neuronal firing frequency periodically transforms with the increase of AC frequency, particularly, a special transition pattern (from multi-period bursting to spiking) repeatedly appears with the change of AC frequency. Our simulation results indicate that ELL pyramidal neurons fire dynamically under the time-varying electric fields, the diversity of firing patterns and their periodic transition modes may imply the potential roles of these dynamical firings in the coding strategy of sensory information processing.

摘要

电鳐的侧线电感觉叶中的锥体神经元在时变电场的环境中激活,这些电场是由鱼本身产生的,而这些锥体神经元在不同电场下的行为或产生的放电模式是什么仍然不清楚。在这项研究中,在双室神经元模型中研究了 ELL 锥体神经元在直流和交流电场刺激下的放电行为。通过数值模拟,我们表明,在不同的直流电场值下,模型 ELL 锥体神经元的放电模式非常多样,神经元的脉冲频率随着直流场的线性增加呈单调递减趋势,此外,这些放电模式随直流电场变化的转换模式表现出明显的周期性路径。而对于交流电场,神经元的放电频率随交流频率的增加而周期性地变化,特别是,随着交流频率的变化,会反复出现一种特殊的转换模式(从多周期爆发到脉冲)。我们的模拟结果表明,ELL 锥体神经元在时变电场下动态放电,放电模式的多样性及其周期性转换模式可能暗示了这些动态放电在感觉信息处理编码策略中的潜在作用。

相似文献

[1]
Dynamical properties of firing patterns in ELL pyramidal neuron under external electric field stimulus.

Neurol Sci. 2012-12-18

[2]
Intrinsic frequency tuning in ELL pyramidal cells varies across electrosensory maps.

J Neurophysiol. 2008-5

[3]
Feature extraction by burst-like spike patterns in multiple sensory maps.

J Neurosci. 1998-3-15

[4]
Dendritic modulation of burst-like firing in sensory neurons.

J Neurophysiol. 2001-1

[5]
Ionic and neuromodulatory regulation of burst discharge controls frequency tuning.

J Physiol Paris. 2008

[6]
Oscillatory and burst discharge across electrosensory topographic maps.

J Neurophysiol. 1996-10

[7]
A role of burst firings in encoding of spatiotemporally-varying stimulus.

Biosystems. 2004

[8]
Ghostbursting: a novel neuronal burst mechanism.

J Comput Neurosci. 2002

[9]
Plasticity in an electrosensory system. I. General features of a dynamic sensory filter.

J Neurophysiol. 1996-10

[10]
Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.

J Comput Neurosci. 2018-2

本文引用的文献

[1]
Burst firing transitions in two-compartment pyramidal neuron induced by the perturbation of membrane capacitance.

Neurol Sci. 2011-10-29

[2]
Bursts generate a non-reducible spike-pattern code.

Front Neurosci. 2009-5-1

[3]
Electric field interactions in pairs of electric fish: modeling and mimicking naturalistic inputs.

Biol Cybern. 2008-6

[4]
Sensitivity of coherent oscillations in rat hippocampus to AC electric fields.

J Physiol. 2007-9-1

[5]
Periodic forcing of a model sensory neuron.

Phys Rev E Stat Nonlin Soft Matter Phys. 2003-5

[6]
A two-variable model of somatic-dendritic interactions in a bursting neuron.

Bull Math Biol. 2002-9

[7]
Ghostbursting: a novel neuronal burst mechanism.

J Comput Neurosci. 2002

[8]
Neural architecture of the electrosensory lateral line lobe: adaptations for coincidence detection, a sensory searchlight and frequency-dependent adaptive filtering.

J Exp Biol. 1999-5

[9]
Fast burst firing and short-term synaptic plasticity: a model of neocortical chattering neurons.

Neuroscience. 1999-3

[10]
Bursts as a unit of neural information: making unreliable synapses reliable.

Trends Neurosci. 1997-1

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